Ning Wu
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
-
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
Papers in
-
- Lung Cancer Diagnosis and Treatment 54
- Lung Cancer Treatments and Mutations 20
-
- Radiomics and Machine Learning in Medical Imaging 35
- Medical Imaging Techniques and Applications 9
- MRI in cancer diagnosis 8
- Co-authors
- Wei Tang (22 shared papers)Meng Li (17 shared papers)Ying Song (2 shared papers)Jianwei Wang (5 shared papers)Yao Huang (19 shared papers)Matthew D. Cham (1 shared paper)Claudia I. Henschke (3 shared papers)Ying Liang (10 shared papers)
- Journals
- PLoS ONE (5 papers)Journal of Clinical Oncology (5 papers)Scientific Reports (5 papers)Cancer Imaging (4 papers)European Radiology (4 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Ning Wu
169 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 865
- Pulmonary and Respiratory Medicine 1.1k
- Oncology 333
- Cancer Research 164
- Health Informatics 11
Countries citing papers authored by Ning Wu
This map shows the geographic impact of Ning 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 Ning Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Wu more than expected).
Fields of papers citing papers by Ning Wu
This network shows the impact of papers produced by Ning 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 Ning Wu. The network helps show where Ning Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 151 | |
| 2 | 2009 | 115 | |
| 3 | 2006 | 96 | |
| 4 | 2019 | 87 | |
| 5 | 2020 | 84 | |
| 6 | 2015 | 76 | |
| 7 | 2015 | 75 | |
| 8 | 2019 | 71 | |
| 9 | 2015 | 70 | |
| 10 | 2020 | 67 | |
| 11 | 2021 | 67 | |
| 12 | 2015 | 54 | |
| 13 | 2020 | 52 | |
| 14 | 2013 | 48 | |
| 15 | 2006 | 47 | |
| 16 | 2022 | 44 | |
| 17 | 2023 | 44 | |
| 18 | 2016 | 43 | |
| 19 | 2012 | 40 | |
| 20 | 2018 | 40 |
About Ning Wu
Ning Wu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering and Surgery, having authored 180 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (54 papers), Radiomics and Machine Learning in Medical Imaging (35 papers), Lung Cancer Treatments and Mutations (20 papers), Cancer Immunotherapy and Biomarkers (10 papers), Medical Imaging Techniques and Applications (9 papers), MRI in cancer diagnosis (8 papers), Advanced X-ray and CT Imaging (8 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (865 citations), Pulmonary and Respiratory Medicine (1.1k citations), Oncology (333 citations), Cancer Research (164 citations) and Health Informatics (11 citations). Ning Wu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Wei Tang, Meng Li, Ying Song, Jianwei Wang, Yao Huang, Matthew D. Cham, Claudia I. Henschke, Ying Liang, Weimin Li and Li Zhang. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, Scientific Reports, Cancer Imaging and European Radiology.
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.