Junying Chen
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
Papers in
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- Advanced Neural Network Applications 7
- Medical Image Segmentation Techniques 7
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- Ultrasound Imaging and Elastography 13
- Plasma Applications and Diagnostics 7
- Co-authors
- Bolun Cai (3 shared papers)Zhigang Dai (3 shared papers)Zhigang Peter Gao (1 shared paper)Ke Yan (1 shared paper)Qun Jin (1 shared paper)Huijuan Lu (1 shared paper)Yu Xue (1 shared paper)Kai Li (4 shared papers)
In The Last Decade
Junying Chen
145 papers receiving 2.9k citations
Junying Chen's Hit Papers
Peers
Comparison fields: 5 of 149
- Health Informatics 118
- Computer Vision and Pattern Recognition 756
- Artificial Intelligence 500
- Surfaces, Coatings and Films 78
- Radiology, Nuclear Medicine and Imaging 255
Countries citing papers authored by Junying Chen
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
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.
All Works
Showing the 20 most-cited of 160 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 → | 2021 | 427 |
| 2 | 2017 | 303 | |
| 3 | 2023 | 128 | |
| 4 | 2020 | 111 | |
| 5 | 2017 | 109 | |
| 6 | 2020 | 98 | |
| 7 | 2011 | 78 | |
| 8 | 2022 | 71 | |
| 9 | 2016 | 67 | |
| 10 | 2020 | 61 | |
| 11 | 2023 | 59 | |
| 12 | 2022 | 45 | |
| 13 | 2019 | 44 | |
| 14 | 2020 | 41 | |
| 15 | 2023 | 41 | |
| 16 | 2006 | 40 | |
| 17 | 2004 | 35 | |
| 18 | 2010 | 35 | |
| 19 | 2018 | 34 | |
| 20 | 2022 | 34 |
About Junying Chen
Junying Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Hardware and Architecture and Health Informatics, having authored 160 papers that have together received 3k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (13 papers), Topic Modeling (12 papers), Mosquito-borne diseases and control (7 papers), Advanced Neural Network Applications (7 papers), Medical Image Segmentation Techniques (7 papers), Metaheuristic Optimization Algorithms Research (7 papers), Plasma Applications and Diagnostics (7 papers) and Esophageal Cancer Research and Treatment (6 papers). The work is most often cited by research in Health Informatics (118 citations), Computer Vision and Pattern Recognition (756 citations), Artificial Intelligence (500 citations), Surfaces, Coatings and Films (78 citations) and Radiology, Nuclear Medicine and Imaging (255 citations). Junying Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Bolun Cai, Zhigang Dai, Zhigang Peter Gao, Ke Yan, Qun Jin, Huijuan Lu, Yu Xue, Kai Li, Alfred C. H. Yu and Hayden Kwok‐Hay So. Their work appears in journals such as Scientific Reports, Sensors, Computer Methods and Programs in Biomedicine, Neurospine and Frontiers in Cellular and Infection Microbiology.
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.