Junying Chen
Impact in
- Health Informatics top 2%
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Natural Language Processing Techniques 9
- Topic Modeling 9
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- Ultrasound Imaging and Elastography 15
- Plasma Applications and Diagnostics 7
- Co-authors
- Bolun Cai (3 shared papers)Zhigang Dai (3 shared papers)Huijuan Lu (1 shared paper)Qun Jin (1 shared paper)Zhigang Gao (1 shared paper)Ke Yan (1 shared paper)Yu Xue (1 shared paper)Hayden Kwok‐Hay So (5 shared papers)
In The Last Decade
Junying Chen
134 papers receiving 2.3k citations
Junying Chen's Hit Papers
Peers
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
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 151 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 | 359 |
| 2 | 2017 | 277 | |
| 3 | 2017 | 104 | |
| 4 | 2020 | 93 | |
| 5 | 2023 | 91 | |
| 6 | 2020 | 81 | |
| 7 | 2011 | 72 | |
| 8 | 2016 | 62 | |
| 9 | 2020 | 58 | |
| 10 | 2022 | 56 | |
| 11 | 2023 | 45 | |
| 12 | 2019 | 39 | |
| 13 | 2006 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 2023 | 35 | |
| 16 | 2010 | 34 | |
| 17 | 2009 | 31 | |
| 18 | 2021 | 30 | |
| 19 | 2020 | 29 | |
| 20 | 2018 | 27 |
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 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (15 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Ultrasonics and Acoustic Wave Propagation (8 papers), Advanced Neural Network Applications (7 papers), Plasma Applications and Diagnostics (7 papers), Viral Infections and Vectors (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 (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 Bolun Cai, Zhigang Dai, Huijuan Lu, Qun Jin, Zhigang Gao, Ke Yan, Yu Xue, Hayden Kwok‐Hay So, Alfred C. H. Yu and Kai Li. Their work appears in journals such as Sensors, Scientific Reports, Virus Research, 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.