Chang‐Tsun Li

5.1k total citations
206 papers, 3.2k citations indexed

About

Chang‐Tsun Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Chang‐Tsun Li has authored 206 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Computer Vision and Pattern Recognition, 44 papers in Artificial Intelligence and 27 papers in Biomedical Engineering. Recurrent topics in Chang‐Tsun Li's work include Digital Media Forensic Detection (92 papers), Advanced Steganography and Watermarking Techniques (78 papers) and Chaos-based Image/Signal Encryption (31 papers). Chang‐Tsun Li is often cited by papers focused on Digital Media Forensic Detection (92 papers), Advanced Steganography and Watermarking Techniques (78 papers) and Chaos-based Image/Signal Encryption (31 papers). Chang‐Tsun Li collaborates with scholars based in United Kingdom, Australia and China. Chang‐Tsun Li's co-authors include Víctor Sánchez, Xufeng Lin, Yu Guan, Yongjian Hu, Chia‐Hung Wei, Yue Li, Ching‐Chun Chang, R. Wilson, Fabio Roli and Xingjie Wei and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chang‐Tsun Li

198 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang‐Tsun Li United Kingdom 28 2.7k 628 437 365 315 206 3.2k
Qing Guo China 23 1.7k 0.7× 580 0.9× 190 0.4× 123 0.3× 147 0.5× 119 2.3k
Zhe‐Ming Lu China 30 2.8k 1.0× 289 0.5× 225 0.5× 56 0.2× 456 1.4× 263 3.8k
Zhihui Lai China 35 2.4k 0.9× 942 1.5× 667 1.5× 184 0.5× 385 1.2× 130 3.4k
Shiyu Chang United States 34 2.2k 0.8× 1.9k 3.0× 367 0.8× 360 1.0× 300 1.0× 110 3.8k
Kin‐Choong Yow Canada 26 757 0.3× 529 0.8× 115 0.3× 56 0.2× 132 0.4× 88 1.7k
Fatih Kurugöllü United Kingdom 21 875 0.3× 441 0.7× 151 0.3× 82 0.2× 307 1.0× 110 1.7k
Cor J. Veenman Netherlands 15 1.1k 0.4× 635 1.0× 202 0.5× 56 0.2× 169 0.5× 45 1.7k
Banshidhar Majhi India 31 1.8k 0.7× 1.3k 2.0× 374 0.9× 161 0.4× 503 1.6× 189 3.3k
Richard Zhang United States 23 2.3k 0.9× 779 1.2× 159 0.4× 48 0.1× 164 0.5× 51 3.0k

Countries citing papers authored by Chang‐Tsun Li

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Tsun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Tsun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Tsun Li. A scholar is included among the top collaborators of Chang‐Tsun 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 Chang‐Tsun Li. Chang‐Tsun 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.
Li, Jicheng, et al.. (2025). Deepfake detection with domain generalization and mask-guided supervision. Pattern Recognition. 165. 111622–111622. 2 indexed citations
2.
Xu, Chenhao, Chang‐Tsun Li, Yongjian Hu, Chee Peng Lim, & Douglas Creighton. (2025). Deep learning techniques for Video Instance Segmentation: A survey. Pattern Recognition. 167. 111763–111763. 2 indexed citations
3.
4.
Sánchez, Víctor, et al.. (2025). From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning. IEEE Transactions on Information Forensics and Security. 20. 8525–8540.
5.
Sánchez, Víctor, et al.. (2024). Cross-Age Contrastive Learning for Age-Invariant Face Recognition. Warwick Research Archive Portal (University of Warwick). 4600–4604. 4 indexed citations
6.
Li, Chang‐Tsun, et al.. (2024). JRC: Deepfake detection via joint reconstruction and classification. Neurocomputing. 598. 127862–127862. 7 indexed citations
7.
Sánchez, Víctor, et al.. (2024). Specific event detection for video surveillance using variational Bayesian inference. Neurocomputing. 603. 128291–128291. 2 indexed citations
8.
9.
Hu, Yongjian, et al.. (2024). Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake Detection. IEEE Transactions on Information Forensics and Security. 19. 8414–8427. 5 indexed citations
10.
Hu, Yongjian, et al.. (2023). Learnable Information-Preserving Image Resizer for Face Forgery Detection. IEEE Signal Processing Letters. 30. 1657–1661. 2 indexed citations
11.
Jiang, Richard, Ce Zhang, Bryan M. Williams, et al.. (2022). Robust Brain Age Estimation Based on sMRI via Nonlinear Age-Adaptive Ensemble Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 2146–2156. 11 indexed citations
12.
Zhang, Li, et al.. (2022). Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection. Remote Sensing. 14(15). 3680–3680. 24 indexed citations
13.
Wang, Yunpeng, et al.. (2022). Delve Into Neural Activations: Toward Understanding Dying Neurons. IEEE Transactions on Artificial Intelligence. 4(4). 959–971. 4 indexed citations
14.
Lin, Xufeng, Chang‐Tsun Li, Víctor Sánchez, & Carsten Maple. (2021). On the detection-to-track association for online multi-object tracking. Pattern Recognition Letters. 146. 200–207. 34 indexed citations
15.
Liu, Beibei, et al.. (2019). Auto-Zooming CNN-Based Framework for Real-Time Pedestrian Detection in Outdoor Surveillance Videos. IEEE Access. 7. 105816–105826. 20 indexed citations
16.
Li, Chang‐Tsun, et al.. (2014). Digital Forensic Readiness: Are We There Yet?. Warwick Research Archive Portal (University of Warwick). 9(3). 173–179. 17 indexed citations
17.
Hu, Yongjian, et al.. (2014). Fast source camera identification using matching signs between query and reference fingerprints. Multimedia Tools and Applications. 74(18). 7405–7428. 12 indexed citations
18.
Li, Chang‐Tsun, et al.. (2012). On the Repudiability of Device Identification and Image Integrity Verification Using Sensor Pattern Noise. Figshare. 1 indexed citations
19.
Yao, Yi & Chang‐Tsun Li. (2012). Hand posture recognition using SURF with adaptive boosting. Warwick Research Archive Portal (University of Warwick). 1–10. 6 indexed citations
20.
Peng, Fei, et al.. (2010). A semi-fragile watermarking algorithm for authenticating 2D CAD engineering graphics based on log-polar transformation. Computer-Aided Design. 42(12). 1207–1216. 30 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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