Chi‐Man Pun

8.4k total citations · 2 hit papers
302 papers, 5.7k citations indexed

About

Chi‐Man Pun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chi‐Man Pun has authored 302 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 239 papers in Computer Vision and Pattern Recognition, 76 papers in Artificial Intelligence and 59 papers in Media Technology. Recurrent topics in Chi‐Man Pun's work include Digital Media Forensic Detection (63 papers), Advanced Steganography and Watermarking Techniques (57 papers) and Advanced Image and Video Retrieval Techniques (48 papers). Chi‐Man Pun is often cited by papers focused on Digital Media Forensic Detection (63 papers), Advanced Steganography and Watermarking Techniques (57 papers) and Advanced Image and Video Retrieval Techniques (48 papers). Chi‐Man Pun collaborates with scholars based in Macao, China and Hong Kong. Chi‐Man Pun's co-authors include C. L. Philip Chen, Xiaochen Yuan, Yicong Zhou, Zhongyun Hua, Cheng Shi, Xiuli Bi, Xiaodong Cun, Hao Gao, Bo Liu and Guo Zhong 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

Chi‐Man Pun

276 papers receiving 5.5k citations

Hit Papers

2D Sine Logistic modulation map for image encryption 2014 2026 2018 2022 2014 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi‐Man Pun Macao 36 4.4k 1.2k 1.2k 367 318 302 5.7k
Zongben Xu China 32 2.5k 0.6× 1.4k 1.2× 1.4k 1.2× 238 0.6× 129 0.4× 117 4.9k
Guojun Lu Australia 34 5.4k 1.2× 941 0.8× 804 0.7× 156 0.4× 43 0.1× 209 6.9k
Francis Bach France 15 3.9k 0.9× 1.3k 1.1× 1.2k 1.0× 140 0.4× 77 0.2× 23 6.1k
Yide Ma China 31 1.9k 0.4× 1.2k 1.0× 984 0.8× 60 0.2× 88 0.3× 182 3.4k
Sebastian Nowozin United Kingdom 34 2.7k 0.6× 435 0.4× 1.7k 1.5× 194 0.5× 92 0.3× 77 4.4k
Longin Jan Latecki United States 43 5.4k 1.2× 449 0.4× 1.5k 1.2× 213 0.6× 95 0.3× 212 7.0k
Ahmed Bouridane United Kingdom 35 3.1k 0.7× 538 0.4× 1.4k 1.2× 215 0.6× 87 0.3× 426 5.4k
Xiaonan Luo China 33 2.0k 0.5× 493 0.4× 1.1k 0.9× 356 1.0× 98 0.3× 344 4.5k
Feilong Cao China 30 1.2k 0.3× 464 0.4× 1.3k 1.1× 93 0.3× 148 0.5× 190 2.9k
Balasubramanian Raman India 39 3.7k 0.8× 632 0.5× 1.1k 1.0× 78 0.2× 54 0.2× 270 5.7k

Countries citing papers authored by Chi‐Man Pun

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Man Pun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Man Pun. 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 Chi‐Man Pun. The network helps show where Chi‐Man Pun may publish in the future.

Co-authorship network of co-authors of Chi‐Man Pun

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Man Pun. A scholar is included among the top collaborators of Chi‐Man Pun 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 Chi‐Man Pun. Chi‐Man Pun 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.
Huang, Guoheng, Ming Li, Xiaochen Yuan, et al.. (2025). SFCANet: Channel Attention in Spatial-Frequency Domain for Infrared Small Target Detection. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 13363–13379. 2 indexed citations
2.
Ling, Bingo Wing‐Kuen, Chi‐Man Pun, Guoheng Huang, et al.. (2025). DPPAD-IE: Dynamic Polyhedra Permutating and Arnold Diffusing Medical Image Encryption Using 2D Cross Gaussian Hyperchaotic Map. IEEE Transactions on Consumer Electronics. 71(2). 2466–2482. 4 indexed citations
4.
Huang, Guoheng, et al.. (2025). Multiscale Frequency-Guided Image Analyses for Mixed-Modality Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.
5.
Chen, Xuhang, et al.. (2024). Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4000–4008. 19 indexed citations
6.
Pun, Chi‐Man, et al.. (2024). Efficient physical image attacks using adversarial fast autoaugmentation methods. Knowledge-Based Systems. 304. 112576–112576.
7.
Zhang, Xuemin, et al.. (2024). PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7597–7604. 6 indexed citations
8.
Gao, Liqing, et al.. (2024). COMMA: Co-articulated Multi-Modal Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2238–2246. 1 indexed citations
9.
Huang, Guoheng, et al.. (2024). Black-box reversible adversarial examples with invertible neural network. Image and Vision Computing. 147. 105094–105094. 2 indexed citations
10.
Xia, Menghan, et al.. (2024). Sketch Video Synthesis. Computer Graphics Forum. 43(2).
11.
Huang, Guoheng, Xiaochen Yuan, Guo Zhong, et al.. (2024). The Structure-sharing Hypergraph Reasoning Attention Module for CNNs. Expert Systems with Applications. 259. 125240–125240.
12.
Zhong, Guo & Chi‐Man Pun. (2023). Self-taught Multi-view Spectral Clustering. Pattern Recognition. 138. 109349–109349. 35 indexed citations
13.
Pun, Chi‐Man, et al.. (2023). An artificial bee colony algorithm with a balance strategy for wireless sensor network. Applied Soft Computing. 136. 110083–110083. 9 indexed citations
14.
Liu, Weihuang, Xiaodong Cun, Chi‐Man Pun, et al.. (2023). CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1746–1754. 27 indexed citations
15.
Zhong, Guo & Chi‐Man Pun. (2023). Simultaneous Laplacian embedding and subspace clustering for incomplete multi-view data. Knowledge-Based Systems. 262. 110244–110244. 15 indexed citations
16.
Huang, Guoheng, et al.. (2023). Progressive normalizing flow with learnable spectrum transform for style transfer. Knowledge-Based Systems. 284. 111277–111277. 3 indexed citations
17.
Shi, Cheng, Ying Liu, Minghua Zhao, Chi‐Man Pun, & Qiguang Miao. (2023). Attack-invariant attention feature for adversarial defense in hyperspectral image classification. Pattern Recognition. 145. 109955–109955. 17 indexed citations
18.
Cheng, Lianglun, Guoheng Huang, Xiaochen Yuan, et al.. (2023). Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification. IEEE Transactions on Medical Imaging. 43(2). 625–637. 7 indexed citations
19.
Pun, Chi‐Man & Hongmin Zhu. (2009). Textural image segmentation using discrete cosine transform. International Conference on Communications. 267(16). 54–58. 12 indexed citations
20.
Pun, Chi‐Man, et al.. (2009). Shape classification using simplification and tangent function. 42(3). 261–266. 2 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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