---
title: "Gradient boosting (XGBoost): formula and 68 recent papers"
description: "Gradient boosting (XGBoost) was mentioned in 68 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #13 of the 104 equations and models mentioned."
url: https://scholar4ai.com/equations/gradient-boosting-xgboost
markdown_url: https://scholar4ai.com/equations/gradient-boosting-xgboost.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Gradient boosting (XGBoost) was mentioned in 68 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #13 of the 104 equations and models mentioned."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T18:01:08+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Gradient boosting (XGBoost)

$$
\mathcal{L} = \sum_i l(y_i, \hat y_i) + \sum_k \Omega(f_k),\quad \Omega(f) = \gamma T + \tfrac{1}{2}\lambda \lVert w \rVert^2
$$

Adds trees one at a time, each fitted to the errors of the ensemble so far, with a penalty on tree complexity.

- area: Machine learning
- 10 papers in the last 7 days
- Names searched for: XGBoost, gradient boosting, LightGBM, CatBoost, GBDT

Back to the ranking: https://scholar4ai.com/rankings/equations.md

## Key findings

- Gradient boosting (XGBoost) was mentioned in 68 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #13 of the 104 equations and models mentioned.
- By journal category: AI (28), Finance (13), Economics (11), Management (10), Operations Research (5) and Accounting (1).
- Most of them appeared in Future Business Journal (6), Neural Computing and Applications (6) and Applied Intelligence (5).
- Often mentioned together with Random forest (36), Support vector machine (SVM) (25) and Long short-term memory (LSTM) (23).
- Datasets named in the same papers: OR-Library (17), Kaggle (4) and S&P 500 (3).
- From Oct 2023 to Sep 2026, 547 archived papers mentioned Gradient boosting (XGBoost) in their title, abstract or keywords, most of them in Jun 2025 (31).

## Mentions over 36 months

*Papers mentioning it by publication month, Oct 2023 to Sep 2026 (titles, abstracts and keywords)*

| Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 206 | 295 | 46 | 547 |

*Papers mentioning Gradient boosting (XGBoost), newest first. Newest 50 of 68 papers; all of them are in /data/papers.json.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-24 | [A priority-aware dual-channel feature fusion method for urban rail service traffic classification](https://doi.org/10.1007/s10489-026-07560-z) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Xinpeng Liu, Junhui Zhao, Zhengyuan Wu et al. | Beijing Jiaotong University |
| 2026-10-23 | [Dynamic prediction of loss given default in Norwegian retail credit card debt: advanced machine learning versus statistical models](https://doi.org/10.1007/s42521-026-00230-2) | [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | Cathy Ho, Isabel A. C. Sandersen, Espen Selliken et al. | Norwegian University of Science and Technology |
| 2026-10-23 | [Evaluating machine learning and econometric models for inflation forecasting: evidence from a Sub-Saharan African panel](https://doi.org/10.1186/s43093-026-01003-4) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Baffour Osei, Abigail Boatemaa, Isaac Nyame et al. | University of Skills Training and Entrepreneurial Development; University of Bradford; Kwame Nkrumah University of Science and Technology; … |
| 2026-10-23 | [Learning Dominant States in Elementary Resource Constrained Shortest Path Problems](https://doi.org/10.1007/s10479-026-07457-7) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Saverio Basso, Alessandro Minoli, Matteo Salani | Dalle Molle Institute for Artificial Intelligence Research |
| 2026-10-22 | [Research on the spatiotemporal prediction of supply chain finance risk contagion based on a dynamic graph attention diffusion mechanism](https://doi.org/10.1186/s40854-026-00980-3) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Yulong Zhang, Yulong Zhang, Yaqing Zhang et al. | Hengshui University; Columbia University |
| 2026-10-22 | [Hybrid Econometric-Machine Learning Forecasts of a Daily Variance Proxy with Block-Conformal Prediction Bands](https://doi.org/10.1007/s10614-026-11458-w) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Çağlar Sözen | Giresun University |
| 2026-10-22 | [The location logic of informal retail: dual-scale evidence from street food vendors in Hangzhou](https://doi.org/10.1016/j.jretconser.2026.105182) | [Journal of Retailing and Consumer Services](https://scholar4ai.com/journals/journal-of-retailing-and-consumer-services.md) | Kechen Xu, 陈妤凡, Yong He et al. | Zhejiang A & F University; Zhejiang University of Technology; Zhejiang University |
| 2026-10-21 | [Leveraging Machine Learning for Profit Forecasting and Cost Optimization Using Public Financial Data](https://doi.org/10.1007/s10614-026-11455-z) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Bilal Ahmad, Abdu Salam, Mian Abdulbasit et al. | University of Peshawar; Abdul Wali Khan University Mardan; Yeungnam University; … |
| 2026-10-21 | [Do platform and seller cues improve price prediction? A study on online food delivery platforms using machine learning](https://doi.org/10.1016/j.jretconser.2026.105184) | [Journal of Retailing and Consumer Services](https://scholar4ai.com/journals/journal-of-retailing-and-consumer-services.md) | Hai-Dung Do, Nam Tien Duong | Ming Chi University of Technology; University of Economics Ho Chi Minh City; Ho Chi Minh City International University |
| 2026-10-21 | [Leveraging machine learning in balancing inventories and analyzing market trends: a comprehensive systematic review](https://doi.org/10.1007/s10462-026-11723-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Md. Sakhawat Hossain, Md. Sadman Haque, Zobaer Ibn Razzaque et al. | United International University; Dhaka International University |
| 2026-10-17 | [LLM application in digital asset assessments: mixed methods research](https://doi.org/10.1007/s10115-026-02910-2) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Yann Thorens, Martin Angerer, Pejman Ebrahimi et al. | University of Liechtenstein |
| 2026-10-17 | [Attention state recognition in intelligent language learning environments using affective computing and eye tracking](https://doi.org/10.1007/s10489-026-07529-y) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Yang Yang, Yongmei Chi, Yongmei Chi et al. | Chongqing Vocational and Technical University of Mechatronics; Chongqing Vocational Institute of Engineering; National University of Malaysia |
| 2026-10-17 | [Multi-Perspective explainability in traffic prediction: A neuro-symbolic approach using CNN-LSTMs and concept lattices](https://doi.org/10.1007/s10489-026-07512-7) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Suraya Syazwani Mohamad Yusof, Hadhrami Ab Ghani, Nurul Izrin Md Saleh et al. | Universiti Malaysia Kelantan; Universiti Teknikal Malaysia Melaka; University of Technology Malaysia |
| 2026-10-16 | [Generative deep learning for class imbalance in credit risk modeling: comparative evaluation of synthetic oversampling methods and an elastic oversampling extension](https://doi.org/10.1186/s40854-026-00970-5) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Tae Yeon Kwon | Hankuk University of Foreign Studies |
| 2026-10-16 | [Public technical disclosure of AI implementation in finance: Python-framed evidence from 253 NYSE-listed financial companies](https://doi.org/10.1186/s40854-026-00979-w) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Veliota Drakopoulou | Embry–Riddle Aeronautical University |
| 2026-10-16 | [The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation](https://doi.org/10.1007/s10994-026-07140-9) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Damian Machlanski, Spyridon Samothrakis, Paul Clarke | University of Edinburgh; University of Essex; Institute for Social and Economic Research |
