Bin Kong
Impact in
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- Advanced Neural Network Applications
- Image and Object Detection Techniques
- Polymers and Plastics top 10%
- Polymer crystallization and properties
Papers in
-
- Advanced Neural Network Applications 10
- Advanced Vision and Imaging 8
-
- Material Dynamics and Properties 7
- Co-authors
- Xiaozhen Yang (16 shared papers)Rongliang Wu (6 shared papers)Manli Deng (2 shared papers)Yu Xiang (2 shared papers)Jing Yang (9 shared papers)Xiong‐Fei Zhang (3 shared papers)Amir Hussain (5 shared papers)Tao Mei (2 shared papers)
- Journals
- The Journal of Physical Chemistry B (6 papers)Polymer (5 papers)Liquid Crystals (4 papers)Ocean Engineering (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Kong
74 papers receiving 918 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 213
- Polymers and Plastics 131
- Surfaces, Coatings and Films 52
- Automotive Engineering 89
- Organic Chemistry 161
Countries citing papers authored by Bin Kong
This map shows the geographic impact of Bin Kong'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 Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Kong more than expected).
Fields of papers citing papers by Bin Kong
This network shows the impact of papers produced by Bin Kong. 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 Kong. The network helps show where Bin Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Kong, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2009 | 56 | |
| 3 | 2008 | 55 | |
| 4 | 2017 | 50 | |
| 5 | 2019 | 48 | |
| 6 | 2014 | 41 | |
| 7 | 2006 | 40 | |
| 8 | 2009 | 37 | |
| 9 | 1996 | 37 | |
| 10 | 2013 | 35 | |
| 11 | 2009 | 28 | |
| 12 | 2003 | 26 | |
| 13 | 2006 | 23 | |
| 14 | 2009 | 22 | |
| 15 | 2009 | 21 | |
| 16 | 2023 | 18 | |
| 17 | 2001 | 18 | |
| 18 | 2009 | 17 | |
| 19 | Emodin plays an interventional role in epileptic rats via multidrug resistance gene 1 (MDR1). | 2015 | 16 |
| 20 | 2019 | 15 |
About Bin Kong
Bin Kong is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Aerospace Engineering, Organic Chemistry and Polymers and Plastics, having authored 79 papers that have together received 936 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Robotics and Sensor-Based Localization (9 papers), Autonomous Vehicle Technology and Safety (8 papers), Advanced Vision and Imaging (8 papers), Material Dynamics and Properties (7 papers), Polymer crystallization and properties (6 papers), Surfactants and Colloidal Systems (6 papers) and Liquid Crystal Research Advancements (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Polymers and Plastics (131 citations), Surfaces, Coatings and Films (52 citations), Automotive Engineering (89 citations) and Organic Chemistry (161 citations). Bin Kong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaozhen Yang, Rongliang Wu, Manli Deng, Yu Xiang, Jing Yang, Xiong‐Fei Zhang, Amir Hussain, Tao Mei, Jun Wang and Kia Dashtipour. Their work appears in journals such as The Journal of Physical Chemistry B, Polymer, Liquid Crystals, Ocean Engineering and IEEE Access.
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.