Chien-Ping Chang
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Media Technology top 2%
- Topics
- Interconnection Networks and Systems (9 papers)Advanced Steganography and Watermarking Techniques (7 papers)Digital Media Forensic Detection (7 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- TaiwanUnited StatesTürkiye
In The Last Decade
Chien-Ping Chang
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 552
- Computer Vision and Pattern Recognition 481
- Electrical and Electronic Engineering 300
- Hardware and Architecture 235
- Media Technology 147
Countries citing papers authored by Chien-Ping Chang
This map shows the geographic impact of Chien-Ping 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 Chien-Ping Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Ping Chang more than expected).
Fields of papers citing papers by Chien-Ping Chang
This network shows the impact of papers produced by Chien-Ping 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 Chien-Ping Chang. The network helps show where Chien-Ping Chang may publish in the future.
Co-authorship network of co-authors of Chien-Ping Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Ping Chang. A scholar is included among the top collaborators of Chien-Ping 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 Chien-Ping Chang. Chien-Ping Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 107 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 57 | |
| 5 | Dummy-Based Schemes for Protecting Movement Trajectories | 32 |
| 6 | 104 | |
| 7 | 12 | |
| 8 | 36 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 9 | |
| 13 | 123 | |
| 14 | 24 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 319 | |
| 19 | 5 | |
| 20 | Optimal k-fault-tolerant networks for token rings | 3 |
About Chien-Ping Chang
Chien-Ping Chang is a scholar working on Signal Processing, Hardware and Architecture and Media Technology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (9 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (7 papers). The work is most often cited by research in Hardware and Architecture (235 citations), Computer Networks and Communications (552 citations) and Computer Vision and Pattern Recognition (481 citations). Chien-Ping Chang has collaborated with scholars based in Taiwan, United States and Türkiye. Frequent co-authors include Lih‐Hsing Hsu, Pao-Lien Lai, Jen‐Chun Lee, J. Tan, Ko-Chin Chang, Te‐Ming Tu, Ping Huang, Ting‐Yi Sung, Lih-Hsing Hsu and Jimmy J.M. Tan. Their work appears in journals such as Sensors, Information Sciences and Thin Solid Films.
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.