Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

shap/shap: papers linking to it

GitHub · 25,845 stars · 3,785 forks · Jupyter Notebook · license MIT · created 2016 · github.com/shap/shap

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to shap/shap (https://github.com/shap/shap), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Key findings#

  • 22 papers in the tracked journals link to the GitHub repository shap/shap in their Crossref records, the first in 2021; most of them (5) in 2026.
  • By category: AI (20), Economics (1) and Operations Research (1); the journals with the most are Neural Computing and Applications (6), Expert Systems with Applications (3) and Journal Of Big Data (3).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links shap/shap.

By year#

2021: 2 papers2022: 4 papers2023: 3 papers2024: 3 papers2025: 5 papers2026: 5 papers
20212026
Papers linking to shap/shap by publication year
YearPapers
20212
20224
20233
20243
20255
20265

Journals#

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Papers linking to shap/shap, most cited first
PublishedTitleJournalAuthorsCitationsLink
2024-03-26Feature selection strategies: a comparative analysis of SHAP-value and importance-based methodsJournal Of Big DataHuanjing Wang, Qianxin Liang, John Hancock et al.633cites it
2021-01-14Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, SpainExpert Systems with ApplicationsJuan Ramón Rico-Juan, Paloma Taltavull de La Paz137cites it
2022-12-05Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series dataInformation FusionNasir Rahim, Shaker El–Sappagh, Sajid Ali et al.122cites it
2021-03-27Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping studyArtificial Intelligence ReviewManuel J. Rivera, Miguel Ángel Teruel, Alejandro Maté et al.104cites it
2023-06-21RamanNet: a generalized neural network architecture for Raman spectrum analysisNeural Computing and ApplicationsNabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Abdullah Khandakar et al.48cites it
2022-06-28Explainable inflation forecasts by machine learning modelsExpert Systems with ApplicationsSerkan Aras, Paulo J.G. Lisboa37cites it
2023-03-14A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairmentComputer Speech & LanguageYasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto et al.31cites it
2022-09-20Lifecycle research of social media rumor refutation effectiveness based on machine learning and visualization technologyInformation Processing & ManagementZongmin Li, Xinyu Du, Ye Zhao et al.30cites it
2025-07-11A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insightsJournal Of Big DataGonzalo A. Vivian, Richard A. Bauder, Taghi M. Khoshgoftaar17cites it
2024-04-01Study regarding the influence of a student’s personality and an LMS usage profile on learning performance using machine learning techniquesApplied IntelligenceJuan Ramón Rico-Juan, Cristina Cachero, Hermenegilda Macià16cites it
2024-12-04Explainable hybrid tabular Variational Autoencoder and feature Tokenizer Transformer for depression predictionExpert Systems with ApplicationsVinh Quang Tran, Haewon Byeon16cites it
2023-11-20Fundamental period estimation of RC buildings by considering structural and non-structural damage distributions through neural networkNeural Computing and ApplicationsÖmer Faruk Çınar, Alper Aldemir, Altan Zervent et al.9cites it
2025-04-11Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchersJournal Of Big DataBosuk Kang, Minsu Park, Angel Pasqual del Pobil et al.8cites it
2026-06-03Unveiling structural patterns of global budget transparency using advanced machine learning and explainable artificial intelligence frameworksEconomics of GovernanceSadullah Çelik, Sercan Yavan, Gamze ÇİMEN7cites it
2022-03-12Learning of physically significant features from earth observation data: an illustration for crop classification and irrigation scheme detectionNeural Computing and ApplicationsPattathal Vijayakumar Arun, Arnon Karnieli5cites it
2025-11-03Achieving faithful explainability in feedforward neural networks through accurately computed feature attributionNeural NetworksJose L. Carles-Bou, Enrique J. Carmona5cites it
2025-12-25Towards integration of privacy enhancing technologies in explainable artificial intelligenceKnowledge-Based SystemsSonal Allana, Rozita A. Dara, Xiaodong Lin et al.5cites it
2025-07-30Labeling issues through semantic patterns in open-source Agile practicesKnowledge-Based SystemsNevena Ranković, Dragica Ranković4cites it
2026-02-07Does uncertainty always harm the creditor’s interest?Annals of Operations ResearchSami Ben Jabeur, Sabri Boubaker, Pedro Carmona et al.0cites it
2026-04-01Effective adversarial example detection with DeepSHAP summaryNeural Computing and ApplicationsYi-Ching Lin, Fang Yu0cites it
2026-06-01Enhancing multi-class satellite image classification with MRCL-ELM: a hybrid explainable deep learning approachNeural Computing and ApplicationsMd Ashik Ahmmed, Rashel Mahmud Rabbi, Md Shafiuzzaman et al.0cites it
2026-08-01A probabilistic dual-stream deep learning framework for multi-stage renal cell carcinoma classification from CT imagesNeural Computing and ApplicationsAnindita Khade, Gaurav Keshari, Karan Nadar0cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). shap/shap: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-shap-shap

@misc{scholar4ai-code-github-shap-shap,
  author = {{Scholar4AI}},
  title = {shap/shap: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-shap-shap}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).