Jingyu Wang

1.8k total citations
117 papers, 1.2k citations indexed

About

Jingyu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jingyu Wang has authored 117 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 21 papers in Media Technology. Recurrent topics in Jingyu Wang's work include Face and Expression Recognition (28 papers), Remote-Sensing Image Classification (19 papers) and Video Surveillance and Tracking Methods (17 papers). Jingyu Wang is often cited by papers focused on Face and Expression Recognition (28 papers), Remote-Sensing Image Classification (19 papers) and Video Surveillance and Tracking Methods (17 papers). Jingyu Wang collaborates with scholars based in China, France and United Kingdom. Jingyu Wang's co-authors include Xuelong Li, Ke Zhang, Feiping Nie, Yu Su, Kurosh Madani, Ke Zhang, Qi Wang, Erik Cambria, Ke Zhang and Ke Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nature Protocols.

In The Last Decade

Jingyu Wang

103 papers receiving 1.2k citations

Peers

Jingyu Wang
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 583
  • Artificial Intelligence 406
  • Signal Processing 241
  • Media Technology 179
  • Experimental and Cognitive Psychology 120
Replace David K. Han with:
David K. Han United States
Ara Nefian United States
Aruni RoyChowdhury United States
Enver Sangineto Italy
Florian Schroff United States
Roberto Brunelli Italy
Giuseppe Valenzise France
Rui Lü China
Hai Liu China
Brendan McCane New Zealand
David K. Han United States View profile →
Citations per field, relative to Jingyu Wang
Jingyu Wang · 1×
Citations per year, relative to Jingyu Wang
Jingyu Wang · 1×

Countries citing papers authored by Jingyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyu Wang. A scholar is included among the top collaborators of Jingyu 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 Jingyu Wang. Jingyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 2
5 0
6 1
7 9
8 10
9 4
10 9
11 16
12 11
13 11
14 9
15 15
16 10
17 28
18 15
19 17
20 36

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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