Jiachun Liao
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Lalitha SankarFlávio P. CalmonOliver KosutVincent Y. F. TanPeter KairouzChong HuangPanpan TangYang Liu
- Topics
- Privacy-Preserving Technologies in Data (9 papers)Wireless Communication Security Techniques (8 papers)Cryptography and Data Security (5 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Information Forensics and SecurityApplied Sciences
- Partner nations
- United StatesSingaporeMexico
In The Last Decade
Jiachun Liao
13 papers receiving 230 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 178
- Electrical and Electronic Engineering 76
- Computer Networks and Communications 46
- Sociology and Political Science 20
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Jiachun Liao
This map shows the geographic impact of Jiachun Liao'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 Jiachun Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiachun Liao more than expected).
Fields of papers citing papers by Jiachun Liao
This network shows the impact of papers produced by Jiachun Liao. 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 Jiachun Liao. The network helps show where Jiachun Liao may publish in the future.
Co-authorship network of co-authors of Jiachun Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Jiachun Liao. A scholar is included among the top collaborators of Jiachun Liao 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 Jiachun Liao. Jiachun Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | Censored and Fair Universal Representations using Generative Adversarial Models | 7 |
| 8 | 67 | |
| 9 | 26 | |
| 10 | 10 | |
| 11 | 34 | |
| 12 | 30 | |
| 13 | 12 |
About Jiachun Liao
Jiachun Liao is a scholar working on Artificial Intelligence, Safety Research and Media Technology, having authored 13 papers that have together received 236 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Wireless Communication Security Techniques (8 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Artificial Intelligence (178 citations), Computer Science Applications (12 citations) and Computer Networks and Communications (46 citations). Jiachun Liao has collaborated with scholars based in United States, Singapore and Mexico. Frequent co-authors include Lalitha Sankar, Flávio P. Calmon, Oliver Kosut, Vincent Y. F. Tan, Peter Kairouz, Chong Huang, Panpan Tang, Yang Liu, Xuepeng Zhang and Tong Yu. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Information Forensics and Security and Applied Sciences.
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.