Jen-Chun Chang
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Co-authors
- Rong-Jaye ChenTorleiv KløveShi‐Chun TsaiF. K. HwangChin‐Ling ChenWoei-Jiunn TsaurShiuh-Jeng WangWen‐Dar Lin
- Topics
- Coding theory and cryptography (7 papers)graph theory and CDMA systems (6 papers)Advanced Steganography and Watermarking Techniques (4 papers)
In The Last Decade
Jen-Chun Chang
23 papers receiving 260 citations
Peers
Comparison fields: 5 of 40
- Electrical and Electronic Engineering 99
- Computer Networks and Communications 87
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 63
- Information Systems 43
Countries citing papers authored by Jen-Chun Chang
This map shows the geographic impact of Jen-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 Jen-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 Jen-Chun Chang more than expected).
Fields of papers citing papers by Jen-Chun Chang
This network shows the impact of papers produced by Jen-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 Jen-Chun Chang. The network helps show where Jen-Chun Chang may publish in the future.
Co-authorship network of co-authors of Jen-Chun Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Jen-Chun Chang. A scholar is included among the top collaborators of Jen-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 Jen-Chun Chang. Jen-Chun 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 | 1 | |
| 2 | 23 | |
| 3 | The Log-Rank Conjecture for Read- k XOR Functions. | 2 |
| 4 | 21 | |
| 5 | On Constant-Time-Identification and Privacy-Preserving RFID Protocols: Trade-Off Between Time and Memory. | 1 |
| 6 | 54 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 44 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | 27 |
About Jen-Chun Chang
Jen-Chun Chang is a scholar working on Media Technology, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 23 papers that have together received 270 indexed citations. Recurring topics across this work include Coding theory and cryptography (7 papers), graph theory and CDMA systems (6 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Software (16 citations), Computer Networks and Communications (87 citations) and Statistics, Probability and Uncertainty (26 citations). Jen-Chun Chang has collaborated with scholars based in Taiwan, China and Norway. Frequent co-authors include Rong-Jaye Chen, Torleiv Kløve, Shi‐Chun Tsai, F. K. Hwang, Chin‐Ling Chen, Woei-Jiunn Tsaur, Shiuh-Jeng Wang, Wen‐Dar Lin, Lirong Cui and Frank K. Hwang. Their work appears in journals such as IEEE Transactions on Information Theory, Sensors and Signal Processing.
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.