Junying Chen

3.8k citations
151 papers · 2.4k indexed · 1 hit paper · h-index 24

Junying Chen

134 papers receiving 2.3k citations

Hit Papers

UP-DETR: Unsupervised Pre-training for Object Detection w...3592021202620222024100200300

Peers

Junying Chen
Comparison fields: 5 of 184
  • Health Informatics 59
  • Computer Vision and Pattern Recognition 539
  • Artificial Intelligence 651
  • Radiology, Nuclear Medicine and Imaging 361
  • Rehabilitation 75
Replace Zihan Li with:
Zihan Li China
Hao Yan China
Jyotirmoy Chatterjee India
Kai Jin China
Nenad Filipović Serbia
Jian Zhuang China
Constantino Carlos Reyes‐Aldasoro United Kingdom
Weijie Su United States
Junying Chen relative to Zihan Li China Zihan Li's profile →
Citations per field
00.5×10×20×30×39×
Zihan Li · 1×
Citations per year

Countries citing papers authored by Junying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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12 20234
13 202119
14 20217
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17 201827
18
Discussion on the application of HHT method to Geoelectric field data processing
20101
19
A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference
20093
20
The Crustal Structure Beneath Digital Seismic Stations in Gansu Province
20082

About Junying Chen

Junying Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Rehabilitation, Artificial Intelligence and Infectious Diseases, having authored 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (15 papers), Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers), Ultrasonics and Acoustic Wave Propagation (8 papers), Viral Infections and Vectors (7 papers), Indoor and Outdoor Localization Technologies (7 papers), Advanced Neural Network Applications (7 papers) and Plasma Applications and Diagnostics (7 papers). The work is most often cited by research in Health Informatics (59 citations), Computer Vision and Pattern Recognition (539 citations), Artificial Intelligence (651 citations), Radiology, Nuclear Medicine and Imaging (361 citations) and Rehabilitation (75 citations). Junying Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Zhigang Dai, Bolun Cai, Ke Yan, Qun Jin, Huijuan Lu, Zhigang Gao, Yu Xue, Alfred C. H. Yu, Hayden Kwok‐Hay So and Kai Li. Their work appears in journals such as Sensors, Virus Research, Scientific Reports, Neurospine and Ceramics International.

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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