Bin Xin

4.2k citations
196 papers · 3.3k · h-index 32

Impact in

Papers in

Bin Xin

174 papers receiving 3.2k citations

Peers

Bin Xin
Comparison fields: 5 of 78
  • Industrial and Manufacturing Engineering 373
  • Aerospace Engineering 722
  • Computer Networks and Communications 605
  • Artificial Intelligence 872
  • Computational Theory and Mathematics 358
Replace John L. Vian with:
John L. Vian United States
Félix Ingrand France
STEPHEN L. J. SMITH Canada
Mohamed Salah Khalgui Tunisia
Zoran A. Salcic New Zealand
Edison Pignaton de Freitas Brazil
Xiaomin Zhu China
Cheng Feng China
Arthur Richards United Kingdom
Dingde Jiang China
Bin Xin relative to John L. Vian United States John L. Vian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bin Xin

Since Specialization
Citations

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

Fields of papers citing papers by Bin Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011166
2 2018120
3 2009114
4 2020103
5 2015100
6 201094
7 201890
8 201688
9 201486
10 201082
11 201782
12 200879
13 201979
14 202072
15 201966
16 201765
17 200655
18 202251
19 201047
20 201246

About Bin Xin

Bin Xin is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering, having authored 196 papers that have together received 3.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (49 papers), Robotic Path Planning Algorithms (41 papers), Distributed Control Multi-Agent Systems (34 papers), Military Defense Systems Analysis (25 papers), Advanced Multi-Objective Optimization Algorithms (20 papers), Scheduling and Optimization Algorithms (14 papers), Vehicle Routing Optimization Methods (10 papers) and Adaptive Control of Nonlinear Systems (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (373 citations), Aerospace Engineering (722 citations), Computer Networks and Communications (605 citations), Artificial Intelligence (872 citations) and Computational Theory and Mathematics (358 citations). Bin Xin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Chen, Lihua Dou, Yulong Ding, Zhihong Peng, Juan Zhang, Zhihong Peng, Qing Wang, Juan Zhang, Pãnos M. Pardalos and Xing Zhang. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Systems Man and Cybernetics Systems, Unmanned Systems, IEEE Transactions on Automation Science and Engineering and Science China Information Sciences.

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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