Pascal Lu
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
Papers in
-
- Advanced Neuroimaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
-
- Dementia and Cognitive Impairment Research 2
- Co-authors
- Olivier Colliot (3 shared papers)Stanley Durrleman (1 shared paper)Arnaud Marcoux (1 shared paper)Jérémy Guillon (1 shared paper)Junhao Wen (1 shared paper)Anne Bertrand (1 shared paper)Alexandre Routier (1 shared paper)Jorge Samper‐Gonzàlez (1 shared paper)
- Journals
- Frontiers in Neuroinformatics (1 paper)NeuroImage (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (3 papers)DZNE Pub (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Pascal Lu
6 papers receiving 265 citations
Peers
Comparison fields: 5 of 48
- Neurology 70
- Psychiatry and Mental health 103
- Health Information Management 18
- Health Informatics 5
- Cognitive Neuroscience 61
Countries citing papers authored by Pascal Lu
This map shows the geographic impact of Pascal 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 Pascal Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Lu more than expected).
Fields of papers citing papers by Pascal Lu
This network shows the impact of papers produced by Pascal 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 Pascal Lu. The network helps show where Pascal Lu may publish in the future.
Co-authors
The 14 scholars most cited alongside Pascal 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 132 | |
| 2 | 2021 | 82 | |
| 3 | 2021 | 40 | |
| 4 | 2021 | 8 | |
| 5 | Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data | 2017 | 2 |
| 6 | 2020 | 2 |
About Pascal Lu
Pascal Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Cognitive Neuroscience, Physiology and Statistics, Probability and Uncertainty, having authored 6 papers that have together received 266 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (2 papers), Alzheimer's disease research and treatments (2 papers), Functional Brain Connectivity Studies (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Gene expression and cancer classification (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Health, Environment, Cognitive Aging (1 paper). The work is most often cited by research in Neurology (70 citations), Psychiatry and Mental health (103 citations), Health Information Management (18 citations), Health Informatics (5 citations) and Cognitive Neuroscience (61 citations). Pascal Lu has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Olivier Colliot, Stanley Durrleman, Arnaud Marcoux, Jérémy Guillon, Junhao Wen, Anne Bertrand, Alexandre Routier, Jorge Samper‐Gonzàlez, Sabrina Fontanella and Ninon Burgos. Their work appears in journals such as Frontiers in Neuroinformatics, NeuroImage, HAL (Le Centre pour la Communication Scientifique Directe) and DZNE Pub.
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.