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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:

Explaining deep neural networks: A survey on the global interpretation methods
Rabia Saleem, Bo Yuan, Fatih Kurugöllü, et al.
Neurocomputing (2022) Vol. 513, pp. 165-180
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Harnessing deep learning for population genetic inference
Xin Huang, Aigerim Rymbekova, Olga Dolgova, et al.
Nature Reviews Genetics (2023) Vol. 25, Iss. 1, pp. 61-78
Closed Access | Times Cited: 24
Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy
Thomas Weißmann, Yixing Huang, Stefan Fischer, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 21
Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review
Harishankar Vasudevanallur Subramanian, Casey Canfield, Daniel B. Shank
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102780-102780
Open Access | Times Cited: 11
Recent advancements and applications of deep learning in heart failure: Α systematic review
Georgios Petmezas, Vasileios E. Papageorgiou, Vasileios Vassilikos, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108557-108557
Closed Access | Times Cited: 11
Data Information integrated Neural Network (DINN) algorithm for modelling and interpretation performance analysis for energy systems
Waqar Muhammad Ashraf, Vivek Dua
Energy and AI (2024) Vol. 16, pp. 100363-100363
Open Access | Times Cited: 10
Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence
Carlo Metta, Andrea Beretta, Roberto Pellungrini, et al.
Bioengineering (2024) Vol. 11, Iss. 4, pp. 369-369
Open Access | Times Cited: 8
eXplainable Artificial Intelligence (XAI) in aging clock models
Alena Kalyakulina, Igor Yusipov, Alexey Moskalev, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102144-102144
Open Access | Times Cited: 18
Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost
Ruggero G. Pensa, Anton Crombach, Sergio Peignier, et al.
Lecture notes in computer science (2025), pp. 369-384
Open Access
On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data
Tomasz Hachaj, Marcin Piekarczyk
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 538-538
Open Access
A Review on Artificial Neural Networks for Structural Analysis
Rahul Saini
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 2
Closed Access
Health state assessment method for complex system based on multiexpert joint belief rule base
Shaohong Li, Mingyuan Liu, Ning Ma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Demystifying deep credit models in e-commerce lending: An explainable approach to consumer creditworthiness
Chaoqun Wang, Yijun Li, Siyi Wang, et al.
Knowledge-Based Systems (2025), pp. 113141-113141
Closed Access
Smart Water Distribution Management Using Machine Learning Techniques
Mervat Salah, Rehab F. Abdel‐Kader, Shereen El‐Shekheby
Lecture notes on data engineering and communications technologies (2025), pp. 275-284
Closed Access
Evolution of Building Energy Management Systems for greater sustainability through explainable artificial intelligence models
Alfonso González‐Briones, Javier Palomino-Sánchez, Zita Vale, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110324-110324
Closed Access
Navigating the landscape of concept-supported XAI: Challenges, innovations, and future directions
Zahra Shams Khoozani, Aznul Qalid Md Sabri, Woo Chaw Seng, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 67147-67197
Open Access | Times Cited: 4
Deep reinforcement learning based interpretable photovoltaic power prediction framework
Rongquan Zhang, Siqi Bu, Min Zhou, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 67, pp. 103830-103830
Closed Access | Times Cited: 4
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing
Yu Xue, Weinan Tong, Ferrante Neri, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 3, pp. 653-667
Open Access | Times Cited: 11
Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction
Salvin S. Prasad, Ravinesh C. Deo, Sancho Salcedo‐Sanz, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 241, pp. 107737-107737
Open Access | Times Cited: 10
Deep learning uncertainty quantification for ultrasonic damage identification in composite structures
Houyu Lu, Sergio Cantero‐Chinchilla, Xin Yang, et al.
Composite Structures (2024) Vol. 338, pp. 118087-118087
Closed Access | Times Cited: 3
Novel Feature-Based Difficulty Prediction Method for Mathematics Items Using XGBoost-Based SHAP Model
Xifan Yi, Jianing Sun, Xiaopeng Wu
Mathematics (2024) Vol. 12, Iss. 10, pp. 1455-1455
Open Access | Times Cited: 3
Cluster-CAM: Cluster-weighted visual interpretation of CNNs’ decision in image classification
Zhenpeng Feng, Hongbing Ji, Miloš Daković, et al.
Neural Networks (2024) Vol. 178, pp. 106473-106473
Open Access | Times Cited: 3
Interpretability of deep neural networks: A review of methods, classification and hardware
Thanasis Antamis, Anastasis Drosou, Thanasis Vafeiadis, et al.
Neurocomputing (2024) Vol. 601, pp. 128204-128204
Closed Access | Times Cited: 3
Principles of artificial intelligence in radiooncology
Yixing Huang, Ahmed M. Gomaa, Daniel Höfler, et al.
Strahlentherapie und Onkologie (2024)
Open Access | Times Cited: 3
Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand?
Frank van Mourik, Annemarie Jutte, Stijn E. Berendse, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1997-2017
Open Access | Times Cited: 3
A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 4, pp. 850-850
Open Access | Times Cited: 8
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