Dingwen Wang
Impact in
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- Carbon dioxide utilization in catalysis
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- Electrochemical Analysis and Applications
Papers in
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- Advanced Vision and Imaging 6
- Image Retrieval and Classification Techniques 4
- Advanced Neural Network Applications 3
- Image Enhancement Techniques 3
- Co-authors
- Chu He (10 shared papers)Jingbo Zhao (2 shared papers)Shuo Chen (2 shared papers)Zhiyuan Zhang (2 shared papers)Zhiwen Yu (4 shared papers)Tao Qu (5 shared papers)Yongfang Yu (1 shared paper)Hau−San Wong (4 shared papers)
In The Last Decade
Dingwen Wang
37 papers receiving 323 citations
Peers
Comparison fields: 5 of 75
- Process Chemistry and Technology 25
- Electrochemistry 29
- Media Technology 40
- Polymers and Plastics 51
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Dingwen Wang
This map shows the geographic impact of Dingwen 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 Dingwen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingwen Wang more than expected).
Fields of papers citing papers by Dingwen Wang
This network shows the impact of papers produced by Dingwen 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 Dingwen Wang. The network helps show where Dingwen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingwen 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2021 | 30 | |
| 3 | 2020 | 29 | |
| 4 | 2010 | 18 | |
| 5 | 2023 | 17 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2009 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Dingwen Wang
Dingwen Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Media Technology, having authored 42 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Metaheuristic Optimization Algorithms Research (4 papers), Image Retrieval and Classification Techniques (4 papers), Remote-Sensing Image Classification (4 papers), Advanced Neural Network Applications (3 papers), Remote Sensing and Land Use (3 papers), Image Enhancement Techniques (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Process Chemistry and Technology (25 citations), Electrochemistry (29 citations), Media Technology (40 citations), Polymers and Plastics (51 citations) and Computer Vision and Pattern Recognition (73 citations). Dingwen Wang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Chu He, Jingbo Zhao, Shuo Chen, Zhiyuan Zhang, Zhiwen Yu, Tao Qu, Yongfang Yu, Hau−San Wong, Mingsheng Liao and Limin Lu. Their work appears in journals such as Remote Sensing, Sensors, IEEE Transactions on Components Packaging and Manufacturing Technology, The Visual Computer and Ceramics International.
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.