Papers on “interpretability”

Research on “interpretability” 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.

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Key findings#

From 2017 to 2026 (so far), the keyword “interpretability” appeared in 1,697 papers in the tracked journals, most of them in AI (1,473), operations research (85) and information systems (46).
401 of them were published in 2025, against 13 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (29), University of Electronic Science and Technology of China (28) and Zhejiang University (28).
The journals publishing most of them were Expert Systems with Applications (208), Knowledge-Based Systems (125) and Neural Networks (73).
The most-cited of them is “Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI” (Information Fusion, 2019), with 10,445 citations.

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	13	16	40	59	105	154	165	241	355	325
Operations Research	0	1	3	4	6	8	11	11	22	19
Information Systems	0	0	0	5	7	4	6	5	9	10
Economics	0	0	0	3	4	2	1	8	3	9
Finance	0	0	0	0	0	0	5	5	3	5
Statistics	0	4	0	1	0	1	2	2	2	5
Higher Education and Research	0	0	0	0	3	0	1	0	2	4
Marketing	0	0	0	0	1	0	0	2	2	4
Management	0	1	0	0	0	1	0	0	0	1
Tourism and Hospitality	0	0	0	0	0	0	2	0	1	0
Accounting	0	0	0	0	0	1	0	0	1	0
Health Economics and Policy	0	0	0	0	0	0	0	0	1	0
All categories	13	22	43	72	126	171	193	274	401	382

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Expert Systems with Applications	208
2	Knowledge-Based Systems	125
3	Neural Networks	73
4	Pattern Recognition	70
5	Information Fusion	60
6	Neural Computing and Applications	53
7	IEEE Transactions on Fuzzy Systems	52
8	IEEE Transactions on Neural Networks and Learning Systems	50
9	Applied Intelligence	48
10	IEEE Transactions on Knowledge and Data Engineering	46

Institutions with the most papers, since 2023
#	Institution	Papers
1	Chinese Academy of Sciences	29
2	University of Electronic Science and Technology of China	28
3	Zhejiang University	28
4	Tsinghua University	27
5	Northwestern Polytechnical University	26
6	Sichuan University	25
7	University of Science and Technology of China	23
8	Xi'an Jiaotong University	23
9	Dalian University of Technology	22
10	Harbin Institute of Technology	21

Countries with the most papers, since 2023
#	Country	Papers
1	China	767
2	United States	121
3	United Kingdom	83
4	Italy	64
5	Australia	59
6	Hong Kong	58
7	Spain	49
8	South Korea	47
9	India	46
10	Germany	37

Keywords with the most papers, since 2023
#	Keyword	Papers
1	explainable AI	149
2	large language models	94
3	graph neural networks	75
4	attention mechanism	56
5	feature selection	54
6	SHAP	40
7	class imbalance	32
8	black-box models	31
9	transformer models	30

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	10,445	127.0	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI	Information Fusion	2019-12-26	Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser et al.
2	3,279	50.8	Temporal Fusion Transformers for interpretable multi-horizon time series forecasting	International Journal of Forecasting	2021-06-16	Bryan Y. Lim, Sercan Ö. Arık, Nicolas Loeff et al.
3	2,517	34.8	A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI	IEEE Transactions on Neural Networks and Learning Systems	2020-10-21	Erico Tjoa, Cuntai Guan
4	800	7.7	A hybrid deep learning based traffic flow prediction method and its understanding	Transportation Research Part C Emerging Technologies	2018-03-20	Yuankai Wu, Huachun Tan, Lingqiao Qin et al.
5	717	11.4	Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond	Information Fusion	2021-07-31	Guang Yang, Qinghao Ye, Jun Xia

Research ideas that follow this keyword#

Explaining the optimizer's answer

Cite this page

Scholar4AI. (2026). Papers on “interpretability”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/interpretability

@misc{scholar4ai-keywords-interpretability,
  author = {{Scholar4AI}},
  title = {Papers on “interpretability”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/interpretability}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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