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:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification
Ying Bi, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2022) Vol. 28, Iss. 2, pp. 307-322
Open Access | Times Cited: 14
Ying Bi, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2022) Vol. 28, Iss. 2, pp. 307-322
Open Access | Times Cited: 14
Showing 14 citing articles:
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: 58
Nan Li, Lianbo Ma, Guo Yu, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-34
Open Access | Times Cited: 58
Multi-objective genetic programming based on decomposition for feature learning in image classification
T Zhang, Ying Bi, Jing Liang, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101875-101875
Closed Access
T Zhang, Ying Bi, Jing Liang, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101875-101875
Closed Access
Toward Evolving Dispatching Rules With Flow Control Operations by Grammar-Guided Linear Genetic Programming
Zhixing Huang, Yi Mei, Fangfang Zhang, et al.
IEEE Transactions on Evolutionary Computation (2024) Vol. 29, Iss. 1, pp. 217-231
Closed Access | Times Cited: 2
Zhixing Huang, Yi Mei, Fangfang Zhang, et al.
IEEE Transactions on Evolutionary Computation (2024) Vol. 29, Iss. 1, pp. 217-231
Closed Access | Times Cited: 2
An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth
Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O′Nils
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access | Times Cited: 1
Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O′Nils
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access | Times Cited: 1
Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling
Zhixing Huang, Yi Mei, Fangfang Zhang, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023)
Closed Access | Times Cited: 3
Zhixing Huang, Yi Mei, Fangfang Zhang, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023)
Closed Access | Times Cited: 3
Recognizing Core Knowledge From Domain Knowledge Network for Platform-Based Business Development
Poly Z. H. Sun, Hongwei Jiang, Chengjun Wang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6125-6134
Closed Access
Poly Z. H. Sun, Hongwei Jiang, Chengjun Wang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6125-6134
Closed Access
Multi-Objective Genetic Programming Based on Decomposition for Feature Learning in Image Classification
Tuo Zhang, Ying Bi, Jing Liang, et al.
(2024)
Closed Access
Tuo Zhang, Ying Bi, Jing Liang, et al.
(2024)
Closed Access
A genetic programming approach with adaptive region detection to skin cancer image classification
Kunjie Yu, Jintao Lian, Ying Bi, et al.
Journal of Automation and Intelligence (2024) Vol. 3, Iss. 4, pp. 240-249
Open Access
Kunjie Yu, Jintao Lian, Ying Bi, et al.
Journal of Automation and Intelligence (2024) Vol. 3, Iss. 4, pp. 240-249
Open Access
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification
T Zhang, Ying Bi, Jing Liang, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 555-558
Closed Access
T Zhang, Ying Bi, Jing Liang, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 555-558
Closed Access
Feature Optimization and Dropout in Genetic Programming for Data-Limited Image Classification
Chan Min Lee, Chang Wook Ahn, Man-Je Kim
Mathematics (2024) Vol. 12, Iss. 23, pp. 3661-3661
Open Access
Chan Min Lee, Chang Wook Ahn, Man-Je Kim
Mathematics (2024) Vol. 12, Iss. 23, pp. 3661-3661
Open Access
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1194-1202
Open Access
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1194-1202
Open Access
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition
Mengjie Zhang, Stefano Cagnoni
(2023), pp. 1533-1561
Closed Access
Mengjie Zhang, Stefano Cagnoni
(2023), pp. 1533-1561
Closed Access
Evolutionary Supervised Machine Learning
Risto Miikkulainen
Genetic and evolutionary computation (2023), pp. 29-57
Closed Access
Risto Miikkulainen
Genetic and evolutionary computation (2023), pp. 29-57
Closed Access
Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming
Mingqian Lin, Lin Shang, Xiaoying Gao
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 371-378
Closed Access
Mingqian Lin, Lin Shang, Xiaoying Gao
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 371-378
Closed Access
