Long Ma

4.0k total citations · 3 hit papers
104 papers, 2.3k citations indexed

About

Long Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Long Ma has authored 104 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 23 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Long Ma's work include Image Enhancement Techniques (47 papers), Advanced Image Processing Techniques (30 papers) and Advanced Vision and Imaging (21 papers). Long Ma is often cited by papers focused on Image Enhancement Techniques (47 papers), Advanced Image Processing Techniques (30 papers) and Advanced Vision and Imaging (21 papers). Long Ma collaborates with scholars based in China, Japan and Australia. Long Ma's co-authors include Risheng Liu, Xin Fan, Zhongxuan Luo, Jiaao Zhang, Tengyu Ma, Zhongxuan Luo, Jinyuan Liu, Zhu Liu, Guanyao Wu and Wei Zhong and has published in prestigious journals such as Blood, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Long Ma

95 papers receiving 2.2k citations

Hit Papers

Retinex-inspired Unrolling with Cooperative Prior Archite... 2021 2026 2022 2024 2021 2022 2023 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
    2021 570 citations Risheng Liu, Long Ma et al. profile →
  2. Toward Fast, Flexible, and Robust Low-Light Image Enhancement
    2022 527 citations Long Ma, Tengyu Ma et al. profile →
  3. Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
    2023 147 citations Jinyuan Liu, Long Ma et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Long Ma China 21 1.8k 890 167 115 96 104 2.3k
Cheolkon Jung China 24 1.8k 1.0× 700 0.8× 157 0.9× 146 1.3× 80 0.8× 203 2.4k
Jingyun Liang Belgium 8 2.4k 1.3× 1.3k 1.4× 106 0.6× 250 2.2× 121 1.3× 10 2.9k
Kin Gwn Lore United States 12 1.2k 0.6× 523 0.6× 81 0.5× 118 1.0× 69 0.7× 19 1.5k
Zhihao Wang China 4 980 0.5× 553 0.6× 43 0.3× 100 0.9× 66 0.7× 7 1.3k
Matt Uyttendaele United States 24 3.4k 1.9× 1.2k 1.3× 436 2.6× 84 0.7× 103 1.1× 36 3.7k
Delu Zeng China 18 2.9k 1.6× 1.4k 1.6× 76 0.5× 140 1.2× 61 0.6× 67 3.2k
Tomáš Suk Czechia 21 1.9k 1.0× 504 0.6× 204 1.2× 98 0.9× 58 0.6× 56 2.5k
Jiwon Kim South Korea 4 4.4k 2.4× 2.7k 3.0× 102 0.6× 234 2.0× 163 1.7× 10 5.0k
Jianrui Cai Hong Kong 9 2.4k 1.3× 1.4k 1.5× 65 0.4× 112 1.0× 56 0.6× 9 2.6k

Countries citing papers authored by Long Ma

Since Specialization
Citations

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

Fields of papers citing papers by Long Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Long Ma. A scholar is included among the top collaborators of Long Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long Ma. Long Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xue, Xinwei, et al.. (2025). Crossing the Chasm: A practical architecture augmentation for low-quality object detection. Neurocomputing. 625. 129553–129553. 1 indexed citations
2.
3.
Ma, Long, Tengyu Ma, Jinyuan Liu, et al.. (2025). Learning With Self-Calibrator for Fast and Robust Low-Light Image Enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 9095–9112. 4 indexed citations
4.
Fang, Ting, Wensheng Liu, Jibin Xu, et al.. (2025). Applications of machine vision technology for conveyor belt deviation detection: A review and roadmap. Engineering Applications of Artificial Intelligence. 161. 112312–112312. 1 indexed citations
5.
Ma, Long, et al.. (2025). Striving for Faster and Better: A One-Layer Architecture With Auto Re-Parameterization for Low-Light Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7455–7470. 1 indexed citations
6.
7.
Xue, Xinwei, Jia He, Long Ma, et al.. (2024). ASF-Net: Robust video deraining via temporal alignment and online adaptive learning. Pattern Recognition. 158. 110973–110973. 1 indexed citations
8.
Ren, Zhiyuan, et al.. (2024). High-precision teeth reconstruction based on automatic multimodal fusion with CBCT and IOS. Computer Aided Geometric Design. 111. 102299–102299. 2 indexed citations
9.
Feng, Yuxin, et al.. (2024). Advancing Real-World Image Dehazing: Perspective, Modules, and Training. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9303–9320. 25 indexed citations
10.
Wang, Di, Jinyuan Liu, Long Ma, Risheng Liu, & Xin Fan. (2024). Improving Misaligned Multi-Modality Image Fusion With One-Stage Progressive Dense Registration. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 10944–10958. 29 indexed citations
11.
Feng, Yuxin, et al.. (2024). Bridging the Gap Between Haze Scenarios: A Unified Image Dehazing Model. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11070–11085. 21 indexed citations
12.
Ma, Long, Wenjing Jia, Chengqi Zhang, et al.. (2024). Seeing Text in the Dark: Algorithm and Benchmark. 2870–2878. 8 indexed citations
13.
Kane, William M., et al.. (2023). A Secured Image Communication With Dual Encryption and Reversible Watermarking. 277–285. 1 indexed citations
14.
Xue, Xinwei, et al.. (2023). Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement. IEEE Signal Processing Letters. 31. 6–10. 3 indexed citations
15.
16.
Ma, Long, Nan An, Jinyuan Liu, et al.. (2023). Bilevel Fast Scene Adaptation for Low-Light Image Enhancement. International Journal of Computer Vision. 133(11). 8234–8252. 55 indexed citations
17.
Liu, Risheng, et al.. (2018). A Bridging Framework for Model Optimization and Deep Propagation. Neural Information Processing Systems. 31. 4318–4327. 10 indexed citations
18.
Ma, Long. (2012). Data Envelopment Analysis-based efficiency analysis in 28 county-level hospitals in northern Xinjiang. 1 indexed citations
19.
Ma, Long, et al.. (2008). Optimization of technology for almond oil microencapsulation. Nongye gongcheng xuebao. 2008(9). 1 indexed citations
20.
Ma, Long. (2006). Fermentation optimization of mango vinegar by response surface methodology. China Brewing. 1 indexed citations

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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