Bingjun Sun

28 papers receiving 359 citations

Peers

Bingjun Sun
Comparison fields: 5 of 56
  • General Engineering 7
  • Safety, Risk, Reliability and Quality 47
  • Artificial Intelligence 159
  • Mechanics of Materials 110
  • Civil and Structural Engineering 88
Replace Bo Zheng with:
Bo Zheng China
Jun Feng China
Keiichi Tamura Japan
Chao Qin China
Qin Xie China
Liangjun Yu China
Yunzhi Xue China
Raehyun Kim South Korea
Longxin Lin China
Bingjun Sun relative to Bo Zheng China Bo Zheng's profile →
Citations per field
00.5×2×3×4×4.6×
Bo Zheng · 1×
Citations per year

Countries citing papers authored by Bingjun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Bingjun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bingjun Sun, 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 Bingjun Sun Line = papers co-authored together Bingjun Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200737
2 200636
3 202233
4 200931
5 202130
6 200726
7 200822
8 202420
9 201819
10 200717
11 202416
12 202114
13 201112
14 20229
15 20078
16 20097
17
Collaborative RPD-enabled agents assisting the three-block challenge in command and control in complex and urban terrain
20057
18 20216
19 20246
20 20064

About Bingjun Sun

Bingjun Sun is a scholar working on Artificial Intelligence, Mechanics of Materials, Civil and Structural Engineering, Molecular Biology and Information Systems, having authored 28 papers that have together received 377 indexed citations. Recurring topics across this work include Geomechanics and Mining Engineering (8 papers), Rock Mechanics and Modeling (8 papers), Advanced Text Analysis Techniques (6 papers), Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (5 papers), Tunneling and Rock Mechanics (4 papers), Geotechnical Engineering and Analysis (4 papers) and Geotechnical Engineering and Underground Structures (3 papers). The work is most often cited by research in General Engineering (7 citations), Safety, Risk, Reliability and Quality (47 citations), Artificial Intelligence (159 citations), Mechanics of Materials (110 citations) and Civil and Structural Engineering (88 citations). Bingjun Sun has collaborated with scholars based in United States and China. Frequent co-authors include Prasenjit Mitra, C. Lee Giles, John Yen, Michael D. McNeese, Xiaocong Fan, Weiteng Li, Tingchun Li, Shuang Sun, Hongyuan Zha and Dongdong Pang. Their work appears in journals such as Structures, Engineering Failure Analysis, Shock and Vibration, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and International Journal of Coal Science & Technology.

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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