Kai‐Kuang Ma

8.1k total citations · 2 hit papers
177 papers, 4.5k citations indexed

About

Kai‐Kuang Ma is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Kai‐Kuang Ma has authored 177 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Computer Vision and Pattern Recognition, 57 papers in Signal Processing and 33 papers in Media Technology. Recurrent topics in Kai‐Kuang Ma's work include Advanced Vision and Imaging (49 papers), Advanced Image Processing Techniques (45 papers) and Video Coding and Compression Technologies (40 papers). Kai‐Kuang Ma is often cited by papers focused on Advanced Vision and Imaging (49 papers), Advanced Image Processing Techniques (45 papers) and Video Coding and Compression Technologies (40 papers). Kai‐Kuang Ma collaborates with scholars based in Singapore, China and United States. Kai‐Kuang Ma's co-authors include Shiping Zhu, Yao Nie, Huanqiang Zeng, Tao Chen, Lihui Chen, Jing Tian, Turgay Çelik, Ju Han, Ju Han and Canhui Cai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Kai‐Kuang Ma

172 papers receiving 4.2k citations

Hit Papers

Adaptive rood pattern search for fast block-matching moti... 2002 2026 2010 2018 2002 2023 100 200 300
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. Adaptive rood pattern search for fast block-matching motion estimation
    2002 397 citations Yao Nie, Kai‐Kuang Ma IEEE Transactions on Image Processing profile →
  2. Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances
    2023 152 citations Kai‐Kuang Ma et al. profile →

Peers

Kai‐Kuang Ma
Hongliang Li China
Sung-Jea Ko South Korea
Rae‐Hong Park South Korea
Terence Sim Singapore
Y. Altunbasak United States
Qingmin Liao China
Wei Jia China
Janusz Konrad United States
P.M.S. Burt Brazil
Xiaoyan Sun China
Hongliang Li China
Kai‐Kuang Ma
Citations per year, relative to Kai‐Kuang Ma Kai‐Kuang Ma (= 1×) peers Hongliang Li

Countries citing papers authored by Kai‐Kuang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Kuang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Kuang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Kuang Ma. A scholar is included among the top collaborators of Kai‐Kuang 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 Kai‐Kuang Ma. Kai‐Kuang 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.
Zhang, J., Baojiang Zhong, & Kai‐Kuang Ma. (2025). Lightweight Single Image Super-Resolution With High-Continuity Attention. IEEE Signal Processing Letters. 32. 2614–2618.
2.
Zhong, Baojiang, et al.. (2025). Cognitive Contour Detection of Sparse-Structured Objects in the Alpha-Shape Scale Space. IEEE Transactions on Image Processing. 34. 4955–4967. 1 indexed citations
3.
Xu, Fan, et al.. (2025). Highway Camera Calibration and Vehicle Speed Estimation Using Multilayered Lane-Line Keypoints. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.
4.
Ai, Zhilong, Yuying Liang, Yong Li, et al.. (2024). Clinical value of deep learning image reconstruction on the diagnosis of pulmonary nodule for ultra-low-dose chest CT imaging. Clinical Radiology. 79(8). 628–636. 3 indexed citations
5.
Zhong, Baojiang, et al.. (2024). Anisotropic Scale-Invariant Ellipse Detection. IEEE Transactions on Image Processing. 33. 3161–3173. 2 indexed citations
6.
Zhong, Baojiang, et al.. (2024). A Channel-Wise Multi-Scale Network for Single Image Super-Resolution. IEEE Signal Processing Letters. 31. 805–809. 5 indexed citations
7.
Zeng, Huanqiang, et al.. (2024). Width-Adaptive CNN: Fast CU Partition Prediction for VVC Screen Content Coding. IEEE Transactions on Multimedia. 26. 9372–9382. 4 indexed citations
8.
Ju, Mingye, et al.. (2024). All-Inclusive Image Enhancement for Degraded Images Exhibiting Low-Frequency Corruption. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 838–856. 5 indexed citations
9.
Sun, Xun, Baojiang Zhong, Jianyu Yang, & Kai‐Kuang Ma. (2023). Corner Detection via Scale-Space Behavior-Guided Trajectory Tracing. IEEE Signal Processing Letters. 30. 50–54. 5 indexed citations
10.
Sun, Xun, Baojiang Zhong, Dongqing Li, & Kai‐Kuang Ma. (2023). On the generalized k-cosine arithmetic-mean curvature for multi-scale corner detection. Expert Systems with Applications. 231. 120685–120685. 1 indexed citations
11.
Zhong, Baojiang, et al.. (2023). Contrast-Guided Line Segment Detection. IEEE Signal Processing Letters. 31. 281–285. 1 indexed citations
12.
Zhao, Lili, et al.. (2022). Real-Time Scene-Aware LiDAR Point Cloud Compression Using Semantic Prior Representation. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5623–5637. 26 indexed citations
13.
Zhong, Baojiang, et al.. (2022). A Direction-Decoupled Non-Local Attention Network for Single Image Super-Resolution. IEEE Signal Processing Letters. 29. 2218–2222. 11 indexed citations
14.
Zhao, Lili, et al.. (2022). Real-Time LiDAR Point Cloud Compression Using Bi-Directional Prediction and Range-Adaptive Floating-Point Coding. IEEE Transactions on Broadcasting. 68(3). 620–635. 10 indexed citations
15.
Zhong, Baojiang, et al.. (2021). Single Image Super-Resolution Using Asynchronous Multi-Scale Network. IEEE Signal Processing Letters. 28. 1823–1827. 10 indexed citations
16.
Zhong, Baojiang, et al.. (2020). Image Interpolation Using Multi-Scale Attention-Aware Inception Network. IEEE Transactions on Image Processing. 29. 9413–9428. 18 indexed citations
17.
Ni, Zhangkai, Kai‐Kuang Ma, Huanqiang Zeng, & Baojiang Zhong. (2020). Color Image Demosaicing Using Progressive Collaborative Representation. IEEE Transactions on Image Processing. 29. 4952–4964. 14 indexed citations
18.
Zhong, Baojiang, et al.. (2019). Predictor-corrector image interpolation. Journal of Visual Communication and Image Representation. 61. 50–60. 6 indexed citations
19.
Gan, Tong J., Lu Gan, & Kai‐Kuang Ma. (2006). Reducing video-quality fluctuations for streaming scalable video using unequal error protection, retransmission, and interleaving. IEEE Transactions on Image Processing. 15(4). 819–832. 19 indexed citations
20.
Nie, Yao & Kai‐Kuang Ma. (2002). Adaptive rood pattern search for fast block-matching motion estimation. IEEE Transactions on Image Processing. 11(12). 1442–1449. 397 indexed citations breakdown →

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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