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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:

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz-Rodríguez
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 1, pp. 59-71
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
Ibomoiye Domor Mienye, Nobert Jere
Information (2024) Vol. 15, Iss. 7, pp. 394-394
Open Access | Times Cited: 19
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 15
A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration
Mohammed Achite, Hamid Nasiri, Okan Mert Katipoğlu, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access | Times Cited: 2
Resource Allocation for Integrated Sensing and Communication in Digital Twin Enabled Internet of Vehicles
Yu Gong, Yifei Wei, Zhiyong Feng, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 72, Iss. 4, pp. 4510-4524
Closed Access | Times Cited: 44
Investigating the spatial–temporal changes of flood events across the Yangtze River Basin, China: Identification, spatial heterogeneity, and dominant impact factors
Jiarui Yu, Lei Zou, Jun Xia, et al.
Journal of Hydrology (2023) Vol. 621, pp. 129503-129503
Closed Access | Times Cited: 26
Shapley value: from cooperative game to explainable artificial intelligence
Meng Li, Hengyang Sun, Yanjun Huang, et al.
Autonomous Intelligent Systems (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 13
A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications
Islam Uddin, Hamid Hussain Awan, Majdi Khalid, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Machine Learning-Based Models with High Accuracy and Broad Applicability Domains for Screening PMT/vPvM Substances
Qiming Zhao, Yang Yu, Yuchen Gao, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 24, pp. 17880-17889
Closed Access | Times Cited: 29
Explainability in Deep Reinforcement Learning: A Review into Current Methods and Applications
Thomas Hickling, Abdelhafid Zenati, Nabil Aouf, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-35
Open Access | Times Cited: 19
Fault diagnosis of rolling bearings under variable conditions based on unsupervised domain adaptation method
Jian-Hua Zhong, Cong Lin, Yang Gao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111430-111430
Closed Access | Times Cited: 7
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier]
Jingliang Duan, Yangang Ren, Fawang Zhang, et al.
IEEE Computational Intelligence Magazine (2024) Vol. 19, Iss. 2, pp. 96-112
Closed Access | Times Cited: 4
MARCS: A Mobile Crowdsensing Framework Based on Data Shapley Value Enabled Multi-Agent Deep Reinforcement Learning
Yiqin Wang, Yufeng Wang, Jianhua Ma, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2025), pp. 1-10
Open Access
Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy
Jie Zhang, Yingli Niu, Wei He, et al.
Lecture notes in computer science (2025), pp. 291-300
Closed Access
Remaining useful life prediction of rolling bearing based on multi-region hypergraph self-attention network
Jianhua Zhong, Haifeng Jiang, Kairong Gu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112331-112331
Closed Access
Identification of maize seed vigor under different accelerated aging times using hyperspectral imaging and spectral deep features
Hongfei Zhu, Ranbing Yang, Miaomiao Lu, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109980-109980
Closed Access
Federated learning based on dynamic hierarchical game incentives in Industrial Internet of Things
Y. A. Tang, Lina Ni, Jufeng Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103214-103214
Closed Access
Intelligent games meeting with multi-agent deep reinforcement learning: a comprehensive review
Yiqin Wang, Yufeng Wang, Feng Tian, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Deep-ProBind: binding protein prediction with transformer-based deep learning model
Salman Khan, Sumaiya Noor, Hamid Hussain Awan, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Discovering Influencers in Opinion Formation Over Social Graphs
Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, et al.
IEEE Open Journal of Signal Processing (2023) Vol. 4, pp. 188-207
Open Access | Times Cited: 9
Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations
Sai Ram Aditya Parisineni, Mayukha Pal
International Journal of Data Science and Analytics (2023) Vol. 18, Iss. 4, pp. 457-466
Closed Access | Times Cited: 9
EXPLORA: AI/ML EXPLainability for the Open RAN
Claudio Fiandrino, Leonardo Bonati, Salvatore D’Oro, et al.
Proceedings of the ACM on Networking (2023) Vol. 1, Iss. CoNEXT3, pp. 1-26
Open Access | Times Cited: 9
POPs identification using simple low-code machine learning
Xin Lei, Haiying Yu, Sisi Liu, et al.
The Science of The Total Environment (2024) Vol. 921, pp. 171143-171143
Closed Access | Times Cited: 3
AI readiness enablers in developed and developing economies: Findings from the XGBoost regression and explainable AI framework
Paritosh Pramanik, Rabin K. Jana, Indranil Ghosh
Technological Forecasting and Social Change (2024) Vol. 205, pp. 123482-123482
Closed Access | Times Cited: 3
Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges
Ziyuan Zhou, Guanjun Liu, Ying Tang
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-23
Closed Access | Times Cited: 2
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
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