Bo Wei

1.4k total citations
45 papers, 1.0k citations indexed

About

Bo Wei is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bo Wei has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bo Wei's work include Metaheuristic Optimization Algorithms Research (21 papers), Evolutionary Algorithms and Applications (14 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). Bo Wei is often cited by papers focused on Metaheuristic Optimization Algorithms Research (21 papers), Evolutionary Algorithms and Applications (14 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). Bo Wei collaborates with scholars based in China, United Kingdom and United States. Bo Wei's co-authors include Xuewen Xia, Ling Gui, Fei Yu, Hongrun Wu, Guoliang He, Yinglong Zhang, Yinglong Zhang, Zhi‐Hui Zhan, Xing Xu and Ying Xing and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Bo Wei

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bo Wei China	15	674	377	144	116	98	45	1.0k
Nabil Neggaz Algeria	14	590 0.9×	201 0.5×	79 0.5×	205 1.8×	107 1.1×	24	971
Qingxin Liu China	14	450 0.7×	224 0.6×	67 0.5×	128 1.1×	56 0.6×	35	715
Antonio Della Cioppa Italy	19	704 1.0×	300 0.8×	73 0.5×	161 1.4×	61 0.6×	78	1.2k
Dawei Zhan China	11	304 0.5×	371 1.0×	81 0.6×	76 0.7×	47 0.5×	21	854
Priyanka Anand India	14	747 1.1×	249 0.7×	158 1.1×	192 1.7×	93 0.9×	37	1.2k
Xiaoxu Peng China	12	555 0.8×	221 0.6×	71 0.5×	297 2.6×	54 0.6×	16	941
Zeinab Montazeri Iran	16	641 1.0×	306 0.8×	159 1.1×	107 0.9×	60 0.6×	18	1.1k
Seyed Hamid Zahiri Iran	17	416 0.6×	145 0.4×	106 0.7×	119 1.0×	86 0.9×	81	865
Yiying Zhang China	16	686 1.0×	263 0.7×	158 1.1×	107 0.9×	40 0.4×	23	1.1k
Ravi Kumar Jatoth India	14	441 0.7×	143 0.4×	329 2.3×	152 1.3×	53 0.5×	63	947

Countries citing papers authored by Bo Wei

Since Specialization

Citations

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

Fields of papers citing papers by Bo Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Wei

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

All Works

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

20 of 20 papers shown

Li, Zepeng, et al.. (2025). Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion. ACS Omega. 10(2). 2020–2032. 2 indexed citations

Wei, Bo, et al.. (2025). Particle swarm optimization algorithm based on comprehensive scoring framework for high-dimensional feature selection. Swarm and Evolutionary Computation. 95. 101915–101915. 1 indexed citations

Deng, Li, Xiaohui Su, & Bo Wei. (2025). A self-adjusting representation-based multitask PSO for high-dimensional feature selection. Swarm and Evolutionary Computation. 98. 102084–102084.

Wei, Bo, et al.. (2025). Reinforcement learning-based particle swarm optimization with adaptive scoring mechanism for high-dimensional feature selection. Swarm and Evolutionary Computation. 98. 102104–102104.

Deng, Li, et al.. (2025). AD-DES: An adaptive dual dynamic ensemble selection for imbalanced data streams. Electronic Research Archive. 33(11). 6577–6609.

Deng, Li, et al.. (2024). Imbalanced Data Classification Based on Improved Random-SMOTE and Feature Standard Deviation. Mathematics. 12(11). 1709–1709. 10 indexed citations

Wei, Bo, et al.. (2024). Adaptive bagging-based dynamic ensemble selection in nonstationary environments. Expert Systems with Applications. 255. 124860–124860. 4 indexed citations

Xiao, Jin, et al.. (2024). An adaptive pyramid PSO for high-dimensional feature selection. Expert Systems with Applications. 257. 125084–125084. 12 indexed citations

Yang, Ying, et al.. (2024). Exercise-Induced Central Fatigue: Biomarkers, and Non-Medicinal Interventions. Aging and Disease. 16(3). 0–0. 4 indexed citations

10.

Yang, Shanshan, Bo Wei, Li Deng, et al.. (2024). A leader-adaptive particle swarm optimization with dimensionality reduction strategy for feature selection. Swarm and Evolutionary Computation. 91. 101743–101743. 7 indexed citations

11.

Wang, Chuan, Mingfeng Jiang, Yang Li, et al.. (2024). MP-FocalUNet: Multiscale parallel focal self-attention U-Net for medical image segmentation. Computer Methods and Programs in Biomedicine. 260. 108562–108562. 1 indexed citations

12.

Wang, Yingying, et al.. (2023). Forecast of Fossil Fuel Demand Based On Low Carbon Emissions from the Perspective of Energy Security. Chemistry and Technology of Fuels and Oils. 58(6). 1075–1082. 6 indexed citations

13.

Jiang, Mingfeng, Yang Li, Bo Wei, et al.. (2023). MLC: Multi-level consistency learning for semi-supervised left atrium segmentation. Expert Systems with Applications. 244. 122903–122903. 4 indexed citations

14.

Wei, Bo, et al.. (2022). A Dynamic Multi-Swarm Particle Swarm Optimization With Global Detection Mechanism. International Journal of Cognitive Informatics and Natural Intelligence. 15(4). 1–23. 1 indexed citations

15.

Jiang, Mingfeng, Yang Li, Bo Wei, et al.. (2021). HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification. Frontiers in Physiology. 12. 683025–683025. 17 indexed citations

16.

Wei, Bo, Ying Xing, Xuewen Xia, & Ling Gui. (2021). A Novel Particle Swarm Optimization With Genetic Operator and Its Application to TSP. International Journal of Cognitive Informatics and Natural Intelligence. 15(4). 1–17. 9 indexed citations

17.

Xu, Ying, et al.. (2020). An Optimal Torque Distribution Strategy for Four-Motorized-Wheel Electric Vehicle Considering Energy Conversation. IEEE Access. 8. 135975–135988. 9 indexed citations

18.

Xia, Xuewen, Ling Gui, Yinglong Zhang, et al.. (2020). A fitness-based adaptive differential evolution algorithm. Information Sciences. 549. 116–141. 76 indexed citations

19.

Xia, Xuewen, et al.. (2019). Dynamic Multi-Swarm Particle Swarm Optimization Based on Elite Learning. IEEE Access. 7. 184849–184865. 14 indexed citations

20.

Gui, Ling, Xuewen Xia, Fei Yu, et al.. (2019). A multi-role based differential evolution. Swarm and Evolutionary Computation. 50. 100508–100508. 47 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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