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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 deep learning: A survey
Zhi‐Hui Zhan, Jian-Yu Li, Jun Zhang
Neurocomputing (2022) Vol. 483, pp. 42-58
Closed Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 349
Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 114
A Review on Deep Learning Techniques for IoT Data
Kuruva Lakshmanna, Rajesh Kaluri, Nagaraja Gundluru, et al.
Electronics (2022) Vol. 11, Iss. 10, pp. 1604-1604
Open Access | Times Cited: 105
Distributed Differential Evolution With Adaptive Resource Allocation
Jian-Yu Li, Ke-Jing Du, Zhi‐Hui Zhan, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 5, pp. 2791-2804
Closed Access | Times Cited: 73
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues
Nan Li, Lianbo Ma, Guo Yu, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-34
Open Access | Times Cited: 67
A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108789-108789
Closed Access | Times Cited: 59
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 53
Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System
Min Gao, Jian-Yu Li, Chunhua Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10281-10294
Closed Access | Times Cited: 49
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 20
DEPHIDES: Deep Learning Based Phishing Detection System
Özgür Koray Şahingöz, Ebubekir Buber, Emin Kugu
IEEE Access (2024) Vol. 12, pp. 8052-8070
Open Access | Times Cited: 16
Quantum Behaved Particle Swarm Optimization-Based Deep Transfer Learning Model for Sugarcane Leaf Disease Detection and Classification
T. Tamilvizhi, R Surendran, K. Anbazhagan, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 66
Learning-Aided Evolution for Optimization
Zhi‐Hui Zhan, Jian-Yu Li, Sam Kwong, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1794-1808
Open Access | Times Cited: 59
Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization
Zijia Wang, Jun-Rong Jian, Zhi‐Hui Zhan, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 964-979
Open Access | Times Cited: 57
A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems
Weizhong Wang, Hai‐Lin Liu, Kay Chen Tan
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 4, pp. 2685-2697
Closed Access | Times Cited: 55
A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics
Jian-Yu Li, Xinyi Deng, Zhi‐Hui Zhan, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 25062-25076
Open Access | Times Cited: 53
A reinforcement learning-based energy management strategy for fuel cell hybrid vehicle considering real-time velocity prediction
Duo Yang, Li Wang, Kunjie Yu, et al.
Energy Conversion and Management (2022) Vol. 274, pp. 116453-116453
Closed Access | Times Cited: 49
A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization
Yi Jiang, Zhi‐Hui Zhan, Kay Chen Tan, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1514-1528
Open Access | Times Cited: 39
Block-Level Knowledge Transfer for Evolutionary Multitask Optimization
Yi Jiang, Zhi‐Hui Zhan, Kay Chen Tan, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 1, pp. 558-571
Open Access | Times Cited: 35
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
Imran Zafar, Shakila Anwar, Faheem kanwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105263-105263
Closed Access | Times Cited: 33
Prediction of transportation energy demand in Türkiye using stacking ensemble models: Methodology and comparative analysis
Julian Hoxha, Muhammed Yasin Çodur, Enea Mustafaraj, et al.
Applied Energy (2023) Vol. 350, pp. 121765-121765
Open Access | Times Cited: 30
Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 28
Knowledge Learning for Evolutionary Computation
Yi Jiang, Zhi‐Hui Zhan, Kay Chen Tan, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 29, Iss. 1, pp. 16-30
Open Access | Times Cited: 27
Fitness and Distance Based Local Search With Adaptive Differential Evolution for Multimodal Optimization Problems
Zijia Wang, Zhi‐Hui Zhan, Yun Li, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 3, pp. 684-699
Closed Access | Times Cited: 24
Neural Networks and Deep Learning
Amin Hashemi, Mohammad Bagher Dowlatshahi
(2024), pp. 557-576
Closed Access | Times Cited: 12
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
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