| 2026-10-15 | [An interpretable stacked ensemble fault diagnosis model for electric drive systems in new energy vehicles](https://doi.org/10.1016/j.eswa.2026.134728) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Jiayin Tang, Mingxing Zhao, Guo Sha et al. | Southwest Jiaotong University; West Anhui University; Xiangtan University |
| 2026-10-15 | [Understanding Financial Text Signals for Sentiment and Portfolio Behavior](https://doi.org/10.1007/s10614-026-11443-3) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Pradeep Kumar Roy |  |
| 2026-10-15 | [Prediction of polyurethane foam density using hybrid feature screening and comparative hyperparameter optimization of machine learning models](https://doi.org/10.1016/j.knosys.2026.117217) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Oluwayomi  Joel Oyejide, Faiz Ahmad, Joseph Achebo et al. | Universiti Teknologi Petronas; Federal University of Petroleum Resource Effurun; University of Benin; … |
| 2026-10-14 | [Expected investment and stock returns: A machine learning approach](https://doi.org/10.1016/j.jempfin.2026.101781) | [Journal of Empirical Finance](https://scholar4ai.com/journals/journal-of-empirical-finance.md) | Yuan Tian | Northern Illinois University |
| 2026-10-13 | [Intelligent classification of bonding status for building external thermal insulation layers using signal-driven multi-module fusion with ground-penetrating radar](https://doi.org/10.1016/j.eswa.2026.134702) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yuhan Li, Changjun Wang, Zihang Jiang et al. | Beijing Institute of Technology; Beijing Building Construction Research Institute (China) |
| 2026-10-10 | [U.S. sanctions and firm offshore activities: A firm-country analysis using natural language processing](https://doi.org/10.1016/j.jaccpubpol.2026.107482) | [Journal of Accounting and Public Policy](https://scholar4ai.com/journals/journal-of-accounting-and-public-policy.md) | Ling Tuo, Weiwei Wang, Joseph H. Zhang | Old Dominion University; Weber State University; Bowling Green State University |
| 2026-10-10 | [Decision-Aware and Explainable Credit-Default Prediction: A Reproducible Computational Benchmark of Machine-Learning Models](https://doi.org/10.1007/s10614-026-11431-7) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Shimaa M. Abd-Elsalam, Ahmed Abdelhafeez | National Research Centre; Applied Science Private University |
| 2026-10-10 | [Too little too late? Nationwide carbon trading in China](https://doi.org/10.1016/j.jpubeco.2026.105798) | [Journal of Public Economics](https://scholar4ai.com/journals/journal-of-public-economics.md) | Shuang Zhang, Douglas Almond | Centre for Economic Policy Research; Imperial College London; National Bureau of Economic Research; … |
| 2026-10-09 | [How digital intelligence drives corporate green innovation: Evidence from China](https://doi.org/10.1016/j.strueco.2026.10.004) | [Structural Change and Economic Dynamics](https://scholar4ai.com/journals/structural-change-and-economic-dynamics.md) | Tong Feng, Xiaomin Wang, Tianxin Wang et al. | Tianjin University of Finance and Economics; Qingdao Technical College |
| 2026-10-09 | [Capturing time-varying uncertainty: Does hyperparameter retuning frequency matter? Evidence from China’s high-frequency data](https://doi.org/10.1016/j.pacfin.2026.103407) | [Pacific-Basin Finance Journal](https://scholar4ai.com/journals/pacific-basin-finance-journal.md) | Lingbing Feng, Wuyan Tao, Haochen Li et al. | Jiangxi University of Finance and Economics |
| 2026-10-09 | [The naive–power law blend as a robust baseline for bitcoin price forecasting](https://doi.org/10.1007/s42521-026-00226-y) | [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | Carlos Baquero, Daniel Tinoco | INESC TEC |
| 2026-10-08 | [A novel graph-based patient embedding method for the diagnosis of Alzheimer’s disease from microRNA expression data](https://doi.org/10.1007/s10618-026-01275-y) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Veronica Buttaro, Antonio Pellicani, Gianvito Pio et al. | University of Bari Aldo Moro; Consorzio Interuniversitario Nazionale per l'Informatica; National Research Council; … |
| 2026-10-08 | [Entrepreneurship development, corruption perception, and sustainable development outcomes in emerging economies: the moderating role of digital financial inclusion](https://doi.org/10.1186/s43093-026-01019-w) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Seun Adebowale Adebanjo |  |
| 2026-10-07 | [Artificial intelligence technologies, skills demand and employment: Evidence from linked job ads](https://doi.org/10.1016/j.labeco.2026.102974) | [Labour Economics](https://scholar4ai.com/journals/labour-economics.md) | Lennert Peede, Michael Stops | Institut für Arbeitsmarkt und Berufsforschung |
| 2026-10-07 | [The conditional value relevance of ESG and innovation disclosures: a multi-method analysis of European firms combining panel econometrics and machine learning](https://doi.org/10.1007/s10479-026-07442-0) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Andreas Errikos Delegkos, Evangelia Arsenou, Dionisis Cavouras et al. | University of West Attica; University College Dublin |
| 2026-10-07 | [Bayesian Black-Litterman under Nonlinear Dependence: A Hybrid Framework with GARCH-EVT Marginals, R-Vine Copulas, and Reinforcement Learning for Tactical Portfolio Allocation](https://doi.org/10.1007/s10614-026-11433-5) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Felipe Mora, Werner Kristjanpoller | Universidad Técnica Federico Santa María |
| 2026-10-07 | [Discovering session-level demand patterns for reinforcement learning-based dynamic inventory allocation in live-streaming e-commerce](https://doi.org/10.1007/s10115-026-02895-y) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Thi-Linh Ho, Hiep Pham, Hoang Quan Dinh et al. | Ton Duc Thang University; RMIT Vietnam; University of Dubai; … |
