Can Wang
Impact in
- Computational Mathematics top 5%
-
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
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- Geotechnical Engineering and Underground Structures 9
- Structural Health Monitoring Techniques 4
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- Geotechnical Engineering and Analysis 5
- Co-authors
- Chun Chen (15 shared papers)Jiajun Bu (14 shared papers)Lijun Zhang (4 shared papers)Deng Cai (2 shared papers)Guang Qiu (1 shared paper)Zheng Miao (1 shared paper)Defang Chen (6 shared papers)Feng Yan (3 shared papers)
- Journals
- Computers and Geotechnics (3 papers)Pattern Recognition (2 papers)Industrial & Engineering Chemistry Research (2 papers)IEEE Transactions on Affective Computing (1 paper)Advanced Materials Technologies (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Can Wang
79 papers receiving 2.0k citations
Can Wang's Hit Papers
Peers
Comparison fields: 5 of 126
- Computational Mathematics 25
- Computer Vision and Pattern Recognition 680
- Media Technology 139
- Artificial Intelligence 475
- Computational Mechanics 228
Countries citing papers authored by Can Wang
This map shows the geographic impact of Can 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 Can Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Wang more than expected).
Fields of papers citing papers by Can Wang
This network shows the impact of papers produced by Can 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 Can Wang. The network helps show where Can Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph Regularized Sparse Coding for Image Representation Hit paper breakdown → | 2010 | 478 |
| 2 | 2017 | 231 | |
| 3 | Cross-Layer Distillation with Semantic Calibration Hit paper breakdown → | 2021 | 228 |
| 4 | 2022 | 147 | |
| 5 | 2023 | 92 | |
| 6 | 2022 | 86 | |
| 7 | 2018 | 59 | |
| 8 | 2016 | 57 | |
| 9 | 2016 | 56 | |
| 10 | 2013 | 53 | |
| 11 | 2021 | 46 | |
| 12 | 2012 | 42 | |
| 13 | 2011 | 34 | |
| 14 | 2009 | 32 | |
| 15 | 2022 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2011 | 17 | |
| 19 | 2025 | 17 | |
| 20 | 2009 | 17 |
About Can Wang
Can Wang is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Geotechnical Engineering and Underground Structures (9 papers), Advanced Battery Materials and Technologies (6 papers), Advancements in Battery Materials (6 papers), Geotechnical Engineering and Analysis (5 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Structural Health Monitoring Techniques (4 papers). The work is most often cited by research in Computational Mathematics (25 citations), Computer Vision and Pattern Recognition (680 citations), Media Technology (139 citations), Artificial Intelligence (475 citations) and Computational Mechanics (228 citations). Can Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chun Chen, Jiajun Bu, Lijun Zhang, Deng Cai, Guang Qiu, Zheng Miao, Defang Chen, Feng Yan, Jian-Ping Mei and Wenlong Cai. Their work appears in journals such as Computers and Geotechnics, Pattern Recognition, Industrial & Engineering Chemistry Research, IEEE Transactions on Affective Computing and Advanced Materials Technologies.
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.