Jingbo Wang

73 total papers · 6.9k total citations
22 papers, 2.1k citations indexed

About

Jingbo Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jingbo Wang has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Jingbo Wang's work include Advanced Neural Network Applications (7 papers), Human Pose and Action Recognition (5 papers) and Human Motion and Animation (3 papers). Jingbo Wang is often cited by papers focused on Advanced Neural Network Applications (7 papers), Human Pose and Action Recognition (5 papers) and Human Motion and Animation (3 papers). Jingbo Wang collaborates with scholars based in China, Hong Kong and United States. Jingbo Wang's co-authors include Changqian Yu, Gang Yu, Nong Sang, Changxin Gao, Chunhua Shen, Chao Peng, Dahua Lin, Sijie Yan, Huanyu Liu and Wei Jiang and has published in prestigious journals such as Journal of the American Statistical Association, International Journal of Computer Vision and Experimental Eye Research.

In The Last Decade

Jingbo Wang

19 papers receiving 2.1k citations

Hit Papers

BiSeNet V2: Bilateral Net... 2018 2026 2020 2023 2021 2018 2020 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Jingbo Wang 1.5k 506 318 174 143 22 2.1k
Changqian Yu 1.7k 1.1× 651 1.3× 349 1.1× 180 1.0× 153 1.1× 18 2.4k
Xiang Bai 1.7k 1.1× 443 0.9× 478 1.5× 102 0.6× 126 0.9× 26 2.3k
Masood Dehghan 1.8k 1.1× 365 0.7× 403 1.3× 113 0.6× 109 0.8× 26 2.7k
Shanghua Gao 1.6k 1.1× 680 1.3× 415 1.3× 136 0.8× 129 0.9× 14 2.7k
Meng-Hao Guo 1.2k 0.8× 577 1.1× 370 1.2× 93 0.5× 113 0.8× 22 2.5k
Chenyang Huang 1.7k 1.1× 491 1.0× 383 1.2× 101 0.6× 101 0.7× 13 2.6k
Jiachen Lu 1.7k 1.1× 716 1.4× 489 1.5× 136 0.8× 126 0.9× 31 2.5k
Jie Chen 1.8k 1.1× 526 1.0× 354 1.1× 113 0.6× 79 0.6× 18 2.6k
Sergiu Oprea 948 0.6× 374 0.7× 215 0.7× 170 1.0× 261 1.8× 13 2.0k
Yi Li 1.9k 1.2× 553 1.1× 306 1.0× 90 0.5× 84 0.6× 25 2.5k

Countries citing papers authored by Jingbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingbo Wang

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