Shoufei Han

539 total citations
19 papers, 379 citations indexed

About

Shoufei Han is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shoufei Han has authored 19 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shoufei Han's work include Metaheuristic Optimization Algorithms Research (10 papers), Machine Learning and ELM (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Shoufei Han is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Machine Learning and ELM (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Shoufei Han collaborates with scholars based in China, United States and Macao. Shoufei Han's co-authors include Kun Zhu, MengChu Zhou, Xiaojing Liu, Xinye Cai, Xiguang Li, Changqing Gong, Liang Zhao, Abdullah Abusorrah, Xiaojing Liu and Hesham Alhumade and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Shoufei Han

16 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoufei Han China 11 229 82 74 63 56 19 379
Pei-Cheng Song China 6 136 0.6× 34 0.4× 85 1.1× 49 0.8× 73 1.3× 13 274
Murat Aslan Türkiye 9 180 0.8× 48 0.6× 42 0.6× 58 0.9× 53 0.9× 27 325
Zhenglei Wei China 9 232 1.0× 74 0.9× 52 0.7× 57 0.9× 18 0.3× 30 329
Chengtian Ouyang China 12 198 0.9× 57 0.7× 57 0.8× 38 0.6× 66 1.2× 39 434
Binping Zhao China 5 190 0.8× 79 1.0× 57 0.8× 22 0.3× 49 0.9× 6 356
Chaoda Peng China 12 217 0.9× 217 2.6× 81 1.1× 86 1.4× 67 1.2× 23 385
Nengxian Liu China 8 255 1.1× 177 2.2× 65 0.9× 29 0.5× 54 1.0× 13 374
Doaa El-Shahat Egypt 4 190 0.8× 81 1.0× 47 0.6× 19 0.3× 54 1.0× 10 347
Xiao-Zhi Gao Finland 10 173 0.8× 95 1.2× 23 0.3× 16 0.3× 23 0.4× 38 357
Moncef Tagina Tunisia 10 118 0.5× 45 0.5× 38 0.5× 15 0.2× 54 1.0× 73 329

Countries citing papers authored by Shoufei Han

Since Specialization
Citations

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

Fields of papers citing papers by Shoufei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoufei Han

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

All Works

19 of 19 papers shown
1.
Zheng, Wenjun, et al.. (2025). GT-AGCN: Integrating Global Semantics and Local Syntax for Aspect-Based Sentiment Analysis. IEEE Transactions on Computational Social Systems. 1–17.
2.
Han, Shoufei, Xiaojing Liu, MengChu Zhou, et al.. (2024). Joint Association, Deployment and Flight Trajectory Optimization for Multi-UAV-Enabled Large-Scale Mobile Edge Computing. IEEE Transactions on Mobile Computing. 23(12). 13207–13221. 7 indexed citations
3.
Han, Shoufei, et al.. (2024). Intelligent Optimization. 1 indexed citations
4.
5.
Cheng, Jiujun, et al.. (2024). An Edge Computing-Based Autonomous Vehicle Group Cooperation Model in a Highway Scene. IEEE Transactions on Vehicular Technology. 73(7). 9682–9695. 7 indexed citations
6.
Liu, Xiaojing, Xiaolin Qin, MengChu Zhou, Hao Sun, & Shoufei Han. (2023). Community-Based Dandelion Algorithm-Enabled Feature Selection and Broad Learning System for Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2508–2521. 9 indexed citations
7.
Han, Shoufei, Kun Zhu, MengChu Zhou, Hesham Alhumade, & Abdullah Abusorrah. (2022). Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9195–9209. 23 indexed citations
8.
Han, Shoufei, Kun Zhu, MengChu Zhou, & Xiaojing Liu. (2022). Joint Deployment Optimization and Flight Trajectory Planning for UAV Assisted IoT Data Collection: A Bilevel Optimization Approach. IEEE Transactions on Intelligent Transportation Systems. 23(11). 21492–21504. 57 indexed citations
9.
Han, Shoufei, Kun Zhu, MengChu Zhou, & Xiaojing Liu. (2022). Evolutionary Weighted Broad Learning and Its Application to Fault Diagnosis in Self-Organizing Cellular Networks. IEEE Transactions on Cybernetics. 53(5). 3035–3047. 28 indexed citations
10.
Han, Shoufei, Kun Zhu, MengChu Zhou, et al.. (2022). A Novel Multiobjective Fireworks Algorithm and Its Applications to Imbalanced Distance Minimization Problems. IEEE/CAA Journal of Automatica Sinica. 9(8). 1476–1489. 26 indexed citations
11.
Han, Shoufei, Kun Zhu, MengChu Zhou, & Xinye Cai. (2022). Competition-Driven Multimodal Multiobjective Optimization and Its Application to Feature Selection for Credit Card Fraud Detection. IEEE Transactions on Systems Man and Cybernetics Systems. 52(12). 7845–7857. 64 indexed citations
12.
Han, Shoufei, Kun Zhu, MengChu Zhou, & Xinye Cai. (2021). Information-Utilization-Method-Assisted Multimodal Multiobjective Optimization and Application to Credit Card Fraud Detection. IEEE Transactions on Computational Social Systems. 8(4). 856–869. 47 indexed citations
13.
Han, Shoufei, Kun Zhu, & Ran Wang. (2020). Improvement of evolution process of dandelion algorithm with extreme learning machine for global optimization problems. Expert Systems with Applications. 163. 113803–113803. 12 indexed citations
14.
Han, Shoufei, Kun Zhu, & MengChu Zhou. (2020). Competition-Driven Dandelion Algorithms With Historical Information Feedback. IEEE Transactions on Systems Man and Cybernetics Systems. 52(2). 966–979. 16 indexed citations
15.
Han, Shoufei & Kun Zhu. (2020). Fusion with distance-aware selection strategy for dandelion algorithm. Knowledge-Based Systems. 205. 106282–106282. 7 indexed citations
16.
Li, Xiguang, Shoufei Han, & Changqing Gong. (2017). Analysis and Improvement of Fireworks Algorithm. Algorithms. 10(1). 26–26. 17 indexed citations
17.
Li, Xiguang, Shoufei Han, Liang Zhao, Changqing Gong, & Xiaojing Liu. (2017). New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems. Computational Intelligence and Neuroscience. 2017. 1–13. 35 indexed citations
18.
Li, Xiguang, Shoufei Han, Liang Zhao, Changqing Gong, & Xiaojing Liu. (2017). Adaptive Mutation Dynamic Search Fireworks Algorithm. Algorithms. 10(2). 48–48. 7 indexed citations
19.
Gong, Changqing, Shoufei Han, Xiguang Li, Liang Zhao, & Xiaojing Liu. (2017). A new dandelion algorithm and optimization for extreme learning machine. Journal of Experimental & Theoretical Artificial Intelligence. 30(1). 39–52. 16 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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