Peixin Lu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Health Informatics top 10%
Papers in
-
- Brain Tumor Detection and Classification 2
- Neurological Disease Mechanisms and Treatments 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Long Lu (14 shared papers)Lianting Hu (6 shared papers)Xin Li (2 shared papers)Liang Hong (2 shared papers)Wei Lu (2 shared papers)Mengqi Luo (2 shared papers)Ruixue Wang (2 shared papers)Songfeng Chen (2 shared papers)
- Journals
- Multimedia Tools and Applications (2 papers)Frontiers in Aging Neuroscience (1 paper)Computational Intelligence and Neuroscience (1 paper)Library Hi Tech (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Peixin Lu
16 papers receiving 401 citations
Peers
Comparison fields: 5 of 107
- Neurology 89
- Health Informatics 14
- Health Information Management 39
- Clinical Psychology 59
- Cancer Research 35
Countries citing papers authored by Peixin Lu
This map shows the geographic impact of Peixin 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 Peixin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peixin Lu more than expected).
Fields of papers citing papers by Peixin Lu
This network shows the impact of papers produced by Peixin 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 Peixin Lu. The network helps show where Peixin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peixin 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 | 2019 | 93 | |
| 2 | 2018 | 49 | |
| 3 | 2021 | 46 | |
| 4 | 2020 | 45 | |
| 5 | 2020 | 42 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 22 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2021 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 0 |
About Peixin Lu
Peixin Lu is a scholar working on Molecular Biology, Neurology, Sociology and Political Science, Information Systems and Management and Health Information Management, having authored 17 papers that have together received 410 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (2 papers), Autism Spectrum Disorder Research (2 papers), Digital Marketing and Social Media (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Dementia and Cognitive Impairment Research (2 papers), Artificial Intelligence in Healthcare (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Neurology (89 citations), Health Informatics (14 citations), Health Information Management (39 citations), Clinical Psychology (59 citations) and Cancer Research (35 citations). Peixin Lu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Long Lu, Lianting Hu, Xin Li, Liang Hong, Wei Lu, Mengqi Luo, Ruixue Wang, Songfeng Chen, Meng‐Xian Pan and Jun‐Chun Tang. Their work appears in journals such as Multimedia Tools and Applications, Frontiers in Aging Neuroscience, Computational Intelligence and Neuroscience, Library Hi Tech and International Journal of Environmental Research and Public Health.
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.