Jiang Deng
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction
Papers in
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 8
- Cytomegalovirus and herpesvirus research 6
- Co-authors
- Ning Jia (5 shared papers)Jun Xiao (7 shared papers)Xin Song (1 shared paper)Ping Ma (7 shared papers)Xu Han (1 shared paper)Yanfei Lan (1 shared paper)Xin Song (3 shared papers)Jinbo Xu (4 shared papers)
- Journals
- Viruses (2 papers)BMC Gastroenterology (2 papers)Medicine (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesNepal
In The Last Decade
Jiang Deng
38 papers receiving 349 citations
Jiang Deng's Hit Papers
Peers
Comparison fields: 5 of 123
- Modeling and Simulation 32
- Accounting 48
- Epidemiology 99
- Nephrology 16
- Artificial Intelligence 71
Countries citing papers authored by Jiang Deng
This map shows the geographic impact of Jiang Deng'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 Jiang Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Deng more than expected).
Fields of papers citing papers by Jiang Deng
This network shows the impact of papers produced by Jiang Deng. 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 Jiang Deng. The network helps show where Jiang Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Deng, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 63 | |
| 2 | 2019 | 35 | |
| 3 | 2021 | 28 | |
| 4 | 2015 | 26 | |
| 5 | 2021 | 18 | |
| 6 | 2019 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 14 | |
| 10 | Turbulence affected by submerged aquatic vegetation under wind-induced flow Hit paper breakdown → | 2025 | 14 |
| 11 | 2021 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2016 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 7 | |
| 16 | Elevated vascular endothelial growth factor levels in the vitreous of patients with proliferative diabetic retinopathy. | 1999 | 7 |
| 17 | 2025 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2017 | 5 |
About Jiang Deng
Jiang Deng is a scholar working on Epidemiology, Molecular Biology, Immunology, Artificial Intelligence and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 356 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Cytomegalovirus and herpesvirus research (6 papers), Imbalanced Data Classification Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers), Diet, Metabolism, and Disease (4 papers), Immune Cell Function and Interaction (3 papers), Artificial Intelligence in Healthcare (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Accounting (48 citations), Epidemiology (99 citations), Nephrology (16 citations) and Artificial Intelligence (71 citations). Jiang Deng has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Ning Jia, Jun Xiao, Xin Song, Ping Ma, Xu Han, Yanfei Lan, Xin Song, Jinbo Xu, Mimi Zhou and Xiaolan Lu. Their work appears in journals such as Viruses, BMC Gastroenterology, Medicine, International Journal of Machine Learning and Cybernetics and Scientific Reports.
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.