Ya Jing

1.2k citations
22 papers · 829 · h-index 12

Impact in

Papers in

Ya Jing

22 papers receiving 814 citations

Peers

Ya Jing
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 513
  • Human-Computer Interaction 86
  • Artificial Intelligence 312
  • Biomedical Engineering 226
  • Health, Toxicology and Mutagenesis 55
Replace Zhiqiang He with:
Zhiqiang He China
Junhua Mao China
Michiko Watanabe Japan
Deqiang Xiao China
Panomkhawn Riyamongkol Thailand
Guohua Wei China
Adeel Abbasi Pakistan
Xiaohan Nie China
Haiwei Chen China
Ya Jing relative to Zhiqiang He China Zhiqiang He's profile →
Citations per field
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Zhiqiang He · 1×
Citations per year

Countries citing papers authored by Ya Jing

Since Specialization
Citations

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

Fields of papers citing papers by Ya Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ya Jing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ya Jing Line = papers co-authored together Ya Jing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018304
2 2021101
3 202071
4 199961
5 199759
6 201651
7 201944
8 202023
9 202021
10 202116
11 202012
12 202112
13
Pose-Guided Joint Global and Attentive Local Matching Network for Text-Based Person Search
20189
14 20238
15 20237
16
Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection.
20186
17 20246
18
[Isolation and identification of Japanese encephalitis virus in Liaoning Province].
20065
19 20235
20 20223

About Ya Jing

Ya Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health, Toxicology and Mutagenesis, Surgery and Molecular Biology, having authored 22 papers that have together received 829 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Surveillance and Tracking Methods (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Congenital heart defects research (2 papers), Natural Language Processing Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (513 citations), Human-Computer Interaction (86 citations), Artificial Intelligence (312 citations), Biomedical Engineering (226 citations) and Health, Toxicology and Mutagenesis (55 citations). Ya Jing has collaborated with scholars based in China, Netherlands and Singapore. Frequent co-authors include Liang Wang, Tieniu Tan, Chenyang Si, Wei Wang, Tieniu Tan, Tao Kong, Wouter H. Lamers, Gerry T. M. Wagenaar, Antoon F.M. Moorman and Hongfeng Zhao. Their work appears in journals such as Pattern Recognition, The Anatomical Record, Ecotoxicology and Environmental Safety, IEEE Transactions on Image Processing and Medicine.

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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