Shiqi Wang
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image Processing Techniques
- Image and Video Quality Assessment
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
- Advanced Data Compression Techniques
- Media Technology top 0.05%
- Advanced Image Fusion Techniques
Papers in
-
- Advanced Image Processing Techniques 141
- Image and Video Quality Assessment 126
- Advanced Vision and Imaging 102
- Advanced Data Compression Techniques 75
- Image Enhancement Techniques 73
- Image and Signal Denoising Methods 43
- Visual Attention and Saliency Detection 42
-
- Video Coding and Compression Technologies 120
Shiqi Wang
442 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Computer Vision and Pattern Recognition 9.6k
- Media Technology 2.5k
- Signal Processing 2.5k
- Computer Graphics and Computer-Aided Design 215
- Artificial Intelligence 1.2k
Countries citing papers authored by Shiqi Wang
This map shows the geographic impact of Shiqi 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 Shiqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiqi Wang more than expected).
Fields of papers citing papers by Shiqi Wang
This network shows the impact of papers produced by Shiqi 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 Shiqi Wang. The network helps show where Shiqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiqi 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 22 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 28 | |
| 14 | 2021 | 25 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 28 | |
| 17 | 2020 | 3 | |
| 18 | 2019 | 86 | |
| 19 | 2019 | 18 | |
| 20 | 2018 | 55 |
About Shiqi Wang
Shiqi Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 484 papers that have together received 12.0k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (141 papers), Image and Video Quality Assessment (126 papers), Video Coding and Compression Technologies (120 papers), Advanced Vision and Imaging (102 papers), Advanced Data Compression Techniques (75 papers), Image Enhancement Techniques (73 papers), Image and Signal Denoising Methods (43 papers) and Visual Attention and Saliency Detection (42 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.6k citations), Media Technology (2.5k citations), Signal Processing (2.5k citations), Computer Graphics and Computer-Aided Design (215 citations) and Artificial Intelligence (1.2k citations). Shiqi Wang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Siwei Ma, Haoliang Li, Wenhan Yang, Weisi Lin, Alex C. Kot, Jiaying Liu, Xinfeng Zhang, Shanshe Wang, Wen Gao and Sam Kwong. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Multimedia.
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.