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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:

Evolutionary Learning of Interpretable Decision Trees
Leonardo Lucio Custode, Giovanni Iacca
IEEE Access (2023) Vol. 11, pp. 6169-6184
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, et al.
IEEE Access (2024) Vol. 12, pp. 35796-35812
Open Access | Times Cited: 23
Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 18
Interpretability Research of Deep Learning: A Literature Survey
Biao Xu, Guanci Yang
Information Fusion (2024) Vol. 115, pp. 102721-102721
Closed Access | Times Cited: 13
Graphical representation of data prediction potential: correlation graphs and correlation chains
Adam Dudáš
The Visual Computer (2024)
Open Access | Times Cited: 9
Screening High-Performance Hybrid Halides Scintillators: A Comprehensive Analysis and Prediction Model
Maxim S. Мolokeev, Nicolay N. Golovnev, Andrey Zolotov, et al.
Chemistry of Materials (2025)
Closed Access | Times Cited: 1
Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction
Van Nhanh Nguyen, Nathan Chung, N. Balaji, et al.
Alexandria Engineering Journal (2025) Vol. 118, pp. 664-680
Closed Access | Times Cited: 1
Machine learning for polyphenol-based materials
Shengxi Jiang, Peiji Yang, Yujia Zheng, et al.
Smart Materials in Medicine (2024) Vol. 5, Iss. 2, pp. 221-239
Open Access | Times Cited: 6
Stacking ensemble learning model for predict anxiety level in university students using balancing methods
Alfredo Daza Vergaray, Antonio Arroyo-Paz, Juana Bobadilla Cornelio, et al.
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101340-101340
Open Access | Times Cited: 16
Evolutionary Reinforcement Learning with Action Sequence Search for Imperfect Information Games
Xiaoqiang Wu, Qingling Zhu, Wei‐Neng Chen, et al.
Information Sciences (2024) Vol. 676, pp. 120804-120804
Closed Access | Times Cited: 5
Leveraging Artificial Intelligence to Enhance Port Operation Efficiency
Gia Huy Dinh, Hoang Thai Pham, Lam Canh Nguyen, et al.
Polish Maritime Research (2024) Vol. 31, Iss. 2, pp. 140-155
Open Access | Times Cited: 4
A Study of Machine Learning Dynamics: Algorithms, Applications, and Fundamental Frameworks
Shainky, Asha Ambhaikar
Lecture notes in networks and systems (2025), pp. 43-52
Closed Access
Enhancing co-pyrolysis process of biomass and coal using machine learning insights and Shapley additive explanations based on cooperative game theory
Quang Dung Le, Prabhu Paramasivam, Jasgurpreet Singh Chohan, et al.
Energy & Environment (2025)
Closed Access
Chironomidae (Diptera) from mountain lakes of the Eastern Carpathians, Romania: First records and insight into diversity
Peter Bitušík, Veronika Slobodníková, Milan Novikmec, et al.
ZooKeys (2025) Vol. 1233, pp. 107-123
Open Access
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Stefano Genetti, Alberto Longobardi, Giovanni Iacca
Lecture notes in computer science (2025), pp. 187-203
Closed Access
A Coach-Based Quality-Diversity Approach for Multi-agent Interpretable Reinforcement Learning
Erik Nielsen, Andrea Ferigo, Giovanni Iacca
Lecture notes in computer science (2025), pp. 402-418
Closed Access
Social Interpretable Reinforcement Learning
Leonardo Lucio Custode, Giovanni Iacca
Lecture notes in computer science (2025), pp. 3-19
Closed Access
An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming
Giorgia Nadizar, Luigi Rovito, Andrea De Lorenzo, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 4, Iss. 1, pp. 1-30
Closed Access | Times Cited: 3
Interpretable random forest model for identification of edge 3-uncolorable cubic graphs
Adam Dudáš, Bianka Modrovičová
Kybernetika (2024), pp. 807-826
Open Access | Times Cited: 3
Optimizing lung cancer prediction: leveraging Kernel PCA with dendritic neural models
Umair Arif, Chunxia Zhang, Muhammad Waqas Chaudhary, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-14
Closed Access | Times Cited: 3
Machine learning methods in assessing the effect of mixture composition on the physical and mechanical characteristics of road concrete
Irina G. Endzhievskaya, A. S. Endzhievskiy, Maksim A. Galkin, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107248-107248
Closed Access | Times Cited: 8
A population-based approach for multi-agent interpretable reinforcement learning
Marco Crespi, Andrea Ferigo, Leonardo Lucio Custode, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110758-110758
Open Access | Times Cited: 8
Application of Machine Learning to Fischer–Tropsch Synthesis for Cobalt Catalysts
Kirill Motaev, Maxim S. Мolokeev, Bulat Sultanov, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 48, pp. 20658-20666
Closed Access | Times Cited: 7
Towards reconciling usability and usefulness of policy explanations for sequential decision-making systems
Pradyumna Tambwekar, Matthew Gombolay
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 2
TreeC: A method to generate interpretable energy management systems using a metaheuristic algorithm
Julian Ruddick, Luis Ramirez Camargo, Muhammad Andy Putratama, et al.
Knowledge-Based Systems (2024), pp. 112756-112756
Open Access | Times Cited: 2
Experimental and explainable machine learning approach on thermal conductivity and viscosity of water based graphene oxide based mono and hybrid nanofluids
Praveen Kumar Kanti, Prabhu Paramasivam, V. Vicki Wanatasanappan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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