Lin Ma
Impact in
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- Multimodal Machine Learning Applications
- Image and Video Quality Assessment
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Media Technology top 0.2%
- Advanced Image Fusion Techniques
Papers in
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- Image and Video Quality Assessment 46
- Multimodal Machine Learning Applications 32
- Advanced Image Processing Techniques 32
- Image Enhancement Techniques 29
- Visual Attention and Saliency Detection 27
- Advanced Image and Video Retrieval Techniques 25
Lin Ma
253 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 5.6k
- Media Technology 1.3k
- Safety, Risk, Reliability and Quality 448
- Artificial Intelligence 1.5k
- Signal Processing 447
Countries citing papers authored by Lin Ma
This map shows the geographic impact of Lin 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 Lin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ma more than expected).
Fields of papers citing papers by Lin Ma
This network shows the impact of papers produced by Lin 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 Lin Ma. The network helps show where Lin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Ma, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 102 | |
| 12 | Low-Light Image Enhancement via a Deep Hybrid Network Hit paper breakdown → | 2019 | 370 |
| 13 | Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation | 2018 | 43 |
| 14 | 2018 | 152 | |
| 15 | Self-Driving Database Management Systems. | 2017 | 130 |
| 16 | 2013 | 1 | |
| 17 | Video quality metric for consistent visual quality control in video coding | 2012 | 2 |
| 18 | A visual saliency modulated just noticeable distortion profile for image watermarking | 2011 | 5 |
| 19 | A review on degradation models in reliability analysis | 2010 | 1 |
| 20 | 2003 | 38 |
About Lin Ma
Lin Ma is a scholar working on Computer Vision and Pattern Recognition, Medical Laboratory Technology, Safety, Risk, Reliability and Quality, Media Technology and Signal Processing, having authored 270 papers that have together received 7.8k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (46 papers), Multimodal Machine Learning Applications (32 papers), Advanced Image Processing Techniques (32 papers), Image Enhancement Techniques (29 papers), Reliability and Maintenance Optimization (28 papers), Visual Attention and Saliency Detection (27 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Advanced Image Fusion Techniques (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.6k citations), Media Technology (1.3k citations), Safety, Risk, Reliability and Quality (448 citations), Artificial Intelligence (1.5k citations) and Signal Processing (447 citations). Lin Ma has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Wei Liu, King Ngi Ngan, Songnan Li, Wenhan Luo, Wenhao Jiang, Jingwen Wang, Zhangkai Ni, Zequn Jie, Wenqi Ren and Joseph Mathew. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, Reliability Engineering & System Safety and Neurocomputing.
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.