Daibing Zhou
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 9
- Pancreatic and Hepatic Oncology Research 3
- Cancer-related Molecular Pathways 2
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- TGF-β signaling in diseases 3
- Co-authors
- Jian Ma (1 shared paper)Guoxiong Xu (7 shared papers)Weimin Ren (7 shared papers)Lingyun Zhang (6 shared papers)Wencai Guan (4 shared papers)Shengqing Li (11 shared papers)Wenwen Sun (3 shared papers)Jihong Zhang (3 shared papers)
In The Last Decade
Daibing Zhou
26 papers receiving 409 citations
Peers
Comparison fields: 5 of 87
- Computer Science Applications 33
- Cancer Research 70
- Information Systems 102
- Management Science and Operations Research 32
- Oncology 63
Countries citing papers authored by Daibing Zhou
This map shows the geographic impact of Daibing Zhou'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 Daibing Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daibing Zhou more than expected).
Fields of papers citing papers by Daibing Zhou
This network shows the impact of papers produced by Daibing Zhou. 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 Daibing Zhou. The network helps show where Daibing Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Daibing Zhou, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 119 | |
| 2 | 2017 | 67 | |
| 3 | 2018 | 48 | |
| 4 | 2017 | 31 | |
| 5 | 2018 | 25 | |
| 6 | 2021 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2017 | 15 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2004 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2021 | 3 |
About Daibing Zhou
Daibing Zhou is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 27 papers that have together received 428 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), TGF-β signaling in diseases (3 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Cancer Mechanisms and Therapy (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Computer Science Applications (33 citations), Cancer Research (70 citations), Information Systems (102 citations), Management Science and Operations Research (32 citations) and Oncology (63 citations). Daibing Zhou has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Jian Ma, Guoxiong Xu, Weimin Ren, Lingyun Zhang, Wencai Guan, Shengqing Li, Wenwen Sun, Jihong Zhang, Jimin Shi and Lubna Nadeem. Their work appears in journals such as Scientific Reports, Diagnostic Microbiology and Infectious Disease, Frontiers in Cellular and Infection Microbiology, Medicine and Molecular Carcinogenesis.
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.