Wei Hou
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
- Brain Tumor Detection and Classification
Papers in
-
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 2
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Zhentao Hu (1 shared paper)Zheng Wang (1 shared paper)Yong Jin (1 shared paper)Zhongjie Hu (6 shared papers)Lianchun Liang (2 shared papers)Bin Xu (2 shared papers)Ronghua Jin (2 shared papers)Wei Zhang (1 shared paper)
- Journals
- Spine (3 papers)Frontiers in Pediatrics (3 papers)Chemico-Biological Interactions (1 paper)PLoS ONE (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Hou
34 papers receiving 520 citations
Wei Hou's Hit Papers
Peers
Comparison fields: 5 of 84
- Infectious Diseases 151
- Neurology 58
- Health Information Management 27
- Neurology 68
- Hepatology 30
Countries citing papers authored by Wei Hou
This map shows the geographic impact of Wei Hou'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 Wei Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Hou more than expected).
Fields of papers citing papers by Wei Hou
This network shows the impact of papers produced by Wei Hou. 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 Wei Hou. The network helps show where Wei Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Hou, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer’s disease prediction Hit paper breakdown → | 2022 | 113 |
| 2 | 2020 | 92 | |
| 3 | 2020 | 79 | |
| 4 | 2020 | 71 | |
| 5 | 2010 | 20 | |
| 6 | 2006 | 19 | |
| 7 | 2011 | 17 | |
| 8 | 2011 | 17 | |
| 9 | 2021 | 12 | |
| 10 | 2010 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 2 |
About Wei Hou
Wei Hou is a scholar working on Infectious Diseases, Neurology, Surgery, Pharmacology and Pathology and Forensic Medicine, having authored 40 papers that have together received 529 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 and healthcare impacts (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Pregnancy-related medical research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Dental Health and Care Utilization (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Infectious Diseases (151 citations), Neurology (58 citations), Health Information Management (27 citations), Neurology (68 citations) and Hepatology (30 citations). Wei Hou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhentao Hu, Zheng Wang, Yong Jin, Zhongjie Hu, Lianchun Liang, Bin Xu, Ronghua Jin, Wei Zhang, Mitchell L. Schubert and Lili Zhang. Their work appears in journals such as Spine, Frontiers in Pediatrics, Chemico-Biological Interactions, PLoS ONE and Frontiers in Microbiology.
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.