Ben Wang
Impact in
- Computational Mathematics top 10%
-
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
-
- Visual Attention and Saliency Detection 4
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 2
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- Nanomaterials and Printing Technologies 2
- Co-authors
- Xuelong Hu (3 shared papers)Shuhan Chen (2 shared papers)Kan Wang (3 shared papers)Chuck Zhang (3 shared papers)Huchuan Lu (1 shared paper)Yun Fu (1 shared paper)John Papapolymerou (2 shared papers)Wei Wang (2 shared papers)
- Journals
- IEEE Transactions on Cybernetics (1 paper)The Visual Computer (1 paper)Signal Processing (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Microwave Theory and Techniques (1 paper)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Ben Wang
16 papers receiving 660 citations
Peers
Comparison fields: 5 of 77
- Computational Mathematics 11
- Computer Vision and Pattern Recognition 239
- Signal Processing 71
- Media Technology 45
- Aerospace Engineering 121
Countries citing papers authored by Ben Wang
This map shows the geographic impact of Ben 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 Ben Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Wang more than expected).
Fields of papers citing papers by Ben Wang
This network shows the impact of papers produced by Ben 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 Ben Wang. The network helps show where Ben Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2016 | 91 | |
| 3 | 2017 | 81 | |
| 4 | 2015 | 77 | |
| 5 | 2014 | 61 | |
| 6 | 2011 | 57 | |
| 7 | 2018 | 55 | |
| 8 | 2009 | 48 | |
| 9 | 2019 | 38 | |
| 10 | 2019 | 18 | |
| 11 | 2011 | 5 | |
| 12 | 2013 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 1 |
About Ben Wang
Ben Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Cognitive Neuroscience and Signal Processing, having authored 16 papers that have together received 686 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (4 papers), Gaze Tracking and Assistive Technology (2 papers), Nanomaterials and Printing Technologies (2 papers), Face Recognition and Perception (2 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Direction-of-Arrival Estimation Techniques (2 papers) and Radar Systems and Signal Processing (1 paper). The work is most often cited by research in Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (239 citations), Signal Processing (71 citations), Media Technology (45 citations) and Aerospace Engineering (121 citations). Ben Wang has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Xuelong Hu, Shuhan Chen, Kan Wang, Chuck Zhang, Huchuan Lu, Yun Fu, John Papapolymerou, Wei Wang, Yung-Hang Chang and Jing Liu. Their work appears in journals such as IEEE Transactions on Cybernetics, The Visual Computer, Signal Processing, IEEE Transactions on Image Processing and IEEE Transactions on Microwave Theory and Techniques.
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.