| 2026-10-07 | [Decoding Working Memory Capacity from Gaze and Arousal Dynamics using Machine Learning](https://doi.org/10.1007/s12559-026-10664-w) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Saurabh Sharma, Atif Hassan, Rajlakshmi Guha | Indian Institute of Technology Kharagpur |
| 2026-10-05 | [Transparent forecasting with XAI: Improving accuracy and trust in electricity demand prediction](https://doi.org/10.1016/j.knosys.2026.117131) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Somya Bansal, Vaibhav Baldeva, Asmit Cajla et al. | Thapar Institute of Engineering & Technology; Torrens University Australia; Norwegian University of Science and Technology |
| 2026-10-05 | [An innovative approach to stock forecasting: combining LSTM, VMD, and artificial rabbit optimization](https://doi.org/10.1186/s43093-026-00987-3) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Homa Mehtarizadeh, Najme Mansouri, Behnam Mohammad Hasani Zade et al. | Shahid Bahonar University of Kerman |
| 2026-10-03 | [An intelligent cybersecurity framework for banking systems: integrating neural networks, large language models, and federated learning for anti-money laundering and fraud detection](https://doi.org/10.1186/s43093-026-01015-0) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Tanvir Sajid, Sajida Hafeez | National Textile University |
| 2026-10-03 | [Does gender predict trader popularity in copy trading?](https://doi.org/10.1016/j.socec.2026.102657) | [Journal of Behavioral and Experimental Economics](https://scholar4ai.com/journals/journal-of-behavioral-and-experimental-economics.md) | Mohammadehsan ESLAHI | Audencia Business School |
| 2026-10-03 | [National digitalization proxies and banking system nonperforming loan ratio forecasts](https://doi.org/10.1016/j.frl.2026.110879) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Feng Xu, Yuhan Lei | Guizhou University of Finance and Economics |
| 2026-10-03 | [AI-enabled marketing analytics for SMEs: multimethod evidence on application potential and adoption conditions](https://doi.org/10.1057/s41270-026-00539-2) | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | Anita Talitha Parsegyan, Manuel Muth, Michael Lingenfelder | Philipps University of Marburg; Reutlingen University |
| 2026-10-03 | [Sparse oblique rule boosting for simpler additive rule ensembles](https://doi.org/10.1007/s10618-026-01241-8) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Shahrzad Behzadimanesh, Pierre Le Bodic, Geoffrey I. Webb et al. | Monash University; University of Haifa |
| 2026-10-01 | [MCA-DiTGBNet: Attention-Enabled Distributed Transformer-Based LightGBM for Anomaly Detection in IoT Network](https://doi.org/10.1016/j.knosys.2026.117258) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Zeeshan Ahmed Mohammed, Mujahedullah Syed, Abdul Junaid Mohammed et al. |  |
| 2026-10-01 | [Financial contagion of climate risk: evidence from cross-industry complex networks and machine learning](https://doi.org/10.1016/j.eneco.2026.109670) | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | Xiao-Li Gong, Zhang Xiu-chao, Xiong Xiong | Qingdao University; Tianjin University |
| 2026-10-01 | [A self-monitoring explainable AI decision-support architecture for pre-publication content decisions in public-sector communication](https://doi.org/10.1016/j.knosys.2026.117219) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Sebastian Paul, Arne Johannssen | Harz University of Applied Sciences |
| 2026-10-01 | [A machine learning model for the prediction of the US news & world report ranking of the mechanical engineering graduate programs in the United States](https://doi.org/10.1007/s00521-026-12636-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Faeze Khademi, Nikith Rachakonda, Matias Salazar Ismodes et al. | University of Illinois Chicago |
| 2026-10-01 | [From Prediction to Decision: A Closed-Loop Decision-Aware Predictive-Prescriptive Framework for Anticipatory Humanitarian Logistics](https://doi.org/10.1016/j.seps.2026.102623) | [Socio-Economic Planning Sciences](https://scholar4ai.com/journals/socio-economic-planning-sciences.md) | Leonardo Sanches de Carvalho, Carlos César Ribeiro Santos | Universidade Federal da Bahia; Serviço Nacional de Aprendizagem Industrial |
| 2026-10-01 | [India VIX regime-conditional directional prediction of bank nifty: a stacking ensemble approach](https://doi.org/10.1007/s00521-026-12588-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Prakash Ukhalkar, Ravikant Zirmite, Manasi Bhate |  |
| 2026-10-01 | [A machine learning framework for prediction and inverse design of micro-hole diameters in titanium drilled by µEDM](https://doi.org/10.1007/s00521-026-12494-1) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Anshul Agrawal, Yash Yalamalli, Siddhartha Kar et al. | Ramaiah Institute of Technology |
| 2026-10-01 | [Patient-independent EEG seizure detection using channel attention and dual-branch time–frequency features](https://doi.org/10.1007/s00521-026-12518-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hrishikesh Tiwary, Arnav Bhavsar, H Muralikrishna | Indian Institute of Technology Mandi; Manipal Academy of Higher Education |
| 2026-10-01 | [Grid-based Decision Tree Learning](https://doi.org/10.1007/s10994-026-07165-0) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Qin-Cheng Zheng, Shao-Qun Zhang, Shen-Huan Lyu et al. | Nanjing University; Hohai University |

## Cite this page

Scholar4AI. (2026). Gradient boosting (XGBoost). Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/gradient-boosting-xgboost

```bibtex
@misc{scholar4ai-equations-gradient-boosting-xgboost,
  author = {{Scholar4AI}},
  title = {Gradient boosting (XGBoost)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/equations/gradient-boosting-xgboost}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).