Yusheng Ji
- Computer Networks and Communications top 0.1%
- Electrical and Electronic Engineering top 0.5%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Topics
- Cooperative Communication and Network Coding (91 papers)Mobile Ad Hoc Networks (87 papers)Advanced MIMO Systems Optimization (78 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications Surveys & TutorialsIEEE Access
In The Last Decade
Yusheng Ji
424 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Networks and Communications 5.3k
- Electrical and Electronic Engineering 4.5k
- Artificial Intelligence 1.3k
- Information Systems 1.2k
- Computer Vision and Pattern Recognition 1.2k
Countries citing papers authored by Yusheng Ji
This map shows the geographic impact of Yusheng Ji'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 Yusheng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusheng Ji more than expected).
Fields of papers citing papers by Yusheng Ji
This network shows the impact of papers produced by Yusheng Ji. 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 Yusheng Ji. The network helps show where Yusheng Ji may publish in the future.
Co-authorship network of co-authors of Yusheng Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Yusheng Ji. A scholar is included among the top collaborators of Yusheng Ji 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 Yusheng Ji. Yusheng Ji 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 | 0 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 37 | |
| 13 | 6 | |
| 14 | Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information | 26 |
| 15 | 16 | |
| 16 | 4 | |
| 17 | HVC: A Hybrid Cloud Computing Framework in Vehicular Environment | 2 |
| 18 | Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features | 17 |
| 19 | 10 | |
| 20 | 5 |
About Yusheng Ji
Yusheng Ji is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 455 papers that have together received 8.1k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (91 papers), Mobile Ad Hoc Networks (87 papers) and Advanced MIMO Systems Optimization (78 papers). The work is most often cited by research in Computer Networks and Communications (5.3k citations), Electrical and Electronic Engineering (4.5k citations) and Computer Vision and Pattern Recognition (1.2k citations). Yusheng Ji has collaborated with scholars based in Japan, China and Finland. Frequent co-authors include Celimuge Wu, Zhi Liu, Tsutomu Yoshinaga, Jie Li, Stephan Sigg, Mehdi Bennis, Honggang Zhang, Yu Gu, Shuyu Shi and Xianfu Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.
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.