--- title: "Machine Learning: 20 recent papers (last 30 days)" description: "Machine Learning published 20 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of 239 journals." url: https://scholar4ai.com/journals/machine-learning markdown_url: https://scholar4ai.com/journals/machine-learning.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) data_url: https://scholar4ai.com/data/rankings.json updated: 2026-10-26T13:22:50+09:00 window: 2026-09-27 to 2026-10-26 source: OpenAlex (CC0) --- # Machine Learning - 1 papers in the last 7 days - category: AI - publisher: Springer Science+Business Media - ISSN 0885-6125 Back to the ranking: https://scholar4ai.com/rankings/journals.md ## Key findings - Machine Learning published 20 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of 239 journals. - Leading institutions: Nanjing University (2), Zhejiang Normal University (2) and Queen's University Belfast (1). - Countries: China (9), United Kingdom (2) and Italy (2). - From Apr 2024 to Sep 2026, Machine Learning published 720 papers (24 a month on average, by publication date in OpenAlex). - Its most frequent keywords over that period were “large language models” (46), “explainable AI” (37) and “interpretability” (33). - Its most-cited paper of the period is “An in-depth review and analysis of mode collapse in generative adversarial networks” (2025-04-24), with 50 citations. ## The last 30 months *Papers by publication date, Apr 2024 to Sep 2026* | Apr 24–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 30 months | |---:|---:|---:|---:| | 116 | 293 | 311 | 720 | *Most frequent keywords, Apr 2024 to Sep 2026* | # | Keyword | Papers | |---:|---|---:| | 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 46 | | 2 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 37 | | 3 | interpretability | 33 | | 4 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 32 | | 5 | tabular data | 20 | | 6 | computational efficiency | 16 | | 7 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 16 | | 8 | semi-supervised learning | 16 | | 9 | class imbalance | 15 | | 10 | counterfactual explanations | 15 | *Most-cited papers published Apr 2024 to Sep 2026* | # | Citations | Per month | Title | Journal | Published | Authors | |---:|---:|---:|---|---|---|---| | 1 | 50 | 2.8 | [An in-depth review and analysis of mode collapse in generative adversarial networks](https://doi.org/10.1007/s10994-025-06772-7) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2025-04-24 | Farhat Lamia Barsha, William Eberle | | 2 | 25 | 1.3 | [A survey on self-supervised methods for visual representation learning](https://doi.org/10.1007/s10994-024-06708-7) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2025-03-04 | Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner et al. | | 3 | 24 | 1.2 | [Kernel density estimation for multiclass quantification](https://doi.org/10.1007/s10994-024-06726-5) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2025-02-19 | Alejandro Moreo, Pablo González, Juan José del Coz | | 4 | 23 | 1.3 | [Heat transfer flow of non-Newtonian eyring-powell fluid with mixed convection heterogeneous and homogeneous reactions using linear regression based machine learning approach](https://doi.org/10.1007/s10994-025-06774-5) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2025-04-29 | R. Ellahi, N. Khalid, A. Zeeshan et al. | | 5 | 22 | 2.0 | [Explaining Random Forest and XGBoost with Shallow Decision Trees by Co-clustering Feature Importance](https://doi.org/10.1007/s10994-025-06932-9) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2025-11-20 | Ruggero G. Pensa, Anton Crombach, Sergio Peignier et al. | *Papers, newest first.* | Date | Title | Journal | Authors | Affiliations | |---|---|---|---|---| | 2026-10-20 | [Weighted UnLearning from Experience for Improved Spurious Correlation Robustness](https://doi.org/10.1007/s10994-026-07164-1) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Jeff Mitchell, Jesus; id_orcid 0000-0002-9574-4138 Martinez-del-Rincon, Niall McLaughlin | Queen's University Belfast | | 2026-10-17 | [Beyond Likelihood Ratio Bias: Nested Multi-time Scale Stochastic Approximation for Likelihood-Free Parameter Estimation](https://doi.org/10.1007/s10994-026-07175-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Zehao Li, Zhouchen Lin, Yijie Peng | Peking University; Nanjing 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 | | 2026-10-01 | [Product Manifold Flow Matching for Mixed-Type Tabular Data Generation](https://doi.org/10.1007/s10994-026-07178-9) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Shikun Chen, Yangguang Liu | Ningbo University of Finance & Economics | | 2026-10-01 | [Addressing Methodological Challenges in Time Series Anomaly