Ya Jing

1.1k citations
21 papers · 485 · h-index 11

Impact in

Papers in

Ya Jing

21 papers receiving 477 citations

Peers

Ya Jing
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 201
  • Health, Toxicology and Mutagenesis 54
  • Human-Computer Interaction 20
  • Artificial Intelligence 111
  • Cardiology and Cardiovascular Medicine 53
Replace Tiantian Yan with:
Tiantian Yan China
Anran Xu China
Jingjing Shen China
Qiushi Zhao China
Yuan Liang China
Subo Gong China
Woo Young Kwon South Korea
Guozhen Wang China
André Frotta Müller Germany
Yingliang Zhang China
Ya Jing relative to Tiantian Yan China Tiantian Yan's profile →
Citations per field
00.5×10×13.5×
Tiantian Yan · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202185
2 202067
3 199957
4 199756
5 201651
6 201943
7 202021
8 202020
9 202116
10 202111
11 202011
12
Pose-Guided Joint Global and Attentive Local Matching Network for Text-Based Person Search
20188
13 20238
14
Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection.
20185
15 20235
16
[Isolation and identification of Japanese encephalitis virus in Liaoning Province].
20065
17 20244
18 20234
19 20223
20 19993

About Ya Jing

Ya Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 485 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (11 papers), Human Pose and Action Recognition (5 papers), Cardiomyopathy and Myosin Studies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Surveillance and Tracking Methods (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Natural Language Processing Techniques (2 papers) and Environmental Toxicology and Ecotoxicology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Health, Toxicology and Mutagenesis (54 citations), Human-Computer Interaction (20 citations), Artificial Intelligence (111 citations) and Cardiology and Cardiovascular Medicine (53 citations). Ya Jing has collaborated with scholars based in China, Netherlands and Singapore. Frequent co-authors include Liang Wang, Tieniu Tan, Wouter H. Lamers, Gerry T. M. Wagenaar, Hongfeng Zhao, Antoon F.M. Moorman, Tieniu Tan, Tao Kong, Wei Wang and Chenyang Si. Their work appears in journals such as The Anatomical Record, Pattern Recognition, 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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