Lu Yu
Impact in
Papers in
-
- Functional Brain Connectivity Studies 10
- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 3
- Surgery 7
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Jacques Genest (5 shared papers)Betsie Boucher (4 shared papers)Michel Marcil (3 shared papers)Jinou Zheng (14 shared papers)Stephanie Mott (2 shared papers)Marjel van Dam (1 shared paper)Kirsten Roomp (1 shared paper)Maxime Denis (1 shared paper)
- Journals
- Epilepsy & Behavior (4 papers)Neurological Sciences (3 papers)Atherosclerosis (3 papers)Epilepsy Research (2 papers)European Journal of Oncology Nursing (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Lu Yu
41 papers receiving 963 citations
Peers
Comparison fields: 5 of 73
- Oncology 317
- Surgery 390
- Biochemistry 58
- Cognitive Neuroscience 141
- Cancer Research 94
Countries citing papers authored by Lu Yu
This map shows the geographic impact of Lu Yu'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 Lu Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Yu more than expected).
Fields of papers citing papers by Lu Yu
This network shows the impact of papers produced by Lu Yu. 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 Lu Yu. The network helps show where Lu Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Yu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 295 | |
| 2 | 1999 | 81 | |
| 3 | 2014 | 74 | |
| 4 | 2000 | 73 | |
| 5 | 2018 | 66 | |
| 6 | 2015 | 33 | |
| 7 | 2012 | 31 | |
| 8 | 2013 | 30 | |
| 9 | 2014 | 29 | |
| 10 | 2015 | 22 | |
| 11 | 1999 | 21 | |
| 12 | 2013 | 21 | |
| 13 | 2020 | 17 | |
| 14 | 2010 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2015 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 10 |
About Lu Yu
Lu Yu is a scholar working on Cognitive Neuroscience, Surgery, Psychiatry and Mental health, Molecular Biology and Oncology, having authored 47 papers that have together received 981 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Epilepsy research and treatment (7 papers), EEG and Brain-Computer Interfaces (4 papers), Cholesterol and Lipid Metabolism (3 papers), Cancer, Lipids, and Metabolism (3 papers), Neural dynamics and brain function (3 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (317 citations), Surgery (390 citations), Biochemistry (58 citations), Cognitive Neuroscience (141 citations) and Cancer Research (94 citations). Lu Yu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jacques Genest, Betsie Boucher, Michel Marcil, Jinou Zheng, Stephanie Mott, Marjel van Dam, Kirsten Roomp, Maxime Denis, Susanne M. Clee and Keith Fichter. Their work appears in journals such as Epilepsy & Behavior, Neurological Sciences, Atherosclerosis, Epilepsy Research and European Journal of Oncology Nursing.
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.