Detection](https://doi.org/10.1007/s10994-026-07183-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Nancy Xu, Henrik Boström | | | 2026-10-01 | [RLAX: A Reinforcement Learning-Based Framework for Explaining Anomalous Data](https://doi.org/10.1007/s10994-026-07182-z) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Simone Amirato, Fabrizio Angiulli, Fabio Fassetti | University of Calabria | | 2026-10-01 | [MMT: Achieving Exact Federated Unlearning with Improved Post-unlearning Performance](https://doi.org/10.1007/s10994-026-07117-8) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Z. Zhang, Nhung Bui, Arun Verma et al. | National University of Singapore; Singapore-MIT Alliance for Research and Technology | | 2026-10-01 | [A Survey on Loss-based Regularization for Model Generalization](https://doi.org/10.1007/s10994-026-07139-2) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Yaxing Huang, Chenhe Zhang, Renjun Xu et al. | Xinjiang University; Zhejiang University | | 2026-10-01 | [KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs](https://doi.org/10.1007/s10994-026-07172-1) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Raffaele Scaringi, Alejandro Sierra Múnera, Gennaro Vessio et al. | University of Bari Aldo Moro; Hasso Plattner Institute; University of Potsdam; … | | 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 | | 2026-10-01 | [Large Language Model Guided Series Saliency Module for Accurate and Interpretable Multivariate Time Series Forecasting](https://doi.org/10.1007/s10994-026-07045-7) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Qingyi Pan, Liyuan Wang, Xiaoyu Chen et al. | Tsinghua University | | 2026-10-01 | [Beyond Lipschitz: generalization and optimization analysis for adversarial training under Hölder-type conditions](https://doi.org/10.1007/s10994-026-07181-0) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Hailiang Ye, Ziqi An, Feilong Cao | China Jiliang University; Zhejiang Normal University | | 2026-10-01 | [FedHybrid-ViT: A Federated-Hybrid Framework for Generalizable Deepfake Detection on Heterogeneous Data](https://doi.org/10.1007/s10994-026-07171-2) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Abdullah Mohammad Sakib, Md. Mohashin Hossain, Mahedy Hasan Foysal et al. | International University of Business Agriculture and Technology; Dhaka International University; United International University | | 2026-10-01 | [TACCO: Actor–Critic Contrastive Optimization for OOD Action Mitigation in Offline Reinforcement Learning](https://doi.org/10.1007/s10994-026-07170-3) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Haotian Zhang, Chen Wang, Jun Moon | Hanyang University | | 2026-10-01 | [SURGE: Structural Perturbation Response Field Guided Residual Distillation for Graph Unlearning](https://doi.org/10.1007/s10994-026-07176-x) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Chaofan Shen, Min Wang, Jing Zhang | Southeast University | | 2026-10-01 | [On Kernel Eigen-Alignments of KRR: Reconstruction and Generalization](https://doi.org/10.1007/s10994-026-07177-w) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Yang Liu, Ernest Fokoue, Richard Lange et al. | Rochester Institute of Technology | | 2026-10-01 | [Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery](https://doi.org/10.1007/s10994-026-07167-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Xiaochen Zhang, Haoyi Xiong | Shandong University; Microsoft (United States) | | 2026-09-28 | [Differentially Private Stochastic Gradient Descent for Outcome Weighted Learning](https://doi.org/10.1007/s10994-026-07168-x) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Aoli Yang, Jun Fan, Yunwen Lei et al. | Zhejiang Normal University; Hong Kong Baptist University; University of Hong Kong | | 2026-09-28 | [Joint Representation Learning for Expert Discovery](https://doi.org/10.1007/s10994-026-07166-z) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Roohollah Etemadi, Morteza Zihayat, Kuan Feng et al. | Toronto Metropolitan University; IBM (Canada); University of Guelph; … | | 2026-09-28 | [CausalCACTUS: A Causally Consistent and Context-Aware Framework for Counterfactual Explanations](https://doi.org/10.1007/s10994-026-07155-2) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Zhendong Wang, Diego García, José María Enguita et al. | KTH Royal Institute of Technology; Universidad de Oviedo | ## Cite this page Scholar4AI. (2026). Machine Learning. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/machine-learning ```bibtex @misc{scholar4ai-journals-machine-learning, author = {{Scholar4AI}}, title = {Machine Learning}, year = {2026}, howpublished = {\url{https://scholar4ai.com/journals/machine-learning}}, 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/).