Zhenan He

1.7k total citations · 1 hit paper
48 papers, 1.3k citations indexed

About

Zhenan He is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhenan He has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhenan He's work include Advanced Multi-Objective Optimization Algorithms (23 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Evolutionary Algorithms and Applications (14 papers). Zhenan He is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (23 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Evolutionary Algorithms and Applications (14 papers). Zhenan He collaborates with scholars based in China, United States and United Kingdom. Zhenan He's co-authors include Gary G. Yen, Jun Zhang, Jiancheng Lv, Yi Zhang, Chenwei Tang, Jinliang Ding, Kai Zhang, Yunxia Li, Dongdong Chen and Guangjin Wang and has published in prestigious journals such as Pattern Recognition, Information Sciences and Medicine.

In The Last Decade

Zhenan He

43 papers receiving 1.3k citations

Hit Papers

Fuzzy-Based Pareto Optimality for Many-Objective Evolutio... 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms
    2013 288 citations Zhenan He, Gary G. Yen et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhenan He China 14 802 787 239 127 103 48 1.3k
Mayank Kumar Goyal India 9 745 0.9× 752 1.0× 144 0.6× 133 1.0× 73 0.7× 38 1.3k
Jianchao Zeng China 13 1.0k 1.3× 957 1.2× 167 0.7× 84 0.7× 67 0.7× 50 1.4k
Zhengping Liang China 19 994 1.2× 832 1.1× 106 0.4× 100 0.8× 137 1.3× 48 1.4k
Karthik Sindhya Finland 17 914 1.1× 1.1k 1.4× 298 1.2× 154 1.2× 103 1.0× 23 1.6k
Yutao Qi China 22 1.3k 1.6× 1.3k 1.7× 242 1.0× 138 1.1× 177 1.7× 55 2.0k
Xinye Cai China 23 1.5k 1.8× 1.5k 1.9× 247 1.0× 208 1.6× 211 2.0× 59 2.2k
Kangjia Qiao China 19 1.2k 1.5× 996 1.3× 86 0.4× 186 1.5× 128 1.2× 52 1.7k
Changhe Li China 19 1.3k 1.6× 984 1.3× 96 0.4× 194 1.5× 155 1.5× 67 1.8k

Countries citing papers authored by Zhenan He

Since Specialization
Citations

This map shows the geographic impact of Zhenan He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhenan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenan He more than expected).

Fields of papers citing papers by Zhenan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhenan He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhenan He. The network helps show where Zhenan He may publish in the future.

Co-authorship network of co-authors of Zhenan He

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenan He. A scholar is included among the top collaborators of Zhenan He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenan He. Zhenan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Shudong, Wentao Feng, Chenwei Tang, et al.. (2025). Partial Differential Equations Meet Deep Neural Networks: A Survey. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 13649–13669. 7 indexed citations
2.
Wang, Meilin, Gang Zhang, Weili Peng, et al.. (2025). A novel framework for enhancing postpartum hemorrhage prediction: Balanced data preprocessing meets neural network modeling. Biomedical Signal Processing and Control. 110. 108073–108073.
3.
Liu, Lei, Gary G. Yen, & Zhenan He. (2024). EvolutionViT: Multi-objective evolutionary vision transformer pruning under resource constraints. Information Sciences. 689. 121406–121406. 3 indexed citations
4.
5.
Feng, Wentao, Xiao Rong, Lihuo He, et al.. (2024). Improving generalized zero-shot learning via cluster-based semantic disentangling representation. Pattern Recognition. 150. 110320–110320. 4 indexed citations
6.
Tang, Chenwei, Jialiang Huang, Fan Yang, et al.. (2024). Attention-based early warning framework for abnormal operating conditions in fluid catalytic cracking units. Applied Soft Computing. 153. 111275–111275. 2 indexed citations
7.
Zhang, Hai, et al.. (2024). Simple Semantic-Aided Few-Shot Learning. 28588–28597. 13 indexed citations
8.
9.
Li, Chenyang, Gary G. Yen, & Zhenan He. (2024). Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation. 29(4). 1112–1126. 4 indexed citations
10.
He, Zhenan, et al.. (2023). Intelligent pest trap monitoring under uncertainty in food industry. Swarm and Evolutionary Computation. 86. 101465–101465. 1 indexed citations
11.
He, Zhenan, et al.. (2023). The applications of hybrid approach combining exact method and evolutionary algorithm in combinatorial optimization. Journal of Computational Design and Engineering. 10(3). 934–946. 6 indexed citations
12.
Wang, Guangjin, et al.. (2022). Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment. IEEE Transactions on Industrial Informatics. 19(3). 2574–2584. 20 indexed citations
13.
Tang, Chenwei, Zhenan He, Yunxia Li, & Jiancheng Lv. (2021). Zero-Shot Learning via Structure-Aligned Generative Adversarial Network. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6749–6762. 26 indexed citations
14.
Qiu, Shi, et al.. (2020). Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems. BioMed Research International. 2020(1). 6619076–6619076. 9 indexed citations
15.
He, Zhenan, et al.. (2020). An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting. IEEE Transactions on Systems Man and Cybernetics Systems. 52(1). 415–425. 3 indexed citations
16.
He, Zhenan & Gary G. Yen. (2015). Visualization and Performance Metric in Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 20(3). 386–402. 113 indexed citations
17.
18.
Yen, Gary G. & Zhenan He. (2013). Performance Metric Ensemble for Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 18(1). 131–144. 154 indexed citations
19.
He, Zhenan & Gary G. Yen. (2013). Ranking many-objective Evolutionary Algorithms using performance metrics ensemble. 7. 2480–2487. 11 indexed citations
20.
He, Zhenan. (2011). FNN-Based Vendor Selection in Service-oriented Manufacturing Enterprises. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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