Junchi Bin
Impact in
- Ocean Engineering top 5%
- Maritime Navigation and Safety
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- Maritime Ports and Logistics
Papers in
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- Advanced Neural Network Applications 4
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- Remote-Sensing Image Classification 4
- Co-authors
- Zheng Liu (27 shared papers)Bryan Gardiner (5 shared papers)Eric Li (5 shared papers)Erik Blasch (4 shared papers)Chengkai Zhang (3 shared papers)Yue Cao (2 shared papers)Huan Liu (10 shared papers)Xiang Peng (1 shared paper)
- Journals
- Information Fusion (3 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Review of Scientific Instruments (2 papers)IEEE Transactions on Industrial Informatics (1 paper)IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Junchi Bin
35 papers receiving 654 citations
Peers
Comparison fields: 5 of 91
- Ocean Engineering 137
- Industrial and Manufacturing Engineering 70
- Computational Mathematics 4
- Transportation 32
- Computer Vision and Pattern Recognition 104
Countries citing papers authored by Junchi Bin
This map shows the geographic impact of Junchi Bin'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 Junchi Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junchi Bin more than expected).
Fields of papers citing papers by Junchi Bin
This network shows the impact of papers produced by Junchi Bin. 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 Junchi Bin. The network helps show where Junchi Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junchi Bin, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 94 | |
| 2 | 2020 | 87 | |
| 3 | 2020 | 51 | |
| 4 | 2019 | 50 | |
| 5 | 2020 | 47 | |
| 6 | 2023 | 37 | |
| 7 | 2017 | 27 | |
| 8 | 2021 | 27 | |
| 9 | 2024 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2020 | 9 |
About Junchi Bin
Junchi Bin is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Ocean Engineering, Pollution and Geophysics, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Housing Market and Economics (4 papers), Oil Spill Detection and Mitigation (4 papers), Remote-Sensing Image Classification (4 papers), Geomagnetism and Paleomagnetism Studies (3 papers), Maritime Navigation and Safety (3 papers), NMR spectroscopy and applications (3 papers) and Fire Detection and Safety Systems (3 papers). The work is most often cited by research in Ocean Engineering (137 citations), Industrial and Manufacturing Engineering (70 citations), Computational Mathematics (4 citations), Transportation (32 citations) and Computer Vision and Pattern Recognition (104 citations). Junchi Bin has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Zheng Liu, Bryan Gardiner, Eric Li, Erik Blasch, Chengkai Zhang, Yue Cao, Huan Liu, Xiang Peng, Rui Wang and Teng Wang. Their work appears in journals such as Information Fusion, IEEE Transactions on Instrumentation and Measurement, Review of Scientific Instruments, IEEE Transactions on Industrial Informatics and IEEE Transactions on Emerging Topics in Computational Intelligence.
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.