Lujun Han
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 3
- Surgery 4
- Esophageal Cancer Research and Treatment 3
- Co-authors
- Xiaofei Lv (13 shared papers)Yingwei Qiu (13 shared papers)Varut Vardhanabhuti (4 shared papers)Chenyi Xie (4 shared papers)Jianhua Fu (4 shared papers)Yihuai Hu (4 shared papers)Hong Yang (3 shared papers)Joshua W. K. Ho (3 shared papers)
- Journals
- NeuroImage Clinical (2 papers)Radiotherapy and Oncology (2 papers)JAMA Network Open (2 papers)Brain Imaging and Behavior (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Lujun Han
34 papers receiving 875 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 278
- Cognitive Neuroscience 139
- Otorhinolaryngology 26
- Genetics 48
- Hepatology 34
Countries citing papers authored by Lujun Han
This map shows the geographic impact of Lujun Han'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 Lujun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lujun Han more than expected).
Fields of papers citing papers by Lujun Han
This network shows the impact of papers produced by Lujun Han. 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 Lujun Han. The network helps show where Lujun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Lujun Han, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 125 | |
| 2 | 2020 | 109 | |
| 3 | 2011 | 78 | |
| 4 | 2011 | 60 | |
| 5 | 2018 | 41 | |
| 6 | 2012 | 39 | |
| 7 | 2020 | 37 | |
| 8 | 2023 | 34 | |
| 9 | 2017 | 30 | |
| 10 | 2022 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2018 | 29 | |
| 13 | 2013 | 24 | |
| 14 | 2021 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2021 | 19 | |
| 19 | 2020 | 15 | |
| 20 | 2021 | 13 |
About Lujun Han
Lujun Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Hepatology and Otorhinolaryngology, having authored 34 papers that have together received 882 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced MRI Techniques and Applications (3 papers), Head and Neck Cancer Studies (2 papers), Cancer-related cognitive impairment studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Brain Metastases and Treatment (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (278 citations), Cognitive Neuroscience (139 citations), Otorhinolaryngology (26 citations), Genetics (48 citations) and Hepatology (34 citations). Lujun Han has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Xiaofei Lv, Yingwei Qiu, Varut Vardhanabhuti, Chenyi Xie, Jianhua Fu, Yihuai Hu, Hong Yang, Joshua W. K. Ho, Jing Wen and K.W. Chiu. Their work appears in journals such as NeuroImage Clinical, Radiotherapy and Oncology, JAMA Network Open, Brain Imaging and Behavior and Nature Communications.
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.