Leaderboards/Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence (XAI)

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Sercan Ö. Arık
Google (United States)
2
Tianyu Wu
Yunnan Agricultural University
3
Nadia Burkart
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
4
Valerie Chen
Carnegie Mellon University
5
Chris Stokel-Walker
Newcastle upon Tyne Hospital
6
Zana Buçinca
Harvard University Press
7
J.D. Zamfirescu-Pereira
University of California, Berkeley
8
Weixin Liang
Stanford University
9
Sayash Kapoor
Princeton University
10
Abid Haleem
Jamia Millia Islamia

Rising Stars Papers

1
Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis
NEJM AI|2024
166 cit.
2
Quantifying large language model usage in scientific papers
Nature Human Behaviour|2025
35 cit.
3
Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges
Green Technologies and Sustainability|2024
28 cit.
4
Beyond Code Generation: LLM-supported Exploration of the Program Design Space
Unknown Journal|2025
27 cit.
5
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
Unknown Journal|2025
25 cit.
6
AI-guided few-shot inverse design of HDP-mimicking polymers against drug-resistant bacteria
Nature Communications|2024
24 cit.
7
61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?)
Unknown Journal|2025
23 cit.
8
Why an overreliance on AI-driven modelling is bad for science
Nature|2025
20 cit.
9
Promises and Pitfalls of Artificial Intelligence for Legal Applications
SSRN Electronic Journal|2024
19 cit.
10
Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI
Nature Machine Intelligence|2024
16 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Tamer Abuhmed
Sungkyunkwan University
2
Khan Muhammad
Sungkyunkwan University
3
Been Kim
Google (United States)
4
Bich‐Phuong Thi Nguyen
Ton Duc Thang University
5
Chudi Zhong
Duke University
6
Himabindu Lakkaraju
Harvard University Press
7
Qian Yang
Zhejiang University
8
Y. Zhang
Unknown
9
Ilkka Tuomi
Meaning Processing (Finland)
10
Timo Speith
Heidelberg University

Emerging Leaders Papers

1
Ethical principles for artificial intelligence in education
Education and Information Technologies|2022
1k cit.
2
Interpretable machine learning: Fundamental principles and 10 grand challenges
Statistics Surveys|2022
844 cit.
3
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
Unknown Journal|2023
799 cit.
4
State of the art and practice in <scp>AI</scp> in education
European Journal of Education|2022
760 cit.
5
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
CHI Conference on Human Factors in Computing Systems|2022
321 cit.
6
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
Unknown Journal|2023
205 cit.
7
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
Artificial Intelligence Review|2024
136 cit.
8
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data
Information Fusion|2022
113 cit.
9
Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time
Neural Computing and Applications|2022
101 cit.
10
From Responsibility to Reason-Giving Explainable Artificial Intelligence
Philosophy & Technology|2022
98 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Carlos Guestrin
University of Washington
2
Dhruv Batra
Georgia Institute of Technology
3
Yoshua Bengio
Université de Montréal
4
Francisco Herrera
Universidad de Granada
5
Klaus‐Robert Müller
Korea University
6
Su‐In Lee
University of Washington
7
Wojciech Samek
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
8
Javier Del Ser
Basque Center for Applied Mathematics
9
Mohammed Berrada
Sidi Mohamed Ben Abdellah University
10
Xia Hu
Yunnan Agricultural University

Current Senior Leaders Papers

1
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Unknown Journal|2017
21.6k cit.
2
"Why Should I Trust You?"
Unknown Journal|2016
15.2k cit.
3
Generative adversarial networks
Communications of the ACM|2020
13.6k cit.
4
Understanding the difficulty of training deep feedforward neural networks
Unknown Journal|2010
12.7k cit.
5
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Information Fusion|2019
9k cit.
6
From local explanations to global understanding with explainable AI for trees
Nature Machine Intelligence|2020
8.9k cit.
7
Learning long-term dependencies with gradient descent is difficult
IEEE Transactions on Neural Networks|1994
8.5k cit.
8
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Neural Computation|1998
8.1k cit.
9
Random search for hyper-parameter optimization
Unknown Journal|2012
7.9k cit.
10
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
arXiv (Cornell University)|2015
7.5k cit.

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