Bingdong Li

25 total papers · 1.2k total citations
15 papers, 955 citations indexed

About

Bingdong Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Bingdong Li has authored 15 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in Bingdong Li's work include Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (6 papers). Bingdong Li is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (6 papers). Bingdong Li collaborates with scholars based in China, United Kingdom and Singapore. Bingdong Li's co-authors include Xin Yao, Ke Tang, Jinlong Li, Aimin Zhou, Wenjing Hong, Peng Yang, Shengcai Liu, Chao Qian, Dacheng Liu and Yan Zhang and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Evolutionary Computation and Neurocomputing.

In The Last Decade

Bingdong Li

14 papers receiving 940 citations

Hit Papers

Many-Objective Evolutiona... 2015 2026 2018 2022 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bingdong Li 704 677 197 81 80 15 955
Yu Setoguchi 699 1.0× 612 0.9× 183 0.9× 70 0.9× 81 1.0× 9 914
Dudy Lim 556 0.8× 536 0.8× 104 0.5× 42 0.5× 45 0.6× 10 813
Mayank Kumar Goyal 745 1.1× 738 1.1× 143 0.7× 86 1.1× 130 1.6× 38 1.2k
Md Asafuddoula 555 0.8× 563 0.8× 149 0.8× 78 1.0× 74 0.9× 18 796
Adriana Lara 657 0.9× 572 0.8× 112 0.6× 73 0.9× 106 1.3× 28 848
P. Amato 764 1.1× 730 1.1× 171 0.9× 62 0.8× 151 1.9× 30 1.2k
Songbai Liu 747 1.1× 735 1.1× 110 0.6× 74 0.9× 104 1.3× 41 1.0k
Qingling Zhu 587 0.8× 590 0.9× 89 0.5× 72 0.9× 93 1.2× 29 881
Dimo Brockhoff 871 1.2× 758 1.1× 187 0.9× 73 0.9× 139 1.7× 50 1.2k
E.F. Khor 455 0.6× 427 0.6× 76 0.4× 37 0.5× 105 1.3× 20 807

Countries citing papers authored by Bingdong Li

Since Specialization
Citations

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

Fields of papers citing papers by Bingdong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingdong Li

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

All Works

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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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