Yuan Jing

16 total papers · 1.1k total citations
9 papers, 545 citations indexed

About

Yuan Jing is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yuan Jing has authored 9 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Yuan Jing's work include Advanced Algorithms and Applications (3 papers), Robotic Path Planning Algorithms (2 papers) and Robotics and Sensor-Based Localization (2 papers). Yuan Jing is often cited by papers focused on Advanced Algorithms and Applications (3 papers), Robotic Path Planning Algorithms (2 papers) and Robotics and Sensor-Based Localization (2 papers). Yuan Jing collaborates with scholars based in China, Czechia and Slovenia. Yuan Jing's co-authors include Xuesong Zhai, Ching Sing Chai, Yan Li, Michael Spector, Andreja Istenič Starčič, Xiaoyan Chu, Jia Liu, Morris Siu–Yung Jong, Yalou Huang and Fengchi Sun and has published in prestigious journals such as Complexity, JMIR Medical Informatics and Journal of Mechanical Engineering.

In The Last Decade

Yuan Jing

7 papers receiving 485 citations

Hit Papers

A Review of Artificial In... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yuan Jing 204 194 97 92 85 9 545
Alexandra Klímová 202 1.0× 182 0.9× 79 0.8× 106 1.2× 137 1.6× 13 586
Anna Bilyatdinova 211 1.0× 181 0.9× 79 0.8× 95 1.0× 134 1.6× 14 551
Valentin Kuleto 147 0.7× 117 0.6× 73 0.8× 74 0.8× 150 1.8× 19 477
Linxuan Zhao 191 0.9× 204 1.1× 97 1.0× 111 1.2× 58 0.7× 31 532
Chinedu Wilfred Okonkwo 174 0.9× 300 1.5× 118 1.2× 32 0.3× 82 1.0× 11 482
Charles Fadel 239 1.2× 152 0.8× 71 0.7× 128 1.4× 113 1.3× 4 522
Alex Barrett 175 0.9× 193 1.0× 117 1.2× 106 1.2× 101 1.2× 25 589
Seongyune Choi 239 1.2× 183 0.9× 91 0.9× 65 0.7× 73 0.9× 13 474
Matthias Carl Laupichler 272 1.3× 181 0.9× 209 2.2× 52 0.6× 109 1.3× 16 581
Patrícia Fidalgo 128 0.6× 78 0.4× 101 1.0× 233 2.5× 93 1.1× 19 498

Countries citing papers authored by Yuan Jing

Since Specialization
Citations

This map shows the geographic impact of Yuan Jing'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 Yuan Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Jing more than expected).

Fields of papers citing papers by Yuan Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan Jing. 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 Yuan Jing. The network helps show where Yuan Jing may publish in the future.

Co-authorship network of co-authors of Yuan Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Jing. A scholar is included among the top collaborators of Yuan Jing 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 Yuan Jing. Yuan Jing 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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