Langchun Si

537 total citations · 1 hit paper
8 papers, 358 citations indexed

About

Langchun Si is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Radiation. According to data from OpenAlex, Langchun Si has authored 8 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Artificial Intelligence and 3 papers in Radiation. Recurrent topics in Langchun Si's work include Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (3 papers). Langchun Si is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (3 papers). Langchun Si collaborates with scholars based in China, Germany and Hong Kong. Langchun Si's co-authors include Ye Tian, Xingyi Zhang, Yaochu Jin, Kay Chen Tan, Ran Cheng, Cheng He, Lei Zhang, Yuanzhi Hu, Jianfeng Qiu and Shangshang Yang and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Langchun Si

8 papers receiving 351 citations

Hit Papers

Evolutionary Large-Scale Multi-Objective Optimization: A ... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Langchun Si China 5 234 213 35 28 28 8 358
Zefeng Chen China 12 252 1.1× 230 1.1× 36 1.0× 31 1.1× 49 1.8× 28 361
Yoel Tenne Israel 7 172 0.7× 194 0.9× 20 0.6× 30 1.1× 48 1.7× 23 307
Borhan Kazimipour Australia 8 380 1.6× 286 1.3× 32 0.9× 30 1.1× 35 1.3× 13 476
Iztok Fister Slovenia 8 135 0.6× 54 0.3× 40 1.1× 23 0.8× 9 0.3× 30 309
Y. Yang China 10 220 0.9× 223 1.0× 35 1.0× 29 1.0× 34 1.2× 24 330
Ulrike Baumgartner Austria 5 137 0.6× 132 0.6× 29 0.8× 61 2.2× 21 0.8× 6 308
Xuanxuan Ban China 8 256 1.1× 261 1.2× 45 1.3× 54 1.9× 22 0.8× 17 394
Jingda Deng Hong Kong 9 256 1.1× 262 1.2× 32 0.9× 31 1.1× 55 2.0× 13 379
Yuanchao Liu China 14 365 1.6× 295 1.4× 47 1.3× 46 1.6× 43 1.5× 42 528
Antonio Bolufé-Röhler Canada 10 238 1.0× 169 0.8× 14 0.4× 26 0.9× 7 0.3× 30 342

Countries citing papers authored by Langchun Si

Since Specialization
Citations

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

Fields of papers citing papers by Langchun Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Langchun Si

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

All Works

8 of 8 papers shown
1.
Si, Langchun, Xingyi Zhang, Yajie Zhang, Shangshang Yang, & Ye Tian. (2025). An Efficient Sampling Approach to Offspring Generation for Evolutionary Large-Scale Constrained Multi-Objective Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(3). 2080–2092. 3 indexed citations
2.
Chen, Wei, et al.. (2025). Pattern mining-based evolutionary multi-objective algorithm for beam angle optimization in intensity-modulated radiotherapy. Complex & Intelligent Systems. 11(4). 1 indexed citations
3.
Tian, Ye, et al.. (2023). Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(2). 1388–1401. 1 indexed citations
4.
Si, Langchun, Xingyi Zhang, Ye Tian, et al.. (2023). Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 29(3). 697–710. 20 indexed citations
5.
Tian, Ye, Langchun Si, Xingyi Zhang, Kay Chen Tan, & Yaochu Jin. (2022). Local Model-Based Pareto Front Estimation for Multiobjective Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 623–634. 48 indexed citations
6.
Si, Langchun, Xuesong Li, Chao Wang, et al.. (2022). A conjugate gradient-assisted multi-objective evolutionary algorithm for fluence map optimization in radiotherapy treatment. Complex & Intelligent Systems. 8(5). 4051–4077. 6 indexed citations
7.
Tian, Ye, Langchun Si, Xingyi Zhang, et al.. (2021). Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Computing Surveys. 54(8). 1–34. 255 indexed citations breakdown →
8.
Zhang, Lei, et al.. (2019). Precursory Pattern Based Feature Extraction Techniques for Earthquake Prediction. IEEE Access. 7. 30991–31001. 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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