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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:

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

Showing 20 citing articles:

A discriminative multi-modal adaptation neural network model for video action recognition
Lei Gao, Kai Liu, Ling Guan
Neural Networks (2025) Vol. 185, pp. 107114-107114
Closed Access | Times Cited: 1
Anomaly diagnosis of connected autonomous vehicles: A survey
Yukun Fang, Haigen Min, Xia Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102223-102223
Closed Access | Times Cited: 10
Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing
Lei Gao, Kai Liu, Zheng Guo, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
Advanced deep learning approaches for superior temporal analysis and forecasting of water level discharge for the Bamni River
S. S. Lachure, Ashish Tiwari
International Journal of River Basin Management (2025), pp. 1-19
Closed Access
Machine Learning Insights: Exploring Key Factors Influencing Sale-to-List Ratio—Insights from SVM Classification and Recursive Feature Selection in the US Real Estate Market
Janusz Sobieraj, Dominik Metelski
Buildings (2024) Vol. 14, Iss. 5, pp. 1471-1471
Open Access | Times Cited: 2
Towards an Intelligent Tomorrow
Kassim Kalinaki, Silviu Florin Acaru, Julius Kugonza, et al.
Advances in computational intelligence and robotics book series (2024), pp. 66-89
Closed Access | Times Cited: 1
Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges
Yogesh Chaudhari, Manisha Chaudhari, Abhijeet Puri, et al.
(2024)
Open Access | Times Cited: 1
Low-Cost LIDAR-Based Monitoring System for Fall Detection
Miguel Piñeiro, David Araya, David Ruete, et al.
IEEE Access (2024) Vol. 12, pp. 72051-72061
Open Access | Times Cited: 1
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees
Arnab Sharma, Daniel Leite, Caglar Demir, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2024), pp. 1-10
Closed Access | Times Cited: 1
A Random PRIM Based Algorithm for Interpretable Classification and Advanced Subgroup Discovery
Rym Nassih, Abdelaziz Berrado
Algorithms (2024) Vol. 17, Iss. 12, pp. 565-565
Open Access | Times Cited: 1
Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges
Yogesh Chaudhari, Manisha Chaudhari, Abhijeet Puri, et al.
(2024)
Open Access
Remaining Useful Life Prediction for Pressurized Fluid Pipelines Based on Acoustic Emission Monitoring and an Adaptive Fuzzy Similarity Measure
Duc-Thuan Nguyen, Tuan-Khai Nguyen, Zahoor Ahmad, et al.
IEEE Access (2024) Vol. 12, pp. 104518-104532
Open Access
A Systematic Review of Neural Network Applications for Groundwater Level Prediction
Samuel Afful, Cyril D. Boateng, Emmanuel Ahene, et al.
EarthArXiv (California Digital Library) (2024)
Open Access
Mathematics-Inspired Learning: A Green Learning Model with Interpretable Properties *
Ling Guan, Lei Gao, Kai Liu, et al.
(2024) Vol. 521, pp. 396-402
Closed Access
The impact of big data on decision‐making, processes and organizational change: An essay of synthesis
Jean‐Michel Sahut, Emmanuel Fragnière, Rey Dang
Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration (2024) Vol. 41, Iss. 4, pp. 508-515
Closed Access
Lightweight spatial-channel feature disentanglement modeling with confidence evaluation for uncertain industrial image
Lei Lei, Han‐Xiong Li, Haidong Yang
Applied Mathematical Modelling (2024), pp. 115844-115844
Closed Access
A simplified approach for efficiency analysis of machine learning algorithms
Muthuramalingam Sivakumar, S. Parthasarathy, S. Padmapriya
PeerJ Computer Science (2024) Vol. 10, pp. e2418-e2418
Open Access
Enhancing AI reliability: A foundation model with uncertainty estimation for optical coherence tomography-based retinal disease diagnosis
Yuanyuan Peng, Aidi Lin, Meng Wang, et al.
Cell Reports Medicine (2024), pp. 101876-101876
Open Access
A Deep Discriminant Fractional-order Canonical Correlation Analysis For Information Fusion
Lei Gao, Ling Guan
(2023), pp. 58-65
Closed Access | Times Cited: 1
Could You Understand Me? The Relationship among Method Complexity, Preprocessing Complexity, Interpretability, and Accuracy
Lívia Kelebercová, Michal Munk, František Forgáč
Mathematics (2023) Vol. 11, Iss. 13, pp. 2922-2922
Open Access
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