Junfeng Lu
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- Functional Brain Connectivity Studies 12
- Neurobiology of Language and Bilingualism 11
- EEG and Brain-Computer Interfaces 9
- Genetics 25
- Glioma Diagnosis and Treatment 25
- Co-authors
- Jinsong Wu (50 shared papers)Dinggang Shen (10 shared papers)Rongbiao Pi (13 shared papers)Zhengda Yu (8 shared papers)Dongxiao Zhuang (13 shared papers)Liangfu Zhou (16 shared papers)Ying Mao (16 shared papers)Chengjun Yao (10 shared papers)
- Journals
- Forest Science (3 papers)Human Brain Mapping (3 papers)Nature Communications (2 papers)European Journal of Pharmacology (2 papers)Neurosurgical FOCUS (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junfeng Lu
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 133
- Genetics 420
- Radiology, Nuclear Medicine and Imaging 579
- Health Informatics 31
- Neurology 175
- Cognitive Neuroscience 402
Countries citing papers authored by Junfeng Lu
This map shows the geographic impact of Junfeng Lu'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 Junfeng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Lu more than expected).
Fields of papers citing papers by Junfeng Lu
This network shows the impact of papers produced by Junfeng Lu. 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 Junfeng Lu. The network helps show where Junfeng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Lu, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 158 | |
| 2 | 2019 | 84 | |
| 3 | 2020 | 82 | |
| 4 | 2017 | 70 | |
| 5 | 2020 | 67 | |
| 6 | 2021 | 54 | |
| 7 | 2013 | 52 | |
| 8 | 2018 | 52 | |
| 9 | 2014 | 46 | |
| 10 | 2018 | 42 | |
| 11 | 2023 | 41 | |
| 12 | 2014 | 40 | |
| 13 | 2021 | 40 | |
| 14 | 2021 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2021 | 36 | |
| 17 | 2016 | 36 | |
| 18 | 2020 | 35 | |
| 19 | 2015 | 35 | |
| 20 | 2019 | 32 |
About Junfeng Lu
Junfeng Lu is a scholar working on Cognitive Neuroscience, Genetics, Radiology, Nuclear Medicine and Imaging, Epidemiology and Physiology, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (25 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Functional Brain Connectivity Studies (12 papers), Neurobiology of Language and Bilingualism (11 papers), Meningioma and schwannoma management (10 papers), EEG and Brain-Computer Interfaces (9 papers), Alzheimer's disease research and treatments (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Genetics (420 citations), Radiology, Nuclear Medicine and Imaging (579 citations), Health Informatics (31 citations), Neurology (175 citations) and Cognitive Neuroscience (402 citations). Junfeng Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinsong Wu, Dinggang Shen, Rongbiao Pi, Zhengda Yu, Dongxiao Zhuang, Liangfu Zhou, Ying Mao, Chengjun Yao, Qiuhe Chen and Qian Wang. Their work appears in journals such as Forest Science, Human Brain Mapping, Nature Communications, European Journal of Pharmacology and Neurosurgical FOCUS.
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.