Siwei Ma

15.8k citations
525 papers · 10.6k indexed · 2 hit papers · h-index 48

Siwei Ma

480 papers receiving 10.3k citations

Hit Papers

Pre-Trained Image Processing Transformer1.3k20192026202120234008001.2k

Peers

Siwei Ma
Comparison fields: 5 of 154
  • Computer Vision and Pattern Recognition 9.0k
  • Signal Processing 3.5k
  • Media Technology 1.9k
  • Computer Graphics and Computer-Aided Design 187
  • Computational Mechanics 871
Replace Shiqi Wang with:
Shiqi Wang China
Zhenan Sun China
Ran He China
Chia‐Wen Lin Taiwan
Lin Zhang China
M. Ghanbari United Kingdom
Alex C. Kot Singapore
Jianzhuang Liu China
Wen Gao China
Chang‐Su Kim South Korea
Siwei Ma relative to Shiqi Wang China Shiqi Wang's profile →
Citations per field
00.5×1.5×2.3×
Shiqi Wang · 1×
Citations per year

Countries citing papers authored by Siwei Ma

Since Specialization
Citations

This map shows the geographic impact of Siwei Ma'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 Siwei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Ma more than expected).

Fields of papers citing papers by Siwei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siwei Ma. 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 Siwei Ma. The network helps show where Siwei Ma may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Siwei Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siwei Ma Line = papers co-authored together Siwei Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20240
5 20241
6 20243
7 20241
8 20240
9 202310
10 202217
11 202232
12 20223
13 20210
14 20217
15 202123
16 202067
17 201961
18 201958
19 201814
20 201722

About Siwei Ma

Siwei Ma is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 525 papers that have together received 10.6k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (229 papers), Advanced Vision and Imaging (198 papers), Advanced Image Processing Techniques (193 papers), Advanced Data Compression Techniques (140 papers), Image and Video Quality Assessment (131 papers), Image and Signal Denoising Methods (101 papers), Image Enhancement Techniques (49 papers) and Sparse and Compressive Sensing Techniques (33 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.0k citations), Signal Processing (3.5k citations) and Media Technology (1.9k citations). Siwei Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wen Gao, Shiqi Wang, Shanshe Wang, Xinfeng Zhang, Wen Gao, Debin Zhao, Ruiqin Xiong, Jian Zhang, Chuanmin Jia and Weisi Lin. 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, ACM Transactions on Multimedia Computing Communications and Applications and Journal of Visual Communication and Image Representation.

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.

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