Junqian Wang
Impact in
- Computational Mathematics top 10%
-
- Face and Expression Recognition
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Face and Expression Recognition 3
- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 2
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- AI in cancer detection 6
- Co-authors
- Yong Xu (9 shared papers)Jie Wen (5 shared papers)Lunke Fei (2 shared papers)Bob Zhang (2 shared papers)Ke Yan (1 shared paper)Zheng Zhang (2 shared papers)Chunwei Tian (1 shared paper)Nan Luo (1 shared paper)
In The Last Decade
Junqian Wang
15 papers receiving 517 citations
Peers
Comparison fields: 5 of 86
- Computational Mathematics 16
- Computer Vision and Pattern Recognition 342
- Media Technology 126
- Artificial Intelligence 223
- Urban Studies 25
Countries citing papers authored by Junqian Wang
This map shows the geographic impact of Junqian 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 Junqian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqian Wang more than expected).
Fields of papers citing papers by Junqian Wang
This network shows the impact of papers produced by Junqian 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 Junqian Wang. The network helps show where Junqian Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junqian 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 | 175 | |
| 2 | 2019 | 133 | |
| 3 | 2019 | 76 | |
| 4 | 2019 | 66 | |
| 5 | 2016 | 21 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 15 | |
| 8 | 2023 | 8 | |
| 9 | 2024 | 5 | |
| 10 | 2019 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2020 | 0 |
About Junqian Wang
Junqian Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials, having authored 16 papers that have together received 533 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Face and Expression Recognition (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), COVID-19 diagnosis using AI (2 papers), Lubricants and Their Additives (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Computer Vision and Pattern Recognition (342 citations), Media Technology (126 citations), Artificial Intelligence (223 citations) and Urban Studies (25 citations). Junqian Wang has collaborated with scholars based in China, Macao and Sweden. Frequent co-authors include Yong Xu, Jie Wen, Lunke Fei, Bob Zhang, Ke Yan, Zheng Zhang, Chunwei Tian, Nan Luo, Zhongwei Cui and Yong Zhao. Their work appears in journals such as CAAI Transactions on Intelligence Technology, Pattern Recognition Letters, Sensors, The Journal of Engineering and Measurement Science and Technology.
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.