Ding Jia

438 citations
9 papers · 257 · 1 hit paper · h-index 6

Impact in

Papers in

Ding Jia

9 papers receiving 250 citations

Ding Jia's Hit Papers

DETRs with Hybrid Matching 2023 · 135 citations
1350+1+2Years since publication4080120

Peers

Ding Jia
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 101
  • Ophthalmology 26
  • Acoustics and Ultrasonics 2
  • Epidemiology 61
  • Health Informatics 2
Replace Rami Qahwaji with:
Rami Qahwaji United Kingdom
Arezoo Sadeghzadeh Türkiye
Yassine Marrakchi Spain
B. Partibane India
J. F. Chang China
Yehui Yang China
Sophia V. Reyes Canada
Henry A. Leopold Canada
Horacio Legal-Ayala Paraguay
Ding Jia relative to Rami Qahwaji United Kingdom Rami Qahwaji's profile →
Citations per field
00.5×4.4×
Rami Qahwaji · 1×
Citations per year

Countries citing papers authored by Ding Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ding Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ding Jia, 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 Ding Jia Line = papers co-authored together Ding Jia links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
DETRs with Hybrid Matching
Hit paper breakdown →
2023135
2 200588
3 202213
4 20246
5 20235
6 20245
7
Genetic effects of estrogen receptor(ESR)on traits of litter size and teat number in swine
20022
8 20202
9 20251

About Ding Jia

Ding Jia is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Small Animals, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 257 indexed citations. Recurring topics across this work include Quantum Mechanics and Non-Hermitian Physics (2 papers), Diabetes Management and Research (1 paper), Ophthalmology and Visual Impairment Studies (1 paper), Topological Materials and Phenomena (1 paper), Metamaterials and Metasurfaces Applications (1 paper), Animal Nutrition and Physiology (1 paper), Fungal Biology and Applications (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (101 citations), Ophthalmology (26 citations), Acoustics and Ultrasonics (2 citations), Epidemiology (61 citations) and Health Informatics (2 citations). Ding Jia has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chao Zhang, Weihong Lin, Lei Sun, Yuhui Yuan, Han Hu, Xiaopei Wu, Haojun Yu, Hailan Zhao, Xiangtian Zhou and Ruiqing Wang. Their work appears in journals such as Nature Communications, Experimental Eye Research, International Journal of Women s Health, Electromagnetic waves and International journal of medicinal mushrooms.

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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