Junfeng Lu
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Health Informatics top 5%
Papers in
-
- Neurobiology of Language and Bilingualism 10
- Functional Brain Connectivity Studies 10
- EEG and Brain-Computer Interfaces 8
- Genetics 22
- Glioma Diagnosis and Treatment 22
- Co-authors
- Jinsong Wu (51 shared papers)Dinggang Shen (10 shared papers)Rongbiao Pi (13 shared papers)Zhengda Yu (8 shared papers)Dongxiao Zhuang (16 shared papers)Liangfu Zhou (17 shared papers)Qian Wang (6 shared papers)Chengjun Yao (10 shared papers)
- Journals
- Forest Science (3 papers)Human Brain Mapping (3 papers)European Journal of Medicinal Chemistry (2 papers)IEEE Transactions on Medical Imaging (2 papers)Science Advances (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junfeng Lu
76 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 134
- Genetics 367
- Health Informatics 30
- Radiology, Nuclear Medicine and Imaging 457
- Neurology 167
- Cognitive Neuroscience 386
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 173 | |
| 2 | 2019 | 95 | |
| 3 | 2020 | 89 | |
| 4 | 2020 | 77 | |
| 5 | 2017 | 76 | |
| 6 | 2021 | 59 | |
| 7 | 2018 | 58 | |
| 8 | 2013 | 56 | |
| 9 | 2018 | 49 | |
| 10 | 2014 | 48 | |
| 11 | 2023 | 46 | |
| 12 | 2021 | 46 | |
| 13 | 2014 | 44 | |
| 14 | 2021 | 41 | |
| 15 | 2018 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2016 | 37 | |
| 18 | 2021 | 36 | |
| 19 | 2015 | 35 | |
| 20 | 2019 | 33 |
About Junfeng Lu
Junfeng Lu is a scholar working on Cognitive Neuroscience, Genetics, Radiology, Nuclear Medicine and Imaging, Epidemiology and Physiology, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (22 papers), Neurobiology of Language and Bilingualism (10 papers), Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), EEG and Brain-Computer Interfaces (8 papers), Alzheimer's disease research and treatments (8 papers), Meningioma and schwannoma management (8 papers) and Cholinesterase and Neurodegenerative Diseases (6 papers). The work is most often cited by research in Genetics (367 citations), Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (457 citations), Neurology (167 citations) and Cognitive Neuroscience (386 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, Qian Wang, Chengjun Yao, Qiuhe Chen and Ying Mao. Their work appears in journals such as Forest Science, Human Brain Mapping, European Journal of Medicinal Chemistry, IEEE Transactions on Medical Imaging and Science Advances.
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.