Fei Han

2.0k citations

69 papers · 1.4k · h-index 21

Impact in

Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Machine Learning and ELM
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
Computational Theory and Mathematics top 2%
- Advanced Multi-Objective Optimization Algorithms

Papers in

Artificial Intelligence 61
- Metaheuristic Optimization Algorithms Research 37
- Machine Learning and ELM 22
- Neural Networks and Applications 20
- Evolutionary Algorithms and Applications 14
Computational Theory and Mathematics 25
- Advanced Multi-Objective Optimization Algorithms 25

Co-authors: Qing-Hua Ling (41 shared papers)De-Shuang Huang (8 shared papers)Henry Han (15 shared papers)Jing Jiang (10 shared papers)Arfan Ali Nagra (4 shared papers)Qing Liu (1 shared paper)Benyue Su (3 shared papers)Qing Ling (2 shared papers)
Journals: Neurocomputing (6 papers)Swarm and Evolutionary Computation (4 papers)Connection Science (4 papers)Applied Intelligence (4 papers)Neural Computing and Applications (3 papers)
Partner nations: China United States Ghana

In The Last Decade

Fei Han

59 papers receiving 1.3k citations

Peers

Replace Claudia I. González with:

Claudia I. González Mexico

Jie Hu China

Sharif Naser Makhadmeh Jordan

Xiao Zhang China

Gehad Ismail Sayed Egypt

Qing-Hua Ling China

Fangjun Kuang China

Mehreen Saeed Pakistan

Wenhua Zeng China

Fei Han relative to Claudia I. González Mexico Claudia I. González's profile →

Citations per field

00.5×2×3×3.9×

Claudia I. González · 1×

×1.4 880/650

AI

×1.8 273/156

CTM

×0.9 305/350

CVPR

×1.8 7/4

CM

×0.9 171/196

CSE

Citations per year

'16

'17

'18

'19

'20

'21

'22

'23

'24

'25

'26

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-authors

The 25 scholars most cited alongside Fei Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Han Line = papers co-authored together Fei Han links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	An improved evolutionary extreme learning machine based on particle swarm optimization Neurocomputing ·Fei Han, Hai-Fen Yao, Qing-Hua Ling	2012	191
2	Multi-objective particle swarm optimization with adaptive strategies for feature selection Swarm and Evolutionary Computation ·Fei Han, Wen-Tao Chen, Qing-Hua Ling, Henry Han	2021	129
3	Improved extreme learning machine for function approximation by encoding a priori information Neurocomputing ·Fei Han, De-Shuang Huang	2006	101
4	A survey on metaheuristic optimization for random single-hidden layer feedforward neural network Neurocomputing ·Fei Han, Jing Jiang, Qing-Hua Ling, Benyue Su	2018	70
5	An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization IEEE Access ·Arfan Ali Nagra, Fei Han, Qing-Hua Ling, Sumet Mehta	2019	60
6	An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks Neural Computing and Applications ·Fei Han, Qing-Hua Ling, De-Shuang Huang	2009	57
7	Efficient network architecture search via multiobjective particle swarm optimization based on decomposition Neural Networks ·Jing Jiang, Fei Han, Qing-Hua Ling, Jie Wang, Tiange Li, Henry Han	2019	55
8	A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Fei Han, Chun Yang, Yaqi Wu, Jiansheng Zhu, Qing-Hua Ling, Yuqing Song, De-Shuang Huang	2015	55
9	Modified constrained learning algorithms incorporating additional functional constraints into neural networks Information Sciences ·Fei Han, Qing-Hua Ling, De-Shuang Huang	2007	53
10	A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks Neural Computing and Applications ·Fei Han, De-Shuang Huang	2007	52
11	An improved hybrid self-inertia weight adaptive particle swarm optimization algorithm with local search Engineering Optimization ·Arfan Ali Nagra, Fei Han, Qing Ling	2018	42
12	A diversity-guided hybrid particle swarm optimization based on gradient search Neurocomputing ·Fei Han, Qing Liu	2014	38
13	An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization Neurocomputing ·Fei Han, Min-Ru Zhao, Jianming Zhang, Qing-Hua Ling	2016	36
14	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 ·Qing Liu, Franck Davoine, Jian Yang, Ying Cui, Zhong Jin, Fei Han	2018	32
15	Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems Connection Science ·Arfan Ali Nagra, Fei Han, Qing Ling, Muhammad Abubaker, Farooq Ahmad, Sumet Mehta, Abeo Timothy Apasiba	2019	29
16	A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems Swarm and Evolutionary Computation ·Jing Jiang, Fei Han, Jie Wang, Qing-Hua Ling, Henry Han, Yue Wang	2022	28
17	An efficient gene selection method for microarray data based on LASSO and BPSO BMC Bioinformatics ·Ying Xiong, Qing-Hua Ling, Fei Han, Qinghua Liu	2019	27
18	Improved Particle Swarm Optimization Combined with Backpropagation for Feedforward Neural Networks International Journal of Intelligent Systems ·Fei Han, Jiansheng Zhu	2012	23
19	A Novel Strategy for Gene Selection of Microarray Data Based on Gene-to-Class Sensitivity Information PLoS ONE ·Fei Han, Wei Sun, Qing-Hua Ling	2014	21
20	A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism IEEE Access ·Tianhua Guan, Fei Han, Henry Han	2019	21

About Fei Han

Fei Han is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), Machine Learning and ELM (22 papers), Advanced Algorithms and Applications (20 papers), Neural Networks and Applications (20 papers), Evolutionary Algorithms and Applications (14 papers), Face and Expression Recognition (9 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Artificial Intelligence (880 citations), Computational Theory and Mathematics (273 citations), Computer Vision and Pattern Recognition (305 citations), Computational Mathematics (7 citations) and Control and Systems Engineering (171 citations). Fei Han has collaborated with scholars based in China, United States and Ghana. Frequent 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. Their work appears in journals such as Neurocomputing, Swarm and Evolutionary Computation, Connection Science, Applied Intelligence and Neural Computing and Applications.

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.

Explore authors with similar magnitude of impact

Fei Han

Impact in

Papers in i

In The Last Decade

Fei Han

Peers

Countries citing papers authored by Fei Han

Fields of papers citing papers by Fei Han

All Works

About Fei Han

Explore authors with similar magnitude of impact

Papers in