Xiaokang Jin

10 total papers · 638 total citations
9 papers, 495 citations indexed

About

Xiaokang Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Xiaokang Jin has authored 9 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 2 papers in Aerospace Engineering. Recurrent topics in Xiaokang Jin's work include Video Surveillance and Tracking Methods (5 papers), Image Enhancement Techniques (3 papers) and Vehicle License Plate Recognition (2 papers). Xiaokang Jin is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Image Enhancement Techniques (3 papers) and Vehicle License Plate Recognition (2 papers). Xiaokang Jin collaborates with scholars based in China, United States and India. Xiaokang Jin's co-authors include Jianming Zhang, Jin Wang, Manting Huang, Juan Sun, Arun Kumar Sangaiah, Keqin Li, Zi Ye, Jin Zhang, Li‐Dan Kuang and Haitao Huang and has published in prestigious journals such as IEEE Access, Multimedia Tools and Applications and AIP Advances.

In The Last Decade

Xiaokang Jin

9 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaokang Jin 367 175 60 52 48 9 495
Mario Ortí Mata 335 0.9× 150 0.9× 44 0.7× 37 0.7× 83 1.7× 20 478
Fatin Zaklouta 325 0.9× 207 1.2× 71 1.2× 48 0.9× 12 0.3× 6 417
M. Pellkofer 402 1.1× 159 0.9× 39 0.7× 61 1.2× 55 1.1× 10 527
Miguel Ángel García-Garrido 354 1.0× 121 0.7× 38 0.6× 51 1.0× 96 2.0× 15 487
Chengyang Li 330 0.9× 118 0.7× 22 0.4× 76 1.5× 114 2.4× 18 517
Andrzej Ruta 356 1.0× 195 1.1× 63 1.1× 46 0.9× 11 0.2× 14 443
Hamed Habibi Aghdam 199 0.5× 77 0.4× 30 0.5× 115 2.2× 31 0.6× 20 406
Fahad Lateef 268 0.7× 60 0.3× 23 0.4× 106 2.0× 29 0.6× 8 459
Jiaming Zhang 379 1.0× 77 0.4× 23 0.4× 94 1.8× 75 1.6× 16 521
Hengliang Luo 385 1.0× 221 1.3× 94 1.6× 44 0.8× 15 0.3× 8 543

Countries citing papers authored by Xiaokang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokang Jin

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