Yusheng Ji

707 total papers · 11.2k total citations
454 papers, 8.0k citations indexed

About

Yusheng Ji is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yusheng Ji has authored 454 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 341 papers in Computer Networks and Communications, 281 papers in Electrical and Electronic Engineering and 57 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yusheng Ji's work include Cooperative Communication and Network Coding (91 papers), Mobile Ad Hoc Networks (87 papers) and Advanced MIMO Systems Optimization (77 papers). Yusheng Ji is often cited by papers focused on Cooperative Communication and Network Coding (91 papers), Mobile Ad Hoc Networks (87 papers) and Advanced MIMO Systems Optimization (77 papers). Yusheng Ji collaborates with scholars based in Japan, China and Finland. Yusheng Ji's co-authors include Celimuge Wu, Zhi Liu, Jie Li, Tsutomu Yoshinaga, Stephan Sigg, Mehdi Bennis, Honggang Zhang, Yu Gu, Shuyu Shi and Xianfu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Communications Magazine.

In The Last Decade

Yusheng Ji

421 papers receiving 7.8k citations

Hit Papers

Optimized Computation Off... 2018 2026 2020 2023 2018 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yusheng Ji 5.3k 4.5k 1.2k 1.2k 1.2k 454 8.0k
Hongbo Jiang 3.6k 0.7× 3.0k 0.7× 1.5k 1.2× 1.3k 1.1× 1.2k 1.1× 339 7.8k
Xiang‐Yang Li 7.2k 1.4× 4.9k 1.1× 2.3k 1.9× 1.7k 1.4× 1.1k 0.9× 544 12.4k
Tie Qiu 4.9k 0.9× 2.9k 0.7× 1.9k 1.6× 1.6k 1.4× 1.3k 1.1× 260 9.0k
Honggang Zhang 4.8k 0.9× 3.9k 0.9× 1.2k 0.9× 592 0.5× 544 0.5× 366 8.3k
Qun Li 6.3k 1.2× 3.4k 0.7× 1.9k 1.5× 2.0k 1.7× 1.4k 1.2× 364 10.0k
Feng Zhao 6.3k 1.2× 3.6k 0.8× 1.7k 1.4× 2.4k 2.0× 1.2k 1.0× 307 9.6k
Depeng Jin 4.8k 0.9× 4.5k 1.0× 2.5k 2.0× 2.6k 2.2× 954 0.8× 404 11.1k
Yang Yang 5.6k 1.1× 6.4k 1.4× 908 0.7× 1.2k 1.0× 809 0.7× 654 10.5k
Zhaolong Ning 6.1k 1.2× 4.1k 0.9× 2.0k 1.6× 2.2k 1.9× 1.2k 1.0× 208 9.8k
Lei Guo 4.3k 0.8× 2.3k 0.5× 1.3k 1.1× 1.3k 1.1× 935 0.8× 281 7.1k

Countries citing papers authored by Yusheng Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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