Bingdong Li

28 papers receiving 695 citations

Peers

Bingdong Li
Comparison fields: 5 of 94
  • Renewable Energy, Sustainability and the Environment 269
  • Oral Surgery 76
  • Computer Networks and Communications 169
  • Materials Chemistry 264
  • Artificial Intelligence 175
Replace Yao Xue with:
Yao Xue China
Mingwei Xu China
Duo Zhang China
Jielong Xu United States
K. Scott United States
Zhao-Qian Chen China
Kunqi Li China
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Citations per field
00.5×10×16.9×
Yao Xue · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bingdong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bingdong Li Line = papers co-authored together Bingdong Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013164
2 200988
3 201979
4 201950
5 201845
6 201940
7 202028
8 202227
9 201320
10 201320
11 202119
12 202317
13 202116
14 202115
15 201913
16 201810
17 20158
18 20238
19 20247
20 20227

About Bingdong Li

Bingdong Li is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 30 papers that have together received 711 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (10 papers), Advanced Nanomaterials in Catalysis (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Hydrology and Sediment Transport Processes (3 papers), Catalytic Processes in Materials Science (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (269 citations), Oral Surgery (76 citations), Computer Networks and Communications (169 citations), Materials Chemistry (264 citations) and Artificial Intelligence (175 citations). Bingdong Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mehmet Hadi Güneş, George Bebis, Guifu Zuo, Xianguang Meng, Zhaoliang Guo, Peixiao Zong, Vellaisamy A. L. Roy, Shanshan Liu, Weishu Hou and Yi Du. Their work appears in journals such as Catalysis Communications, Swarm and Evolutionary Computation, Hydrological Sciences Journal, Journal of Alloys and Compounds and Environmental Fluid Mechanics.

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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