Junying Chen

3.9k citations
162 papers · 2.7k · 2 hit papers · h-index 26

Impact in

Papers in

Junying Chen

146 papers receiving 2.7k citations

Junying Chen's Hit Papers

HuatuoGPT, Towards Taming Language Model to Be a Doctor 2023 · 113 citations
1130+1+3Years since publication100200300400

Peers

Junying Chen
Comparison fields: 5 of 180
  • Health Informatics 59
  • Computer Vision and Pattern Recognition 609
  • Artificial Intelligence 770
  • Radiology, Nuclear Medicine and Imaging 342
  • Rehabilitation 68
Replace Jian Zhuang with:
Jian Zhuang China
Zihan Li China
Wei Dong China
Hai‐Tao Zhang China
Nenad Filipović Serbia
Mingyu Chen China
Wu Song China
Hao Yan China
Amir Saffari Iran
Ping Chen China
Junying Chen relative to Jian Zhuang China Jian Zhuang's profile →
Citations per field
00.5×2.6×
Jian Zhuang · 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-authors

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

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Hit paper breakdown →
2021411
2 2017304
3
HuatuoGPT, Towards Taming Language Model to Be a Doctor
Hit paper breakdown →
2023113
4 2017108
5 2020105
6 202095
7 201175
8 201666
9 202263
10 202059
11 202353
12 200642
13 201940
14 202337
15 202037
16 200437
17 201035
18 202031
19 200931
20 201230

About Junying Chen

Junying Chen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 162 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (15 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Advanced Neural Network Applications (7 papers), Plasma Applications and Diagnostics (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Health Informatics (59 citations), Computer Vision and Pattern Recognition (609 citations), Artificial Intelligence (770 citations), Radiology, Nuclear Medicine and Imaging (342 citations) and Rehabilitation (68 citations). Junying Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Bolun Cai, Zhigang Dai, Ke Yan, Huijuan Lu, Qun Jin, Yu Xue, Zhigang Gao, Kai Li, Alfred C. H. Yu and Hayden Kwok‐Hay So. Their work appears in journals such as Scientific Reports, Sensors, Neurospine, Applied Physics Letters and Virus Research.

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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