Mading Li

2.0k total citations · 1 hit paper
23 papers, 1.3k citations indexed

About

Mading Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Mading Li has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Signal Processing. Recurrent topics in Mading Li's work include Advanced Image Processing Techniques (17 papers), Image and Signal Denoising Methods (10 papers) and Advanced Vision and Imaging (8 papers). Mading Li is often cited by papers focused on Advanced Image Processing Techniques (17 papers), Image and Signal Denoising Methods (10 papers) and Advanced Vision and Imaging (8 papers). Mading Li collaborates with scholars based in China, United States and Canada. Mading Li's co-authors include Jiaying Liu, Zongming Guo, Wenhan Yang, Xiaoyan Sun, Wen-Huang Cheng, Jie Ren, Yueyu Hu, Ming Sun, Xing Wen and Sifeng Xia and has published in prestigious journals such as IEEE Transactions on Image Processing, Information Sciences and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Mading Li

22 papers receiving 1.3k citations

Hit Papers

Structure-Revealing Low-Light Image Enhancement Via Robus... 2018 2026 2020 2023 2018 250 500 750
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. Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model
    2018 837 citations Mading Li, Jiaying Liu et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mading Li China 11 1.3k 592 87 78 56 23 1.3k
Zhangkai Ni China 15 713 0.6× 232 0.4× 75 0.9× 70 0.9× 47 0.8× 33 811
Eduardo S. L. Gastal Brazil 9 1.2k 0.9× 517 0.9× 23 0.3× 77 1.0× 58 1.0× 18 1.4k
Hojatollah Yeganeh Canada 12 1.2k 0.9× 628 1.1× 65 0.7× 201 2.6× 81 1.4× 24 1.3k
Yeong-Taeg Kim South Korea 5 1.2k 0.9× 565 1.0× 43 0.5× 164 2.1× 51 0.9× 7 1.3k
Weixia Zhang China 9 865 0.7× 441 0.7× 35 0.4× 30 0.4× 28 0.5× 22 1.0k
Seoung Wug Oh United States 13 982 0.8× 246 0.4× 19 0.2× 70 0.9× 28 0.5× 22 1.1k
Chen Gao United States 8 1.4k 1.1× 566 1.0× 23 0.3× 109 1.4× 62 1.1× 18 1.4k
Muhammad Haris Japan 8 1.5k 1.2× 869 1.5× 34 0.4× 16 0.2× 52 0.9× 18 1.6k
Alex Rav-Acha Israel 16 1.5k 1.2× 297 0.5× 133 1.5× 29 0.4× 24 0.4× 24 1.5k

Countries citing papers authored by Mading Li

Since Specialization
Citations

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

Fields of papers citing papers by Mading Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mading Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mading Li. A scholar is included among the top collaborators of Mading Li 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 Mading Li. Mading Li 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.
2.
Zhao, Kai, Kun Yuan, Ming Sun, Mading Li, & Xing Wen. (2023). Quality-aware Pretrained Models for Blind Image Quality Assessment. 22302–22313. 43 indexed citations
3.
Ding, Yukang, et al.. (2023). Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution. 12183–12192. 12 indexed citations
4.
Chen, Li, et al.. (2022). SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3719–3728. 1 indexed citations
5.
Zhang, Mingrui, et al.. (2022). Aesthetic Photo Collage With Deep Reinforcement Learning. IEEE Transactions on Multimedia. 25. 4653–4664. 1 indexed citations
6.
Zheng, Yunfei, et al.. (2020). No-Reference Nonuniform Distorted Video Quality Assessment Based on Deep Multiple Instance Learning. IEEE Multimedia. 28(1). 28–37. 1 indexed citations
7.
Li, Mading, Jiaying Liu, Xiaoyan Sun, & Zhiwei Xiong. (2019). Image/Video Restoration via Multiplanar Autoregressive Model and Low-Rank Optimization. ACM Transactions on Multimedia Computing Communications and Applications. 15(4). 1–23. 14 indexed citations
8.
Hu, Yueyu, Wenhan Yang, Mading Li, & Jiaying Liu. (2019). Progressive Spatial Recurrent Neural Network for Intra Prediction. IEEE Transactions on Multimedia. 21(12). 3024–3037. 47 indexed citations
9.
Li, Mading, et al.. (2018). Joint Enhancement and Denoising Method via Sequential Decomposition. 1–5. 171 indexed citations
10.
Liu, Jiaying, Sifeng Xia, Wenhan Yang, Mading Li, & Dong Liu. (2018). One-for-All: Grouped Variation Network-Based Fractional Interpolation in Video Coding. IEEE Transactions on Image Processing. 28(5). 2140–2151. 50 indexed citations
11.
Li, Mading, Jiaying Liu, Wenhan Yang, Xiaoyan Sun, & Zongming Guo. (2018). Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model. IEEE Transactions on Image Processing. 27(6). 2828–2841. 837 indexed citations breakdown →
12.
Yang, Wenhan, Jiaying Liu, Mading Li, & Zongming Guo. (2016). Isophote-Constrained Autoregressive Model With Adaptive Window Extension for Image Interpolation. IEEE Transactions on Circuits and Systems for Video Technology. 28(5). 1071–1086. 16 indexed citations
13.
Yang, Shuai, et al.. (2016). Structure-guided image completion via regularity statistics. 110. 1711–1715. 4 indexed citations
14.
Li, Mading, Jiaying Liu, Jie Ren, & Zongming Guo. (2014). Patch-based image deblocking using geodesic distance weighted low-rank approximation. 22. 101–104. 10 indexed citations
15.
Yang, Wenhan, Jiaying Liu, Mading Li, & Zongming Guo. (2014). General scale interpolation based on fine-grained isophote model with consistency constraint. 10. 1857–1861. 3 indexed citations
16.
Li, Mading, et al.. (2014). Adaptive General Scale Interpolation Based on Weighted Autoregressive Models. IEEE Transactions on Circuits and Systems for Video Technology. 25(2). 200–211. 18 indexed citations
17.
Zhang, Yongqin, Jiaying Liu, Mading Li, & Zongming Guo. (2014). BSIK-SVD: A dictionary-learning algorithm for block-sparse representations. 22. 3528–3532. 3 indexed citations
18.
Liu, Jiaying, et al.. (2013). Joint image denoising using adaptive principal component analysis and self-similarity. Information Sciences. 259. 128–141. 45 indexed citations
19.
Ren, Jie, Jiaying Liu, Mading Li, & Zongming Guo. (2013). Postprocessing of block-coded videos for deflicker and deblocking. pp. 1631–1635. 4 indexed citations
20.
Zhuo, Yue, Jiaying Liu, Mading Li, & Zongming Guo. (2012). Super resolution with edge-constrained motion estimation. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4.

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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