Bin Xin

3.6k citations
153 papers · 2.6k · h-index 28

Impact in

Papers in

Bin Xin

141 papers receiving 2.6k citations

Peers

Bin Xin
Comparison fields: 5 of 116
  • Aerospace Engineering 987
  • Industrial and Manufacturing Engineering 339
  • Computer Networks and Communications 732
  • Control and Systems Engineering 705
  • Computer Vision and Pattern Recognition 598
Replace Jérôme Le Ny with:
Jérôme Le Ny Canada
Jesús Garcı́a Spain
Francesco Amigoni Italy
Shubhani Aggarwal India
Esther M. Arkin United States
Maria Prandini Italy
Arvind U. Raghunathan United States
Grégoire Danoy Luxembourg
Fengling Han Australia
Yuan Zhou China
Bin Xin relative to Jérôme Le Ny Canada Jérôme Le Ny's profile →
Citations per field
00.5×3.7×
Jérôme Le Ny · 1×
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 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011165
2 2018116
3 2009113
4 202096
5 201595
6 201089
7 201688
8 201883
9 201483
10 201780
11 201078
12 201974
13 202069
14 201959
15 201047
16 201246
17 202245
18 200942
19 201540
20 202139

About Bin Xin

Bin Xin is a scholar working on Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 153 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (40 papers), Metaheuristic Optimization Algorithms Research (31 papers), Distributed Control Multi-Agent Systems (31 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), UAV Applications and Optimization (20 papers), Military Defense Systems Analysis (20 papers), Guidance and Control Systems (17 papers) and Evolutionary Algorithms and Applications (16 papers). The work is most often cited by research in Aerospace Engineering (987 citations), Industrial and Manufacturing Engineering (339 citations), Computer Networks and Communications (732 citations), Control and Systems Engineering (705 citations) and Computer Vision and Pattern Recognition (598 citations). Bin Xin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Chen, Lihua Dou, Zhihong Peng, Yulong Ding, Juan Zhang, Yipeng Wang, Zhihong Peng, Juan Zhang, Qing Wang and Pãnos M. Pardalos. 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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