Wang Bang-jun
Impact in
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- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 14
- Image Retrieval and Classification Techniques 5
- Co-authors
- Li Zhang (28 shared papers)Fanzhang Li (20 shared papers)Zhao Zhang (12 shared papers)Xiaojuan Huang (4 shared papers)Kejia Xie (2 shared papers)Feng Ji (3 shared papers)Jie Zheng (1 shared paper)Liping Sun (2 shared papers)
- Journals
- Applied Intelligence (4 papers)Energy (3 papers)Energy Economics (2 papers)Energies (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaBangladesh
In The Last Decade
Wang Bang-jun
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 181
- General Energy 8
- Pollution 81
- Occupational Therapy 23
- Artificial Intelligence 186
Countries citing papers authored by Wang Bang-jun
This map shows the geographic impact of Wang Bang-jun'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 Wang Bang-jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Bang-jun more than expected).
Fields of papers citing papers by Wang Bang-jun
This network shows the impact of papers produced by Wang Bang-jun. 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 Wang Bang-jun. The network helps show where Wang Bang-jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Bang-jun, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 113 | |
| 2 | 2018 | 81 | |
| 3 | 2019 | 75 | |
| 4 | 2021 | 72 | |
| 5 | 2018 | 63 | |
| 6 | 2017 | 54 | |
| 7 | 2014 | 50 | |
| 8 | 2018 | 40 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 32 | |
| 11 | 2020 | 31 | |
| 12 | 2022 | 28 | |
| 13 | 2016 | 25 | |
| 14 | 2019 | 23 | |
| 15 | 2004 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2017 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2017 | 17 |
About Wang Bang-jun
Wang Bang-jun is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Economics and Econometrics, Management Science and Operations Research and Environmental Engineering, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Energy, Environment, Economic Growth (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Environmental Impact and Sustainability (6 papers), Image Retrieval and Classification Techniques (5 papers), Gene expression and cancer classification (5 papers), Climate Change Policy and Economics (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), General Energy (8 citations), Pollution (81 citations), Occupational Therapy (23 citations) and Artificial Intelligence (186 citations). Wang Bang-jun has collaborated with scholars based in China and Bangladesh. Frequent co-authors include Li Zhang, Fanzhang Li, Zhao Zhang, Xiaojuan Huang, Kejia Xie, Feng Ji, Jie Zheng, Liping Sun, Huihong Wang and Jin Ling Cao. Their work appears in journals such as Applied Intelligence, Energy, Energy Economics, Energies and Sustainability.
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.