Bin Kong
Impact in
- Polymers and Plastics top 10%
- Polymer crystallization and properties
- Polymer Nanocomposites and Properties
-
- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 7
- Advanced Vision and Imaging 6
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- Material Dynamics and Properties 7
- Block Copolymer Self-Assembly 5
- Co-authors
- Xiaozhen Yang (16 shared papers)Rongliang Wu (6 shared papers)Manli Deng (2 shared papers)Jing Yang (9 shared papers)Yu Xiang (2 shared papers)Xiong‐Fei Zhang (3 shared papers)Jun Wang (1 shared paper)Amir Hussain (4 shared papers)
- Journals
- The Journal of Physical Chemistry B (6 papers)Polymer (5 papers)Liquid Crystals (4 papers)Ocean Engineering (2 papers)Science China Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Kong
67 papers receiving 825 citations
Peers
Comparison fields: 5 of 111
- Polymers and Plastics 128
- Computer Vision and Pattern Recognition 155
- Surfaces, Coatings and Films 51
- Automotive Engineering 80
- Organic Chemistry 158
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 56 | |
| 2 | 2008 | 51 | |
| 3 | 2017 | 50 | |
| 4 | 2021 | 49 | |
| 5 | 2019 | 47 | |
| 6 | 2006 | 40 | |
| 7 | 2014 | 38 | |
| 8 | 2009 | 37 | |
| 9 | 2013 | 34 | |
| 10 | 2009 | 28 | |
| 11 | 2003 | 26 | |
| 12 | 2006 | 22 | |
| 13 | 2009 | 21 | |
| 14 | 2009 | 21 | |
| 15 | 2023 | 17 | |
| 16 | 2009 | 17 | |
| 17 | 2001 | 17 | |
| 18 | Emodin plays an interventional role in epileptic rats via multidrug resistance gene 1 (MDR1). | 2015 | 16 |
| 19 | 2005 | 14 | |
| 20 | 2019 | 13 |
About Bin Kong
Bin Kong is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Organic Chemistry, Polymers and Plastics and Automotive Engineering, having authored 71 papers that have together received 842 indexed citations. Recurring topics across this work include Material Dynamics and Properties (7 papers), Autonomous Vehicle Technology and Safety (7 papers), Advanced Neural Network Applications (7 papers), Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers), Surfactants and Colloidal Systems (6 papers), Polymer crystallization and properties (6 papers) and Block Copolymer Self-Assembly (5 papers). The work is most often cited by research in Polymers and Plastics (128 citations), Computer Vision and Pattern Recognition (155 citations), Surfaces, Coatings and Films (51 citations), Automotive Engineering (80 citations) and Organic Chemistry (158 citations). Bin Kong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaozhen Yang, Rongliang Wu, Manli Deng, Jing Yang, Yu Xiang, Xiong‐Fei Zhang, Jun Wang, Amir Hussain, Tao Mei and Kia Dashtipour. Their work appears in journals such as The Journal of Physical Chemistry B, Polymer, Liquid Crystals, Ocean Engineering and Science China Chemistry.
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.