Jiejun Chen
Impact in
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Changqi Zhao (3 shared papers)Zizhen Liang (1 shared paper)Xu Rumei (3 shared papers)Guangchun Lei (2 shared papers)Yifei Wang (2 shared papers)Rongjiang Wang (2 shared papers)Xiuzhong Yao (5 shared papers)Yongming Dai (5 shared papers)
- Journals
- Abdominal Radiology (3 papers)Energies (2 papers)IEEE Transactions on Consumer Electronics (2 papers)European Journal of Radiology (2 papers)Psycho-Oncology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jiejun Chen
32 papers receiving 367 citations
Peers
Comparison fields: 5 of 88
- Ecological Modeling 23
- Hepatology 38
- Nature and Landscape Conservation 44
- Radiology, Nuclear Medicine and Imaging 75
- Automotive Engineering 38
Countries citing papers authored by Jiejun Chen
This map shows the geographic impact of Jiejun 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 Jiejun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiejun Chen more than expected).
Fields of papers citing papers by Jiejun Chen
This network shows the impact of papers produced by Jiejun 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 Jiejun Chen. The network helps show where Jiejun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiejun 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 86 | |
| 2 | 2004 | 42 | |
| 3 | 2014 | 34 | |
| 4 | 2015 | 34 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2013 | 13 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2007 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2003 | 6 | |
| 19 | A bi-layer optimization based schedule considering large-scale electric vehicles | 2016 | 5 |
| 20 | 2023 | 5 |
About Jiejun Chen
Jiejun Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Electrical and Electronic Engineering, Hepatology and Automotive Engineering, having authored 37 papers that have together received 372 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Electric Vehicles and Infrastructure (5 papers), Advanced Battery Technologies Research (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Ecological Modeling (23 citations), Hepatology (38 citations), Nature and Landscape Conservation (44 citations), Radiology, Nuclear Medicine and Imaging (75 citations) and Automotive Engineering (38 citations). Jiejun Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Changqi Zhao, Zizhen Liang, Xu Rumei, Guangchun Lei, Yifei Wang, Rongjiang Wang, Xiuzhong Yao, Yongming Dai, Yunfei Zhang and Mengmeng Jiang. Their work appears in journals such as Abdominal Radiology, Energies, IEEE Transactions on Consumer Electronics, European Journal of Radiology and Psycho-Oncology.
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.