Weimiao Wu
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
- Oncology 11
- Colorectal Cancer Screening and Detection 10
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- Gastric Cancer Management and Outcomes 8
- Co-authors
- Raymond H. Mak (1 shared paper)Patrick Großmann (1 shared paper)Hugo J.W.L. Aerts (1 shared paper)John Quackenbush (1 shared paper)Johan Bussink (1 shared paper)Philippe Lambin (1 shared paper)Chintan Parmar (1 shared paper)Zuoheng Wang (7 shared papers)
- Journals
- Cancer Medicine (2 papers)Frontiers in Oncology (2 papers)Theoretical and Applied Genetics (1 paper)PLoS Medicine (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weimiao Wu
19 papers receiving 460 citations
Weimiao Wu's Hit Papers
Peers
Comparison fields: 5 of 71
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 290
- Pulmonary and Respiratory Medicine 222
- Oncology 98
- Artificial Intelligence 83
Countries citing papers authored by Weimiao Wu
This map shows the geographic impact of Weimiao Wu'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 Weimiao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weimiao Wu more than expected).
Fields of papers citing papers by Weimiao Wu
This network shows the impact of papers produced by Weimiao Wu. 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 Weimiao Wu. The network helps show where Weimiao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weimiao Wu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology Hit paper breakdown → | 2016 | 299 |
| 2 | 2019 | 21 | |
| 3 | 2020 | 20 | |
| 4 | 1994 | 19 | |
| 5 | 2013 | 18 | |
| 6 | 2013 | 18 | |
| 7 | 2021 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Weimiao Wu
Weimiao Wu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Surgery and Molecular Biology, having authored 22 papers that have together received 465 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (10 papers), Gastric Cancer Management and Outcomes (8 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (3 papers), Single-cell and spatial transcriptomics (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Genetic Associations and Epidemiology (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (290 citations), Pulmonary and Respiratory Medicine (222 citations), Oncology (98 citations) and Artificial Intelligence (83 citations). Weimiao Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Raymond H. Mak, Patrick Großmann, Hugo J.W.L. Aerts, John Quackenbush, Johan Bussink, Philippe Lambin, Chintan Parmar, Zuoheng Wang, Wanghong Xu and Xiting Yan. Their work appears in journals such as Cancer Medicine, Frontiers in Oncology, Theoretical and Applied Genetics, PLoS Medicine and BMC Bioinformatics.
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.