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
Papers in
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- Lung Cancer Treatments and Mutations 14
- Lung Cancer Diagnosis and Treatment 9
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- Neural Networks Stability and Synchronization 6
- 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)Muhammad Farman (5 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)Journal of Network and Computer Applications (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Wei Ou
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 131
- Pulmonary and Respiratory Medicine 585
- Oncology 277
- Cancer Research 151
- Statistical and Nonlinear Physics 123
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 248 | |
| 2 | 2014 | 70 | |
| 3 | 2023 | 62 | |
| 4 | 2023 | 60 | |
| 5 | 2021 | 56 | |
| 6 | 2017 | 51 | |
| 7 | 2008 | 51 | |
| 8 | 2023 | 49 | |
| 9 | 2023 | 38 | |
| 10 | 2014 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2020 | 34 | |
| 13 | 2024 | 33 | |
| 14 | 2022 | 31 | |
| 15 | 2018 | 30 | |
| 16 | 2019 | 30 | |
| 17 | 2015 | 30 | |
| 18 | 2023 | 30 | |
| 19 | 2021 | 29 | |
| 20 | 2023 | 28 |
About Wei Ou
Wei Ou is a scholar working on Pulmonary and Respiratory Medicine, Computer Networks and Communications, Oncology, Molecular Biology and Artificial Intelligence, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (14 papers), Lung Cancer Diagnosis and Treatment (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Neural Networks Stability and Synchronization (6 papers), Lung Cancer Research Studies (5 papers), Neural Networks and Applications (4 papers), Blockchain Technology Applications and Security (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Pulmonary and Respiratory Medicine (585 citations), Oncology (277 citations), Cancer Research (151 citations) and Statistical and Nonlinear Physics (123 citations). Wei Ou has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Siyu Wang, Yi‐Long Wu, Xue-Ning Yang, Changjin Xu, Zixin Liu, Yicheng Pang, Ning Li, Muhammad Farman, Ye Xiong 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 Journal of Network and Computer Applications.
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.