Enqing Dong
Impact in
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- Medical Image Segmentation Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Medical Image Segmentation Techniques 16
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- Radiomics and Machine Learning in Medical Imaging 9
- COVID-19 diagnosis using AI 6
- Co-authors
- Yu Fu (14 shared papers)Qiang Zheng (6 shared papers)Zhenchao Tang (8 shared papers)Zhenguo Li (4 shared papers)Zhenyu Liu (5 shared papers)Wei Liu (4 shared papers)Yang Song (4 shared papers)Zhili Zhang (11 shared papers)
- Journals
- Biomedical Signal Processing and Control (5 papers)IEEE Journal of Biomedical and Health Informatics (4 papers)Electronics Letters (3 papers)Signal Processing (3 papers)International Journal of Imaging Systems and Technology (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Enqing Dong
51 papers receiving 449 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 160
- Radiology, Nuclear Medicine and Imaging 147
- Health Informatics 8
- Media Technology 45
- Neurology 23
Countries citing papers authored by Enqing Dong
This map shows the geographic impact of Enqing Dong'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 Enqing Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enqing Dong more than expected).
Fields of papers citing papers by Enqing Dong
This network shows the impact of papers produced by Enqing Dong. 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 Enqing Dong. The network helps show where Enqing Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Enqing Dong, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2017 | 36 | |
| 3 | 2018 | 30 | |
| 4 | 2013 | 23 | |
| 5 | 2019 | 20 | |
| 6 | 2012 | 19 | |
| 7 | 2015 | 18 | |
| 8 | 2015 | 18 | |
| 9 | 2018 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2013 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 2015 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2012 | 10 | |
| 20 | 2019 | 10 |
About Enqing Dong
Enqing Dong is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 466 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Energy Efficient Wireless Sensor Networks (10 papers), Lung Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Underwater Vehicles and Communication Systems (6 papers), COVID-19 diagnosis using AI (6 papers), Indoor and Outdoor Localization Technologies (6 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Radiology, Nuclear Medicine and Imaging (147 citations), Health Informatics (8 citations), Media Technology (45 citations) and Neurology (23 citations). Enqing Dong has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Yu Fu, Qiang Zheng, Zhenchao Tang, Zhenguo Li, Zhenyu Liu, Wei Liu, Yang Song, Zhili Zhang, Jie Tian and Hongjun Li. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Journal of Biomedical and Health Informatics, Electronics Letters, Signal Processing and International Journal of Imaging Systems and Technology.
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.