Jingya Wang

775 total citations
32 papers, 414 citations indexed

About

Jingya Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jingya Wang has authored 32 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Jingya Wang's work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and Spam and Phishing Detection (3 papers). Jingya Wang is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and Spam and Phishing Detection (3 papers). Jingya Wang collaborates with scholars based in China, United Kingdom and Japan. Jingya Wang's co-authors include Shaogang Gong, Xiatian Zhu, Wei Li, Liangbi Su, Jie Liu, Weiwei Ma, Han Zhang, Zhinan Guo, Jingjing Liu and Christopher Raphael and has published in prestigious journals such as PLoS ONE, Optics Express and IEEE Access.

In The Last Decade

Jingya Wang

27 papers receiving 393 citations

Peers

Jingya Wang
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 181
  • Electrical and Electronic Engineering 130
  • Artificial Intelligence 109
  • Atomic and Molecular Physics, and Optics 89
  • Materials Chemistry 72
Replace Zhiying Liu with:
Zhiying Liu China
Hao Shi China
Daniel Vaquero United States
Wenqiang Wan China
Johan Björck United States
Tariq Jamil Pakistan
Stefano Marsi Italy
Zhiying Liu China View profile →
Citations per field, relative to Jingya Wang
Jingya Wang · 1×
Citations per year, relative to Jingya Wang
Jingya Wang · 1×

Countries citing papers authored by Jingya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingya Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingya Wang. A scholar is included among the top collaborators of Jingya 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 Jingya Wang. Jingya 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 0
2 0
3 0
4 0
5 1
6 8
7 4
8 0
9 2
10 4
11 15
12 4
13 7
14
Symbiotic Adversarial Learning for Attribute-Based Person Search
1
15 4
16 99
17 12
18 37
19 90
20 9

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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