Puming Wang
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Image Enhancement Techniques 9
- Advanced Image Processing Techniques 7
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- Advanced Image Fusion Techniques 15
- Remote-Sensing Image Classification 7
- Co-authors
- Laurence T. Yang (10 shared papers)Jintao Li (2 shared papers)Xin Jin (24 shared papers)Jinjun Chen (1 shared paper)Qian Jiang (16 shared papers)Shaowen Yao (18 shared papers)Jintao Li (1 shared paper)Liwei Kuang (2 shared papers)
In The Last Decade
Puming Wang
45 papers receiving 515 citations
Peers
Comparison fields: 5 of 84
- Computational Mathematics 58
- Media Technology 67
- Energy Engineering and Power Technology 23
- Computer Networks and Communications 160
- Computer Vision and Pattern Recognition 119
Countries citing papers authored by Puming Wang
This map shows the geographic impact of Puming 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 Puming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puming Wang more than expected).
Fields of papers citing papers by Puming Wang
This network shows the impact of papers produced by Puming 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 Puming Wang. The network helps show where Puming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Puming 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 97 | |
| 2 | 2018 | 43 | |
| 3 | 2022 | 42 | |
| 4 | 2016 | 42 | |
| 5 | 2023 | 29 | |
| 6 | 2019 | 29 | |
| 7 | 2021 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2019 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2024 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 5 |
About Puming Wang
Puming Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computer Networks and Communications and Computational Mathematics, having authored 50 papers that have together received 525 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (15 papers), Image Enhancement Techniques (9 papers), Tensor decomposition and applications (8 papers), Advanced Image Processing Techniques (7 papers), Network Security and Intrusion Detection (7 papers), Remote-Sensing Image Classification (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Human Mobility and Location-Based Analysis (6 papers). The work is most often cited by research in Computational Mathematics (58 citations), Media Technology (67 citations), Energy Engineering and Power Technology (23 citations), Computer Networks and Communications (160 citations) and Computer Vision and Pattern Recognition (119 citations). Puming Wang has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Laurence T. Yang, Jintao Li, Xin Jin, Jinjun Chen, Qian Jiang, Shaowen Yao, Jintao Li, Liwei Kuang, Xiaokang Wang and Xiaoqing Bai. Their work appears in journals such as IEEE Transactions on Network Science and Engineering, Information Fusion, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement and Frontiers in Energy Research.
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.