Fei Han

2.0k total citations
69 papers, 1.4k citations indexed

About

Fei Han is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Fei Han has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 25 papers in Computational Theory and Mathematics and 21 papers in Control and Systems Engineering. Recurrent topics in Fei Han's work include Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (25 papers) and Machine Learning and ELM (22 papers). Fei Han is often cited by papers focused on Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (25 papers) and Machine Learning and ELM (22 papers). Fei Han collaborates with scholars based in China, United States and Ghana. Fei Han's co-authors include Qing-Hua Ling, De-Shuang Huang, Henry Han, Jing Jiang, Arfan Ali Nagra, Qing Liu, Benyue Su, Qing Ling, Jie Wang and Yuqing Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Fei Han

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Han China	21	880	305	273	185	171	69	1.4k
Qing-Hua Ling China	16	686 0.8×	244 0.8×	228 0.8×	141 0.8×	113 0.7×	51	1.1k
Gehad Ismail Sayed Egypt	15	1.1k 1.2×	290 1.0×	361 1.3×	194 1.0×	154 0.9×	38	1.6k
Junhai Zhai China	20	943 1.1×	331 1.1×	234 0.9×	203 1.1×	131 0.8×	98	1.4k
Ke Chen China	25	1.2k 1.4×	249 0.8×	656 2.4×	263 1.4×	311 1.8×	92	2.3k
Julien Lepagnot France	9	679 0.8×	184 0.6×	387 1.4×	175 0.9×	158 0.9×	36	1.4k
Mohammad Bagher Dowlatshahi Iran	23	1.1k 1.3×	591 1.9×	311 1.1×	95 0.5×	77 0.5×	53	1.7k
Priyanka Anand India	14	747 0.8×	192 0.6×	249 0.9×	259 1.4×	158 0.9×	37	1.2k
Tansel Dökeroğlu Türkiye	18	832 0.9×	238 0.8×	311 1.1×	131 0.7×	123 0.7×	44	1.6k

Countries citing papers authored by Fei Han

Since Specialization

Citations

This map shows the geographic impact of Fei Han'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 Fei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Han more than expected).

Fields of papers citing papers by Fei Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Han. 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 Fei Han. The network helps show where Fei Han may publish in the future.

Co-authorship network of co-authors of Fei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Han. A scholar is included among the top collaborators of Fei Han 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 Fei Han. Fei Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Han, Fei, et al.. (2025). A denoising majority weighted minority oversampling technique for imbalanced classification. Expert Systems with Applications. 288. 128199–128199. 1 indexed citations

Han, Fei, et al.. (2025). A multi-objective evolutionary algorithm based on a grid with adaptive divisions for multi-objective optimization with irregular Pareto fronts. Applied Soft Computing. 176. 113106–113106.

Jiang, Jing, et al.. (2025). Dynamic Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 10(1). 689–704.

Han, Fei, et al.. (2025). Constraint-Pareto Dominance and Diversity Enhancement Strategy-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation. 29(6). 2771–2784. 5 indexed citations

Han, Fei, et al.. (2025). MORPSO_ECD+ELM: A Unified Framework for Gene Selection and Cancer Classification. IEEE Journal of Biomedical and Health Informatics. 29(6). 4571–4584. 1 indexed citations

Jiang, Jing, et al.. (2025). A heterogeneous sparsity knowledge guided evolutionary algorithm for sparse large-scale multiobjective optimization. Swarm and Evolutionary Computation. 96. 102000–102000. 1 indexed citations

Ling, Qing-Hua, et al.. (2025). Feature selection based on multimodal multi-objective particle swarm optimization and prior information. Pattern Analysis and Applications. 28(4).

Han, Fei, et al.. (2023). A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection. Applied Intelligence. 53(17). 20535–20560. 13 indexed citations

Han, Fei, et al.. (2021). Multi-objective particle swarm optimization with adaptive strategies for feature selection. Swarm and Evolutionary Computation. 62. 100847–100847. 129 indexed citations

10.

Zhu, Mingjie & Fei Han. (2021). Multi-objective Particle Swarm Optimization based on Space Decomposition for Feature Selection. 387–391.

11.

Jiang, Jing, Fei Han, Jie Wang, et al.. (2021). Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search. Information Sciences. 576. 557–576. 13 indexed citations

12.

Han, Fei, et al.. (2019). A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization. BMC Bioinformatics. 20(S8). 289–289. 10 indexed citations

13.

Xiong, Ying, Qing-Hua Ling, Fei Han, & Qinghua Liu. (2019). An efficient gene selection method for microarray data based on LASSO and BPSO. BMC Bioinformatics. 20(S22). 715–715. 27 indexed citations

14.

Davoine, Franck, et al.. (2018). A Fast and Accurate Matrix Completion Method Based on QR Decomposition and <inline-formula> <tex-math notation="LaTeX">$L_{2,1}$ </tex-math> </inline-formula>-Norm Minimization. IEEE Transactions on Neural Networks and Learning Systems. 30(3). 803–817. 32 indexed citations

15.

Ling, Qing-Hua, Yuqing Song, Fei Han, Dan Yang, & De-Shuang Huang. (2016). An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy. PLoS ONE. 11(11). e0165803–e0165803. 14 indexed citations

16.

Han, Fei, Wei Sun, & Qing-Hua Ling. (2014). A Novel Strategy for Gene Selection of Microarray Data Based on Gene-to-Class Sensitivity Information. PLoS ONE. 9(5). e97530–e97530. 21 indexed citations

17.

Zhan, Yongzhao, et al.. (2010). A Neural Network Pruning Method Optimized with PSO Algorithm. 7 indexed citations

18.

Ju, Shiguang, et al.. (2009). A PSO Algorithm with the Improved Diversity for Feedforward Neural Networks. 123–127. 3 indexed citations

19.

Han, Fei & Qing-Hua Ling. (2007). A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization. 1. 501–505. 2 indexed citations

20.

Han, Fei & De-Shuang Huang. (2006). Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing. 69(16-18). 2369–2373. 101 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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