Wei Ou
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Gastric Cancer Management and Outcomes
Papers in
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- Lung Cancer Treatments and Mutations 25
- Lung Cancer Diagnosis and Treatment 19
- Oncology 26
- Lung Cancer Research Studies 15
- Co-authors
- Siyu Wang (32 shared papers)Yi‐Long Wu (4 shared papers)Xue-Ning Yang (1 shared paper)Changjin Xu (10 shared papers)Zixin Liu (8 shared papers)Yicheng Pang (8 shared papers)Ning Li (5 shared papers)Ye Xiong (6 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Lung Cancer (4 papers)Cancer (3 papers)match Communications in Mathematical and in Computer Chemistry (2 papers)Network Computation in Neural Systems (1 paper)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Wei Ou
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 137
- Modeling and Simulation 128
- Pulmonary and Respiratory Medicine 700
- Oncology 437
- Cancer Research 188
- Statistical and Nonlinear Physics 110
Countries citing papers authored by Wei Ou
This map shows the geographic impact of Wei Ou'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 Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ou more than expected).
Fields of papers citing papers by Wei Ou
This network shows the impact of papers produced by Wei Ou. 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 Ou. The network helps show where Wei Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ou, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 234 | |
| 2 | 2014 | 69 | |
| 3 | 2023 | 58 | |
| 4 | 2023 | 58 | |
| 5 | 2021 | 53 | |
| 6 | 2008 | 50 | |
| 7 | 2017 | 49 | |
| 8 | 2023 | 44 | |
| 9 | 2023 | 36 | |
| 10 | 2014 | 35 | |
| 11 | 2020 | 33 | |
| 12 | 2024 | 32 | |
| 13 | 2017 | 30 | |
| 14 | 2018 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2014 | 28 | |
| 18 | 2023 | 28 | |
| 19 | 2021 | 27 | |
| 20 | 2011 | 27 |
About Wei Ou
Wei Ou is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Computer Networks and Communications and Cancer Research, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (25 papers), Lung Cancer Diagnosis and Treatment (19 papers), Lung Cancer Research Studies (15 papers), Cancer Genomics and Diagnostics (6 papers), Neural Networks Stability and Synchronization (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Neural Networks and Applications (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Modeling and Simulation (128 citations), Pulmonary and Respiratory Medicine (700 citations), Oncology (437 citations), Cancer Research (188 citations) and Statistical and Nonlinear Physics (110 citations). Wei Ou has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Siyu Wang, Yi‐Long Wu, Xue-Ning Yang, Changjin Xu, Zixin Liu, Yicheng Pang, Ning Li, Ye Xiong, Muhammad Farman and Hua Yang. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Cancer, match Communications in Mathematical and in Computer Chemistry and Network Computation in Neural Systems.
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.