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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges
Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
Communications in computer and information science (2020), pp. 417-431
Open Access | Times Cited: 411

Showing 51-75 of 411 citing articles:

Guaranteeing Correctness in Black-Box Machine Learning: A Fusion of Explainable AI and Formal Methods for Healthcare Decision-Making
Nadia Khan, Muhammad Nauman, Ahmad Almadhor, et al.
IEEE Access (2024) Vol. 12, pp. 90299-90316
Open Access | Times Cited: 11
The role of institutions in early-stage entrepreneurship: An explainable artificial intelligence approach
Byron Graham, Karen Bonner
Journal of Business Research (2024) Vol. 175, pp. 114567-114567
Open Access | Times Cited: 10
Hyperparameter Tuning in Machine Learning: A Comprehensive Review
Justus A Ilemobayo, Olamide I Durodola, Oreoluwa Alade, et al.
Journal of Engineering Research and Reports (2024) Vol. 26, Iss. 6, pp. 388-395
Open Access | Times Cited: 10
Data‐Driven Equation Discovery of a Cloud Cover Parameterization
Arthur Grundner, Tom Beucler, Pierre Gentine, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 3
Open Access | Times Cited: 9
Artificial Intelligence
Lorella Bottino, Marzia Settino, Mario Cannataro
(2024), pp. 11-23
Closed Access | Times Cited: 9
Towards responsible AI: an implementable blueprint for integrating explainability and social-cognitive frameworks in AI systems
Rittika Shamsuddin, Habib Boloorchi Tabrizi, Pavan R. Gottimukkula
AI Perspectives & Advances (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 1
A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1
Beyond Development: Challenges in Deploying Machine-Learning Models for Structural Engineering Applications
Mohsen Zaker Esteghamati, Brennan Bean, Henry Burton, et al.
Journal of Structural Engineering (2025) Vol. 151, Iss. 6
Closed Access | Times Cited: 1
Latent Representation Learning for Structural Characterization of Catalysts
Prahlad K. Routh, Yang Liu, Nicholas Marcella, et al.
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 8, pp. 2086-2094
Closed Access | Times Cited: 42
Predictive case-based feature importance and interaction
Sejong Oh
Information Sciences (2022) Vol. 593, pp. 155-176
Open Access | Times Cited: 38
Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems
Vivek Srikrishnan, David C. Lafferty, Tony E. Wong, et al.
Earth s Future (2022) Vol. 10, Iss. 8
Closed Access | Times Cited: 38
Interpretation and Classification of Arrhythmia Using Deep Convolutional Network
Prateek Singh, Ambalika Sharma
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 37
Towards an Explainable Universal Feature Set for IoT Intrusion Detection
Mohammed M. Alani, Ali Miri
Sensors (2022) Vol. 22, Iss. 15, pp. 5690-5690
Open Access | Times Cited: 32
Machine Learning in Tissue Engineering
Jason L. Guo, Michael Januszyk, Michael T. Longaker
Tissue Engineering Part A (2022) Vol. 29, Iss. 1-2, pp. 2-19
Open Access | Times Cited: 32
Towards Explainability for AI Fairness
Jianlong Zhou, Fang Chen, Andreas Holzinger
Lecture notes in computer science (2022), pp. 375-386
Open Access | Times Cited: 29
Interpretability of Machine Learning: Recent Advances and Future Prospects
Lei Gao, Ling Guan
IEEE Multimedia (2023) Vol. 30, Iss. 4, pp. 105-118
Open Access | Times Cited: 20
Deep learning with microfluidics for on-chip droplet generation, control, and analysis
Hao Sun, Wantao Xie, Jin Mo, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 20
Exploring interpretable and non-interpretable machine learning models for estimating winter wheat evapotranspiration using particle swarm optimization with limited climatic data
Xin Zhao, Lei Zhang, Ge Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108140-108140
Closed Access | Times Cited: 20
Informing antimicrobial stewardship with explainable AI
Massimo Cavallaro, Ed Moran, Benjamin Collyer, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 1, pp. e0000162-e0000162
Open Access | Times Cited: 19
Explainable machine learning for project management control
José Ignacio Santos, María Pereda, Virginia Ahedo, et al.
Computers & Industrial Engineering (2023) Vol. 180, pp. 109261-109261
Open Access | Times Cited: 19
Bayesian optimization and ensemble learning algorithm combined method for deformation prediction of concrete dam
Mingkai Liu, Zhiping Wen, Renlian Zhou, et al.
Structures (2023) Vol. 54, pp. 981-993
Closed Access | Times Cited: 18
Explainable Artificial Intelligence Model for Predictive Maintenance in Smart Agricultural Facilities
Melvin Kisten, Absalom E. Ezugwu, Micheal O. Olusanya
IEEE Access (2024) Vol. 12, pp. 24348-24367
Open Access | Times Cited: 8
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination
Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, et al.
Neurocomputing (2024) Vol. 602, pp. 128282-128282
Open Access | Times Cited: 8
An Interpretable Machine Learning Strategy for Antimalarial Drug Discovery with LightGBM and SHAP
Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi
Journal of Future Artificial Intelligence and Technologies (2024) Vol. 1, Iss. 2, pp. 84-95
Open Access | Times Cited: 8
Cancer classification using RNA sequencing gene expression data based on Game Shapley local search embedded binary social ski-driver optimization algorithms
Sana Afreen, Ajay Kumar Bhurjee, Rabia Musheer Aziz
Microchemical Journal (2024) Vol. 205, pp. 111280-111280
Closed Access | Times Cited: 7

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