Ching‐Chun Chang

1.1k total citations
73 papers, 697 citations indexed

About

Ching‐Chun Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ching‐Chun Chang has authored 73 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Ching‐Chun Chang's work include Advanced Steganography and Watermarking Techniques (50 papers), Chaos-based Image/Signal Encryption (40 papers) and Digital Media Forensic Detection (30 papers). Ching‐Chun Chang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (50 papers), Chaos-based Image/Signal Encryption (40 papers) and Digital Media Forensic Detection (30 papers). Ching‐Chun Chang collaborates with scholars based in Taiwan, United Kingdom and China. Ching‐Chun Chang's co-authors include Chang‐Tsun Li, Yanjun Liu, Chin‐Chen Chang, Ji-Hwei Horng, Thai‐Son Nguyen, Yun-Qing Shi, Kaimeng Chen, Li Li, Isao Echizen and Ying‐Hsuan Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Ching‐Chun Chang

65 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Chun Chang Taiwan 15 488 108 73 56 40 73 697
Laxmi Gewali United States 11 181 0.4× 133 1.2× 73 1.0× 53 0.9× 88 2.2× 52 482
Yuan Tian China 16 229 0.5× 306 2.8× 46 0.6× 88 1.6× 69 1.7× 78 614
Siraj M. Khan Pakistan 9 365 0.7× 186 1.7× 29 0.4× 26 0.5× 38 0.9× 19 574
Cai Xu China 11 298 0.6× 299 2.8× 38 0.5× 67 1.2× 27 0.7× 30 550
Junbo Zhao China 6 236 0.5× 305 2.8× 31 0.4× 38 0.7× 45 1.1× 18 514
Hongbin Yu China 8 121 0.2× 162 1.5× 56 0.8× 45 0.8× 30 0.8× 24 351
Allam Mousa Palestinian Territory 12 122 0.3× 146 1.4× 40 0.5× 34 0.6× 73 1.8× 29 420
Shibao Zheng China 14 490 1.0× 267 2.5× 91 1.2× 80 1.4× 82 2.0× 74 664
Cina Motamed France 11 153 0.3× 134 1.2× 35 0.5× 62 1.1× 37 0.9× 53 305
Youngmin Kim South Korea 10 271 0.6× 71 0.7× 56 0.8× 23 0.4× 24 0.6× 46 446

Countries citing papers authored by Ching‐Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ching‐Chun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Chun Chang. A scholar is included among the top collaborators of Ching‐Chun Chang 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 Ching‐Chun Chang. Ching‐Chun Chang 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.
Hwang, Feng-Jang, et al.. (2025). Cluster-Granularity Spatiotemporal Transfer for Cross-Region Graph-Based Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 26(7). 10780–10794.
2.
Yang, Shilong, Lu Leng, Ching‐Chun Chang, & Chin‐Chen Chang. (2025). Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision. Applied Sciences. 15(3). 1142–1142.
3.
4.
Lin, Yijie, et al.. (2024). A side match oriented data hiding based on absolute moment block truncation encoding mechanism with reversibility. Multimedia Tools and Applications. 84(17). 18395–18417.
5.
Chang, Chin‐Chen, et al.. (2024). Hiding information in a reordered codebook using pairwise adjustments in codewords. 4–4. 1 indexed citations
6.
Hwang, Feng-Jang, et al.. (2024). Dynamic Spatiotemporal Straight-Flow Network for Efficient Learning and Accurate Forecasting in Traffic. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18899–18912. 1 indexed citations
7.
8.
Lin, Iuon‐Chang, et al.. (2024). Symmetry in Blockchain-Powered Secure Decentralized Data Storage: Mitigating Risks and Ensuring Confidentiality. Symmetry. 16(2). 147–147. 6 indexed citations
9.
Chen, Chi‐Hua, et al.. (2023). Metro Station functional clustering and dual-view recurrent graph convolutional network for metro passenger flow prediction. Expert Systems with Applications. 247. 122550–122550. 8 indexed citations
10.
Chen, Chi‐Hua, et al.. (2023). Multi-view spatiotemporal learning for traffic forecasting. Information Sciences. 657. 119868–119868. 6 indexed citations
11.
Chang, Ching‐Chun, et al.. (2023). Anti-Screenshot Watermarking Algorithm for Archival Image Based on Deep Learning Model. Entropy. 25(2). 288–288. 8 indexed citations
12.
Chang, Ching‐Chun, et al.. (2023). High-Capacity Imperceptible Data Hiding Using Permutation-Based Embedding Process for IoT Security. Electronics. 12(21). 4488–4488. 2 indexed citations
13.
Chang, Ching‐Chun, et al.. (2023). On the predictability in reversible steganography. Telecommunication Systems. 82(2). 301–313. 2 indexed citations
14.
Chang, Ching‐Chun, et al.. (2023). A Matrix Coding-Oriented Reversible Data Hiding Scheme Using Dual Digital Images. Mathematics. 12(1). 86–86. 4 indexed citations
15.
Chang, Ching‐Chun, et al.. (2022). Multi-Stage Generation of Tile Images Based on Generative Adversarial Network. IEEE Access. 10. 127502–127513. 4 indexed citations
16.
Chen, Chi‐Hua, et al.. (2022). Fast Spatiotemporal Learning Framework for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8606–8616. 7 indexed citations
17.
Lu, Jianfeng, Zhiwen Wang, Li Li, et al.. (2021). Towards High-Resolution Copy-Evident Ceramic Tiles: A Deep Learning Framework for Halftoning and Watermarking. Electronics. 10(15). 1833–1833. 2 indexed citations
18.
Li, Li, et al.. (2020). Reversible Data Hiding for Encrypted 3D Model Based on Prediction Error Expansion. Journal of Sensors. 2020. 1–14. 4 indexed citations
19.
Chang, Ching‐Chun, et al.. (2015). A Two Step Methodology for Inter-Plant Heat Integration Design. SHILAP Revista de lepidopterología. 3 indexed citations
20.
Ng, Yee‐Yung, et al.. (1992). Spurious Hyperchloremia and Decreased Anion Gap in a Patient with Dextromethorphan Bromide. American Journal of Nephrology. 12(4). 268–270. 27 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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