Yusheng Ji
- Computer Networks and Communications top 0.1%
- Cooperative Communication and Network Coding 91
- Mobile Ad Hoc Networks 87
- Opportunistic and Delay-Tolerant Networks 64
- IoT and Edge/Fog Computing 48
- Energy Efficient Wireless Sensor Networks 46
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- Advanced MIMO Systems Optimization 78
- Vehicular Ad Hoc Networks (VANETs) 72
- Advanced Wireless Network Optimization 57
- Information Systems top 0.5%
- Signal Processing top 1%
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
- Computer Vision and Pattern Recognition 1.2k
- Information Systems 1.2k
- Signal Processing 562
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
The 25 scholars most cited alongside Yusheng Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 37 | |
| 13 | 2020 | 6 | |
| 14 | Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information | 2019 | 26 |
| 15 | 2018 | 16 | |
| 16 | 2018 | 4 | |
| 17 | HVC: A Hybrid Cloud Computing Framework in Vehicular Environment | 2017 | 2 |
| 18 | Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features | 2013 | 17 |
| 19 | 2007 | 10 | |
| 20 | 2006 | 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), Advanced MIMO Systems Optimization (78 papers), Vehicular Ad Hoc Networks (VANETs) (72 papers), Opportunistic and Delay-Tolerant Networks (64 papers), Advanced Wireless Network Optimization (57 papers), IoT and Edge/Fog Computing (48 papers) and Energy Efficient Wireless Sensor Networks (46 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 IEEE Transactions on Vehicular Technology, IEEE Access, IEEE Internet of Things Journal, Sensors and IEEE Network.
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.