Junbo Wang
Impact in
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- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
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- Cell Image Analysis Techniques
Papers in
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- Microfluidic and Bio-sensing Technologies 7
- Microfluidic and Capillary Electrophoresis Applications 5
- Biosensors and Analytical Detection 3
- Surface Chemistry and Catalysis 2
- Nanopore and Nanochannel Transport Studies 2
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- Multimodal Machine Learning Applications 3
- Co-authors
- Wei Wang (3 shared papers)Liang Wang (3 shared papers)Tieniu Tan (3 shared papers)Yan Huang (2 shared papers)Jian Chen (6 shared papers)Hongyan Liang (4 shared papers)Deyong Chen (5 shared papers)Yixiang Wang (2 shared papers)
- Journals
- Cell (3 papers)Future Generation Computer Systems (1 paper)Journal of the American Chemical Society (1 paper)Food Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Junbo Wang
20 papers receiving 276 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 130
- Biophysics 14
- Biomedical Engineering 73
- Infectious Diseases 27
- Artificial Intelligence 26
Countries citing papers authored by Junbo Wang
This map shows the geographic impact of Junbo 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 Junbo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbo Wang more than expected).
Fields of papers citing papers by Junbo Wang
This network shows the impact of papers produced by Junbo 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 Junbo Wang. The network helps show where Junbo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junbo Wang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2022 | 36 | |
| 3 | 2022 | 21 | |
| 4 | 2020 | 20 | |
| 5 | 2024 | 14 | |
| 6 | 2004 | 13 | |
| 7 | 2020 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Junbo Wang
Junbo Wang is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence and Immunology, having authored 25 papers that have together received 280 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Multimodal Machine Learning Applications (3 papers), Biosensors and Analytical Detection (3 papers), Surface Chemistry and Catalysis (2 papers), Robot Manipulation and Learning (2 papers), Nanopore and Nanochannel Transport Studies (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Biophysics (14 citations), Biomedical Engineering (73 citations), Infectious Diseases (27 citations) and Artificial Intelligence (26 citations). Junbo Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Wei Wang, Liang Wang, Tieniu Tan, Yan Huang, Jian Chen, Hongyan Liang, Deyong Chen, Yixiang Wang, Yi Zhang and Yuan Zhang. Their work appears in journals such as Cell, Future Generation Computer Systems, Journal of the American Chemical Society, Food Chemistry and Nature Communications.
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.