Handing Wang

6.2k total citations · 5 hit papers
112 papers, 4.4k citations indexed

About

Handing Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Handing Wang has authored 112 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 70 papers in Computational Theory and Mathematics and 18 papers in Management Science and Operations Research. Recurrent topics in Handing Wang's work include Advanced Multi-Objective Optimization Algorithms (70 papers), Metaheuristic Optimization Algorithms Research (63 papers) and Evolutionary Algorithms and Applications (33 papers). Handing Wang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (70 papers), Metaheuristic Optimization Algorithms Research (63 papers) and Evolutionary Algorithms and Applications (33 papers). Handing Wang collaborates with scholars based in China, United Kingdom and Germany. Handing Wang's co-authors include Yaochu Jin, Xin Yao, Licheng Jiao, John Doherty, Cheng He, Kaisa Miettinen, Dan Guo, Tinkle Chugh, Ye Tian and Xingyi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

In The Last Decade

Handing Wang

104 papers receiving 4.3k citations

Hit Papers

Data-Driven Evolutionary Optimization: An Overview and Ca... 2014 2026 2018 2022 2018 2014 2017 2018 2021 100 200 300 400
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. Data-Driven Evolutionary Optimization: An Overview and Case Studies
    2018 457 citations Yaochu Jin, Handing Wang et al. IEEE Transactions on Evolutionary Computation profile →
  2. Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization
    2014 451 citations Handing Wang et al. IEEE Transactions on Evolutionary Computation profile →
  3. Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems
    2017 314 citations Handing Wang, Yaochu Jin et al. profile →
  4. A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization
    2018 281 citations Linqiang Pan, Cheng He et al. IEEE Transactions on Evolutionary Computation profile →
  5. A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization
    2021 172 citations Zhenshou Song, Handing Wang 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
Handing Wang China 31 3.0k 2.9k 714 327 267 112 4.4k
Markus Olhofer Germany 25 2.2k 0.7× 2.6k 0.9× 606 0.8× 341 1.0× 264 1.0× 89 4.0k
Juergen Branke United Kingdom 24 2.5k 0.8× 2.2k 0.7× 677 0.9× 437 1.3× 509 1.9× 85 3.9k
Hai‐Lin Liu China 25 2.1k 0.7× 2.1k 0.7× 391 0.5× 273 0.8× 202 0.8× 146 3.0k
Abhishek Gupta Singapore 34 3.4k 1.1× 2.9k 1.0× 327 0.5× 273 0.8× 560 2.1× 103 4.9k
Luigi Barone Australia 19 2.3k 0.8× 2.5k 0.8× 598 0.8× 309 0.9× 287 1.1× 47 3.3k
Shi-Zheng Zhao Singapore 10 2.1k 0.7× 2.1k 0.7× 307 0.4× 346 1.1× 231 0.9× 16 3.1k
Efrén Mezura‐Montes Mexico 29 3.9k 1.3× 3.2k 1.1× 272 0.4× 690 2.1× 394 1.5× 180 5.6k
Xiaoliang Ma China 24 1.8k 0.6× 1.7k 0.6× 319 0.4× 196 0.6× 189 0.7× 61 2.5k
Caitong Yue China 28 2.6k 0.9× 2.3k 0.8× 148 0.2× 411 1.3× 257 1.0× 99 3.5k
Kunjie Yu China 38 3.9k 1.3× 2.2k 0.7× 161 0.2× 550 1.7× 269 1.0× 109 5.2k

Countries citing papers authored by Handing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Handing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Handing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Handing Wang. A scholar is included among the top collaborators of Handing Wang 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 Handing Wang. Handing Wang 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.
Wang, Handing, et al.. (2025). Automated algorithm selection for black-box optimization using light gradient boosting machine. Swarm and Evolutionary Computation. 98. 102071–102071.
2.
Peng, Xingguang, et al.. (2025). Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates. Swarm and Evolutionary Computation. 98. 102107–102107.
3.
Wang, Handing, et al.. (2025). Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time. Swarm and Evolutionary Computation. 94. 101880–101880. 1 indexed citations
4.
Wang, Handing, et al.. (2024). Knee-oriented expensive many-objective optimization via aggregation-dominance: A multi-task perspective. Swarm and Evolutionary Computation. 92. 101813–101813.
5.
Wang, Handing, et al.. (2024). Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing. 585. 127627–127627. 1 indexed citations
6.
Gu, Haoran, Handing Wang, Cheng He, Bo Yuan, & Yaochu Jin. (2024). Large-Scale Multiobjective Evolutionary Algorithm Guided by Low-Dimensional Surrogates of Scalarization Functions. Evolutionary Computation. 33(3). 309–334. 6 indexed citations
7.
Pan, Linqiang, et al.. (2024). Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition. IEEE Transactions on Evolutionary Computation. 29(4). 921–935. 9 indexed citations
8.
Gu, Haoran, Handing Wang, & Jingjing Ma. (2024). Test Suites and Performance of Algorithms in Large-Scale Multiobjective Evolutionary Optimization. 1–8. 1 indexed citations
9.
10.
Wang, Handing, et al.. (2024). A Morphological Transfer-Based Multi-Fidelity Evolutionary Algorithm for Soft Robot Design. IEEE Computational Intelligence Magazine. 19(4). 16–30. 2 indexed citations
11.
Wang, Handing, et al.. (2023). Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation. Swarm and Evolutionary Computation. 77. 101252–101252. 15 indexed citations
12.
Yao, Wen, et al.. (2023). Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget. Applied Soft Computing. 142. 110370–110370. 12 indexed citations
13.
Wang, Handing, et al.. (2023). A local correlation estimation surrogate-assisted bi-objective evolutionary algorithm for heterogeneous objectives. Applied Soft Computing. 151. 111175–111175. 2 indexed citations
14.
Song, Zhenshou, Handing Wang, Bing Xue, & Mengjie Zhang. (2023). Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection. IEEE Transactions on Evolutionary Computation. 28(6). 1824–1837. 11 indexed citations
15.
Song, Zhenshou, Handing Wang, Bing Xue, Mengjie Zhang, & Yaochu Jin. (2023). Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 28(5). 1286–1300. 37 indexed citations
16.
Gao, Zi, et al.. (2022). Targeted Proteomic Analysis of Small GTPases in Radioresistant Breast Cancer Cells. Analytical Chemistry. 94(43). 14925–14930. 4 indexed citations
17.
Song, Zhenshou, Handing Wang, Cheng He, & Yaochu Jin. (2021). A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 25(6). 1013–1027. 172 indexed citations breakdown →
18.
He, Linjun, et al.. (2021). A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 25(6). 1028–1048. 61 indexed citations
19.
Jansen, Jan O., Ernest E. Moore, Handing Wang, et al.. (2018). Maximizing geographical efficiency: An analysis of the configuration of Colorado's trauma system. The Journal of Trauma: Injury, Infection, and Critical Care. 84(5). 762–770. 14 indexed citations
20.
Jansen, Jan O., et al.. (2014). Optimizing trauma system design. The Journal of Trauma: Injury, Infection, and Critical Care. 76(4). 1035–1040. 24 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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