Bangjun Wang
Impact in
- General Energy top 10%
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- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 10
- Image Retrieval and Classification Techniques 4
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- Energy, Environment, Economic Growth 10
- Climate Change Policy and Economics 5
- Co-authors
- Li Zhang (19 shared papers)Fanzhang Li (13 shared papers)Zhao Zhang (9 shared papers)Xiaojuan Huang (2 shared papers)Kejia Xie (3 shared papers)Feng Ji (5 shared papers)Jie Zheng (1 shared paper)Huihong Wang (2 shared papers)
- Journals
- Applied Intelligence (4 papers)Energy (3 papers)Journal of Intelligent & Fuzzy Systems (2 papers)Energy Strategy Reviews (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaBangladesh
In The Last Decade
Bangjun Wang
60 papers receiving 919 citations
Peers
Comparison fields: 5 of 135
- General Energy 10
- Computer Vision and Pattern Recognition 159
- Pollution 70
- Artificial Intelligence 168
- Economics and Econometrics 129
Countries citing papers authored by Bangjun Wang
This map shows the geographic impact of Bangjun 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 Bangjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bangjun Wang more than expected).
Fields of papers citing papers by Bangjun Wang
This network shows the impact of papers produced by Bangjun 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 Bangjun Wang. The network helps show where Bangjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bangjun 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2018 | 76 | |
| 3 | 2019 | 66 | |
| 4 | 2021 | 65 | |
| 5 | 2017 | 53 | |
| 6 | 2014 | 46 | |
| 7 | 2018 | 44 | |
| 8 | 2018 | 37 | |
| 9 | 2022 | 31 | |
| 10 | 2022 | 31 | |
| 11 | 2020 | 29 | |
| 12 | 2016 | 25 | |
| 13 | 2022 | 24 | |
| 14 | 2019 | 22 | |
| 15 | 2004 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2018 | 18 | |
| 20 | 2017 | 16 |
About Bangjun Wang
Bangjun Wang is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics, Environmental Engineering, Management Science and Operations Research and Artificial Intelligence, having authored 65 papers that have together received 952 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Energy, Environment, Economic Growth (10 papers), Environmental Impact and Sustainability (7 papers), Climate Change Policy and Economics (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Sustainable Supply Chain Management (4 papers), Image Retrieval and Classification Techniques (4 papers) and Energy, Environment, and Transportation Policies (4 papers). The work is most often cited by research in General Energy (10 citations), Computer Vision and Pattern Recognition (159 citations), Pollution (70 citations), Artificial Intelligence (168 citations) and Economics and Econometrics (129 citations). Bangjun Wang 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, Huihong Wang, Liping Sun and Jin Cao. Their work appears in journals such as Applied Intelligence, Energy, Journal of Intelligent & Fuzzy Systems, Energy Strategy Reviews 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.