Jinlong Yang

11 total papers · 958 total citations
6 papers, 408 citations indexed

About

Jinlong Yang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jinlong Yang has authored 6 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jinlong Yang's work include 3D Shape Modeling and Analysis (5 papers), Human Pose and Action Recognition (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Jinlong Yang is often cited by papers focused on 3D Shape Modeling and Analysis (5 papers), Human Pose and Action Recognition (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Jinlong Yang collaborates with scholars based in Germany, Switzerland and United States. Jinlong Yang's co-authors include Michael J. Black, Qianli Ma, Siyu Tang, Shunsuke Saito, Anurag Ranjan, Sergi Pujades, Gerard Pons‐Moll, Xingchen Ye, Linfeng Fei and Weiyi Hou and has published in prestigious journals such as Small, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Jinlong Yang

5 papers receiving 392 citations

Hit Papers

Learning to Dress 3D Peop... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Jinlong Yang 343 304 189 72 15 6 408
Lingyu Wei 201 0.6× 386 1.3× 83 0.4× 46 0.6× 14 0.9× 11 485
Xu Chen 348 1.0× 361 1.2× 182 1.0× 97 1.3× 45 3.0× 14 484
Ignacio Llamas 267 0.8× 112 0.4× 249 1.3× 39 0.5× 31 2.1× 11 404
David A. Hirshberg 275 0.8× 283 0.9× 124 0.7× 80 1.1× 17 1.1× 8 426
Danil Kirsanov 283 0.8× 163 0.5× 247 1.3× 24 0.3× 12 0.8× 6 434
Ibraheem Alhashim 207 0.6× 198 0.7× 166 0.9× 23 0.3× 11 0.7× 10 378
Tsuneya Kurihara 313 0.9× 191 0.6× 276 1.5× 228 3.2× 31 2.1× 14 487
Yuliy Schwartzburg 221 0.6× 112 0.4× 221 1.2× 21 0.3× 50 3.3× 7 456
Jonathan Su 307 0.9× 61 0.2× 163 0.9× 69 1.0× 16 1.1× 7 383
François Labelle 287 0.8× 109 0.4× 331 1.8× 27 0.4× 29 1.9× 9 458

Countries citing papers authored by Jinlong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Yang

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