Bin Xin
Impact in
- Nuclear and High Energy Physics top 10%
- Dark Matter and Cosmic Phenomena
- Particle physics theoretical and experimental studies
- Neutrino Physics Research
Papers in
-
- Robotic Path Planning Algorithms 11
-
- UAV Applications and Optimization 5
- Robotics and Sensor-Based Localization 4
- Co-authors
- Shujuan Li (3 shared papers)Yulong Ding (4 shared papers)Jie Chen (3 shared papers)H. T. Wong (5 shared papers)S. T. Lin (4 shared papers)V. Singh (4 shared papers)H. B. Li (2 shared papers)Han‐Xiong Huang (3 shared papers)
In The Last Decade
Bin Xin
25 papers receiving 238 citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 87
- Industrial and Manufacturing Engineering 35
- Computer Vision and Pattern Recognition 53
- Radiation 21
- Computer Networks and Communications 42
Countries citing papers authored by Bin Xin
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
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.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2007 | 35 | |
| 3 | 2017 | 25 | |
| 4 | 2007 | 19 | |
| 5 | 2005 | 17 | |
| 6 | 2016 | 17 | |
| 7 | 2014 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2004 | 10 | |
| 10 | 2002 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2020 | 6 | |
| 15 | A SURVEY AND TAXONOMY ON HYBRID ALGORITHMS BASED ON PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTION | 2011 | 4 |
| 16 | 2019 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 1 |
About Bin Xin
Bin Xin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Nuclear and High Energy Physics and Electrical and Electronic Engineering, having authored 27 papers that have together received 244 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Dark Matter and Cosmic Phenomena (5 papers), UAV Applications and Optimization (5 papers), Advanced machining processes and optimization (4 papers), Robotics and Sensor-Based Localization (4 papers), Distributed Control Multi-Agent Systems (4 papers), Advanced Machining and Optimization Techniques (4 papers) and Advanced Surface Polishing Techniques (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (87 citations), Industrial and Manufacturing Engineering (35 citations), Computer Vision and Pattern Recognition (53 citations), Radiation (21 citations) and Computer Networks and Communications (42 citations). Bin Xin has collaborated with scholars based in China, Taiwan and Türkiye. Frequent co-authors include Shujuan Li, Yulong Ding, Jie Chen, H. T. Wong, S. T. Lin, V. Singh, H. B. Li, Han‐Xiong Huang, Jun Li and Zhihong Peng. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Materials Processing Technology, Electronics, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Applied 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.