Kailin Tan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Topics
- Error Correcting Code Techniques (5 papers)Advanced Wireless Communication Techniques (5 papers)Wireless Signal Modulation Classification (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on Cognitive Communications and NetworkingGLOBECOM 2022 - 2022 IEEE Global Communications Conference
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kailin Tan
9 papers receiving 368 citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 144
- Computer Vision and Pattern Recognition 125
- Electrical and Electronic Engineering 120
- Computer Networks and Communications 104
- Signal Processing 48
Countries citing papers authored by Kailin Tan
This map shows the geographic impact of Kailin Tan'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 Kailin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailin Tan more than expected).
Fields of papers citing papers by Kailin Tan
This network shows the impact of papers produced by Kailin Tan. 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 Kailin Tan. The network helps show where Kailin Tan may publish in the future.
Co-authorship network of co-authors of Kailin Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Kailin Tan. A scholar is included among the top collaborators of Kailin Tan 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 Kailin Tan. Kailin Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | 3 | |
| 5 | WITT: A Wireless Image Transmission Transformer for Semantic Communicationsbreakdown → | 97 |
| 6 | Nonlinear Transform Source-Channel Coding for Semantic Communicationsbreakdown → | 191 |
| 7 | 2 | |
| 8 | 45 | |
| 9 | 0 | |
| 10 | 5 |
About Kailin Tan
Kailin Tan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 10 papers that have together received 372 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (5 papers), Advanced Wireless Communication Techniques (5 papers) and Wireless Signal Modulation Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Computer Networks and Communications (104 citations) and Artificial Intelligence (144 citations). Kailin Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jincheng Dai, Kai Niu, Sixian Wang, Ping Zhang, Zhongwei Si, Xiaoqi Qin, Ke Yang, Mingzhe Chen, Shuguang Cui and H. Vincent Poor. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Cognitive Communications and Networking and GLOBECOM 2022 - 2022 IEEE Global Communications Conference.
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.