Papers on “SHAP”
Research on “SHAP” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.
← Top research keywords · Keyword trends
Key findings#
- From 2017 to 2026 (so far), the keyword “SHAP” appeared in 707 papers in the tracked journals, most of them in AI (362), operations research (106) and finance (71).
- 220 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Hong Kong Polytechnic University (11), Central South University (10) and Huazhong University of Science and Technology (8).
- The journals publishing most of them were Expert Systems with Applications (120), Neural Computing and Applications (53) and Knowledge-Based Systems (37).
- The most-cited of them is “Explaining anomalies detected by autoencoders using Shapley Additive Explanations” (Expert Systems with Applications, 2021), with 497 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 0 | 1 | 0 | 1 | 8 | 25 | 47 | 53 | 117 | 110 |
| Operations Research | 0 | 0 | 0 | 0 | 1 | 4 | 10 | 19 | 39 | 33 |
| Finance | 0 | 0 | 0 | 2 | 1 | 2 | 12 | 14 | 17 | 23 |
| Economics | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 8 | 19 | 30 |
| Information Systems | 0 | 0 | 0 | 0 | 2 | 4 | 3 | 7 | 10 | 14 |
| Higher Education and Research | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 8 | 3 | 5 |
| Management | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 5 | 6 |
| Tourism and Hospitality | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 |
| Marketing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 |
| Accounting | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 |
| Health Economics and Policy | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| Statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| All categories | 0 | 1 | 0 | 4 | 12 | 43 | 80 | 113 | 220 | 234 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 120 |
| 2 | Neural Computing and Applications | 53 |
| 3 | Knowledge-Based Systems | 37 |
| 4 | Computational Economics | 30 |
| 5 | Journal Of Big Data | 20 |
| 6 | Applied Intelligence | 19 |
| 7 | Computers & Industrial Engineering | 18 |
| 8 | Annals of Operations Research | 17 |
| 9 | Artificial Intelligence Review | 17 |
| 10 | Decision Support Systems | 13 |
| # | Institution | Papers |
|---|---|---|
| 1 | Hong Kong Polytechnic University | 11 |
| 2 | Central South University | 10 |
| 3 | Huazhong University of Science and Technology | 8 |
| 4 | King Saud University | 8 |
| 5 | China Three Gorges University | 7 |
| 6 | Norwegian University of Science and Technology | 7 |
| 7 | Southwest Jiaotong University | 7 |
| 8 | Centre National de la Recherche Scientifique | 6 |
| 9 | Chinese Academy of Sciences | 6 |
| 10 | Nanyang Technological University | 6 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 210 |
| 2 | United States | 88 |
| 3 | India | 51 |
| 4 | United Kingdom | 47 |
| 5 | South Korea | 38 |
| 6 | Turkey | 38 |
| 7 | Australia | 33 |
| 8 | Saudi Arabia | 26 |
| 9 | Spain | 25 |
| 10 | Italy | 25 |
| # | Keyword | Papers |
|---|---|---|
| 1 | explainable AI | 218 |
| 2 | XGBoost | 108 |
| 3 | lime | 98 |
| 4 | model interpretability | 90 |
| 5 | random forest | 65 |
| 6 | explainable machine learning | 63 |
| 7 | feature importance | 57 |
| 8 | class imbalance | 52 |
| 9 | feature selection | 52 |
Most-cited papers#
Cite this page
Scholar4AI. (2026). Papers on “SHAP”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/shap
@misc{scholar4ai-keywords-shap,
author = {{Scholar4AI}},
title = {Papers on “SHAP”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/shap}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}