Jinlong Shi

78 total papers · 591 total citations
48 papers, 381 citations indexed

About

Jinlong Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jinlong Shi has authored 48 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Jinlong Shi's work include Advanced Vision and Imaging (10 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Neural Network Applications (7 papers). Jinlong Shi is often cited by papers focused on Advanced Vision and Imaging (10 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Neural Network Applications (7 papers). Jinlong Shi collaborates with scholars based in China, United States and United Kingdom. Jinlong Shi's co-authors include Zhengxing Sun, Xin Shu, Zhigang Luo, Xiao‐Jun Wu, Lv Tang, Bo Li, Shucheng Huang, Zhigang Song, Xiaoning Song and Zhigang Luo and has published in prestigious journals such as Pattern Recognition, Knowledge-Based Systems and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Jinlong Shi

42 papers receiving 365 citations

Author Peers

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

Author Last Decade Papers Cites
Jinlong Shi 249 65 57 42 37 48 381
B.G. Batchelor 237 1.0× 57 0.9× 50 0.9× 39 0.9× 20 0.5× 63 437
Zhijiang Zhang 274 1.1× 64 1.0× 28 0.5× 89 2.1× 25 0.7× 48 419
Yisong Chen 253 1.0× 93 1.4× 65 1.1× 58 1.4× 60 1.6× 29 387
Yuan Chen 289 1.2× 51 0.8× 17 0.3× 35 0.8× 25 0.7× 35 441
Cong Yang 223 0.9× 91 1.4× 62 1.1× 16 0.4× 15 0.4× 38 423
Yue Wang 237 1.0× 25 0.4× 48 0.8× 32 0.8× 36 1.0× 43 420
Anders Hast 156 0.6× 43 0.7× 64 1.1× 21 0.5× 30 0.8× 64 360
Baraka Maiseli 188 0.8× 33 0.5× 57 1.0× 62 1.5× 23 0.6× 47 445
Dongyue Chen 254 1.0× 97 1.5× 29 0.5× 56 1.3× 17 0.5× 77 437
Ronald Chung 297 1.2× 18 0.3× 47 0.8× 60 1.4× 39 1.1× 57 425

Countries citing papers authored by Jinlong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Shi

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