Jincheng Dai
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Topics
- Advanced Wireless Communication Techniques (42 papers)Error Correcting Code Techniques (40 papers)Advanced Wireless Communication Technologies (25 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Signal ProcessingIEEE Communications Surveys & TutorialsOptics Letters
- Partner nations
- ChinaUnited KingdomBrazil
In The Last Decade
Jincheng Dai
91 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 805
- Computer Networks and Communications 478
- Artificial Intelligence 464
- Computer Vision and Pattern Recognition 283
- Signal Processing 109
Countries citing papers authored by Jincheng Dai
This map shows the geographic impact of Jincheng Dai'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 Jincheng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jincheng Dai more than expected).
Fields of papers citing papers by Jincheng Dai
This network shows the impact of papers produced by Jincheng Dai. 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 Jincheng Dai. The network helps show where Jincheng Dai may publish in the future.
Co-authorship network of co-authors of Jincheng Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Jincheng Dai. A scholar is included among the top collaborators of Jincheng Dai 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 Jincheng Dai. Jincheng Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 25 | |
| 12 | Wireless Deep Video Semantic Transmissionbreakdown → | 136 |
| 13 | 7 | |
| 14 | Nonlinear Transform Source-Channel Coding for Semantic Communicationsbreakdown → | 191 |
| 15 | 4 | |
| 16 | 24 | |
| 17 | 2 | |
| 18 | 45 | |
| 19 | 7 | |
| 20 | 9 |
About Jincheng Dai
Jincheng Dai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (42 papers), Error Correcting Code Techniques (40 papers) and Advanced Wireless Communication Technologies (25 papers). The work is most often cited by research in Computer Networks and Communications (478 citations), Artificial Intelligence (464 citations) and Electrical and Electronic Engineering (805 citations). Jincheng Dai has collaborated with scholars based in China, United Kingdom and Brazil. Frequent co-authors include Kai Niu, Sixian Wang, Zhongwei Si, Ping Zhang, Xiaoqi Qin, Chao Dong, Jiaru Lin, Kailin Tan, Ke Yang and Xin Fu. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Communications Surveys & Tutorials and Optics Letters.
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.