Jingbin Wang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Immunology
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Topics
- Advanced Graph Neural Networks (8 papers)Topic Modeling (6 papers)Geochemistry and Geologic Mapping (6 papers)
- Journals
- The Journal of ImmunologyIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Jingbin Wang
45 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 736
- Artificial Intelligence 394
- Immunology 147
- Molecular Biology 110
- Radiology, Nuclear Medicine and Imaging 86
Countries citing papers authored by Jingbin Wang
This map shows the geographic impact of Jingbin Wang'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 Jingbin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingbin Wang more than expected).
Fields of papers citing papers by Jingbin Wang
This network shows the impact of papers produced by Jingbin Wang. 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 Jingbin Wang. The network helps show where Jingbin Wang may publish in the future.
Co-authorship network of co-authors of Jingbin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jingbin Wang. A scholar is included among the top collaborators of Jingbin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingbin Wang. Jingbin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 55 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 26 | |
| 11 | 31 | |
| 12 | Discovery of Tuerkubantao ophiolitic melange in Xinjiang and its significance | 3 |
| 13 | 44 | |
| 14 | Pb-Zn deposits related to brine activities of Cenozoic basin occurred at the periphery of Tibetan Plateau | 1 |
| 15 | 18 | |
| 16 | Clinical study of Weiling Granules on precancerous lesion in patients with chronic atrophic gastritis | 1 |
| 17 | 51 | |
| 18 | 3 | |
| 19 | METALLOGENIC FACTORS AND POTENTIAL FOR Cu-POLYMETALLIC DEPOSITS RELATED TO VOLCANIC ACTIVITY IN THE BEISHAN AREA | 1 |
| 20 | 28 |
About Jingbin Wang
Jingbin Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geophysics, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (8 papers), Topic Modeling (6 papers) and Geochemistry and Geologic Mapping (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (736 citations), Artificial Intelligence (394 citations) and Urban Studies (43 citations). Jingbin Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Bo Chen, Jiang Wang, James Philbin, Yang Song, Ying Wu, Thomas Leung, Haoxiang Wang, Margrit Betke, Jane P. Ko and Liming Luan. Their work appears in journals such as The Journal of Immunology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.