---
title: "shap/shap: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-shap-shap
markdown_url: https://scholar4ai.com/code/github-shap-shap.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# shap/shap: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*Papers linking to shap/shap by publication year*

| Year | Papers |
|---|---:|
| 2021 | 2 |
| 2022 | 4 |
| 2023 | 3 |
| 2024 | 3 |
| 2025 | 5 |
| 2026 | 5 |

## Journals

*Journals whose papers link to shap/shap most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 6 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 3 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 3 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| [Economics of Governance](https://scholar4ai.com/journals/economics-of-governance.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods](https://doi.org/10.1186/s40537-024-00905-w) (Journal Of Big Data, 2024)
  - [A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights](https://doi.org/10.1186/s40537-025-01229-z) (Journal Of Big Data, 2025) — cites the paper above

## Papers

*Papers linking to shap/shap, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-03-26 | [Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods](https://doi.org/10.1186/s40537-024-00905-w) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Huanjing Wang, Qianxin Liang, John Hancock et al. | 633 | cites it |
| 2021-01-14 | [Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, Spain](https://doi.org/10.1016/j.eswa.2021.114590) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Juan Ramón Rico-Juan, Paloma Taltavull de La Paz | 137 | cites it |
| 2022-12-05 | [Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data](https://doi.org/10.1016/j.inffus.2022.11.028) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Nasir Rahim, Shaker El–Sappagh, Sajid Ali et al. | 122 | cites it |
| 2021-03-27 | [Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study](https://doi.org/10.1007/s10462-021-09986-y) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Manuel J. Rivera, Miguel Ángel Teruel, Alejandro Maté et al. | 104 | cites it |
| 2023-06-21 | [RamanNet: a generalized neural network architecture for Raman spectrum analysis](https://doi.org/10.1007/s00521-023-08700-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Abdullah Khandakar et al. | 48 | cites it |
| 2022-06-28 | [Explainable inflation forecasts by machine learning models](https://doi.org/10.1016/j.eswa.2022.117982) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Serkan Aras, Paulo J.G. Lisboa | 37 | cites it |
| 2023-03-14 | [A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment](https://doi.org/10.1016/j.csl.2023.101514) | [Computer Speech & Language](https://scholar4ai.com/journals/computer-speech-language.md) | Yasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto et al. | 31 | cites it |
| 2022-09-20 | [Lifecycle research of social media rumor refutation effectiveness based on machine learning and visualization technology](https://doi.org/10.1016/j.ipm.2022.103077) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Zongmin Li, Xinyu Du, Ye Zhao et al. | 30 | cites it |
| 2025-07-11 | [A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights](https://doi.org/10.1186/s40537-025-01229-z) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Gonzalo A. Vivian, Richard A. Bauder, Taghi M. Khoshgoftaar | 17 | cites it |
| 2024-04-01 | [Study regarding the influence of a student’s personality and an LMS usage profile on learning performance using machine learning techniques](https://doi.org/10.1007/s10489-024-05483-1) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Juan Ramón Rico-Juan, Cristina Cachero, Hermenegilda Macià | 16 | cites it |
| 2024-12-04 | [Explainable hybrid tabular Variational Autoencoder and feature Tokenizer Transformer for depression prediction](https://doi.org/10.1016/j.eswa.2024.126084) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Vinh Quang Tran, Haewon Byeon | 16 | cites it |
| 2023-11-20 | [Fundamental period estimation of RC buildings by considering structural and non-structural damage distributions through neural network](https://doi.org/10.1007/s00521-023-09107-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Ömer Faruk Çınar, Alper Aldemir, Altan Zervent et al. | 9 | cites it |
| 2025-04-11 | [Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers](https://doi.org/10.1186/s40537-025-01138-1) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Bosuk Kang, Minsu Park, Angel Pasqual del Pobil et al. | 8 | cites it |
| 2026-06-03 | [Unveiling structural patterns of global budget transparency using advanced machine learning and explainable artificial intelligence frameworks](https://doi.org/10.1007/s10101-026-00365-3) | [Economics of Governance](https://scholar4ai.com/journals/economics-of-governance.md) | Sadullah Çelik, Sercan Yavan, Gamze ÇİMEN | 7 | cites it |
| 2022-03-12 | [Learning of physically significant features from earth observation data: an illustration for crop classification and irrigation scheme detection](https://doi.org/10.1007/s00521-022-07019-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Pattathal Vijayakumar Arun, Arnon Karnieli | 5 | cites it |
| 2025-11-03 | [Achieving faithful explainability in feedforward neural networks through accurately computed feature attribution](https://doi.org/10.1016/j.neunet.2025.108277) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Jose L. Carles-Bou, Enrique J. Carmona | 5 | cites it |
| 2025-12-25 | [Towards integration of privacy enhancing technologies in explainable artificial intelligence](https://doi.org/10.1016/j.knosys.2025.115235) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Sonal Allana, Rozita A. Dara, Xiaodong Lin et al. | 5 | cites it |
| 2025-07-30 | [Labeling issues through semantic patterns in open-source Agile practices](https://doi.org/10.1016/j.knosys.2025.114197) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Nevena Ranković, Dragica Ranković | 4 | cites it |
| 2026-02-07 | [Does uncertainty always harm the creditor’s interest?](https://doi.org/10.1007/s10479-026-07072-6) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Sami Ben Jabeur, Sabri Boubaker, Pedro Carmona et al. | 0 | cites it |
| 2026-04-01 | [Effective adversarial example detection with DeepSHAP summary](https://doi.org/10.1007/s00521-026-11975-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Yi-Ching Lin, Fang Yu | 0 | cites it |
| 2026-06-01 | [Enhancing multi-class satellite image classification with MRCL-ELM: a hybrid explainable deep learning approach](https://doi.org/10.1007/s00521-026-12192-y) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Md Ashik Ahmmed, Rashel Mahmud Rabbi, Md Shafiuzzaman et al. | 0 | cites it |
| 2026-08-01 | [A probabilistic dual-stream deep learning framework for multi-stage renal cell carcinoma classification from CT images](https://doi.org/10.1007/s00521-026-12431-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Anindita Khade, Gaurav Keshari, Karan Nadar | 0 | cites 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

```bibtex
@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}
}
```

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