Jing-Wein Wang

88 total papers · 981 total citations
61 papers, 665 citations indexed

About

Jing-Wein Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jing-Wein Wang has authored 61 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jing-Wein Wang's work include Face and Expression Recognition (13 papers), Biometric Identification and Security (12 papers) and Face recognition and analysis (10 papers). Jing-Wein Wang is often cited by papers focused on Face and Expression Recognition (13 papers), Biometric Identification and Security (12 papers) and Face recognition and analysis (10 papers). Jing-Wein Wang collaborates with scholars based in Taiwan, Vietnam and United States. Jing-Wein Wang's co-authors include Chia‐Nan Wang, Jiann-Shu Lee, Tu N. Nguyen, Thanh‐Tuan Dang, Ngoc-Ai-Thy Nguyen, Chih-Chiang Wang, Jeng‐Shyang Pan, Wen‐Yuan Chen, Nhat‐Luong Nhieu and Chih-Ming Tsai and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Jing-Wein Wang

57 papers receiving 605 citations

Author Peers

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

Author Last Decade Papers Cites
Jing-Wein Wang 293 100 92 85 83 61 665
Zhengkai Liu 291 1.0× 74 0.7× 55 0.6× 57 0.7× 59 0.7× 57 603
Aouatif Amine 251 0.9× 221 2.2× 51 0.6× 42 0.5× 37 0.4× 76 793
Yi Zhou 178 0.6× 173 1.7× 43 0.5× 21 0.2× 47 0.6× 62 696
Shilong Zhang 231 0.8× 92 0.9× 60 0.7× 51 0.6× 17 0.2× 47 571
Osslan Osíris Vergara Villegas 212 0.7× 126 1.3× 47 0.5× 34 0.4× 31 0.4× 68 586
Jehad F. Al‐Amri 295 1.0× 157 1.6× 35 0.4× 17 0.2× 100 1.2× 46 720
Qingzhen Xu 200 0.7× 111 1.1× 28 0.3× 33 0.4× 72 0.9× 64 680
Javier Medina 173 0.6× 104 1.0× 38 0.4× 29 0.3× 39 0.5× 52 718
Alessandra Mileo 162 0.6× 276 2.8× 79 0.9× 69 0.8× 56 0.7× 49 656
Rakesh Kumar 450 1.5× 62 0.6× 46 0.5× 40 0.5× 36 0.4× 51 724

Countries citing papers authored by Jing-Wein Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jing-Wein Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing-Wein Wang

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