Jiaming Cui
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- Wound Healing and Treatments
Papers in
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- COVID-19 epidemiological studies 3
-
- Wound Healing and Treatments 3
- Co-authors
- Yihai He (4 shared papers)Chunling Zhu (3 shared papers)Changchao Gu (1 shared paper)B. Aditya Prakash (9 shared papers)Zhenzhen He (1 shared paper)Bijaya K. Adhikari (3 shared papers)Alexander Rodriguez Castillo (2 shared papers)Li Chen (3 shared papers)
- Journals
- Crop Protection (3 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Plant Disease (1 paper)Chemical Engineering Journal (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiaming Cui
31 papers receiving 384 citations
Jiaming Cui's Hit Papers
Peers
Comparison fields: 5 of 111
- Modeling and Simulation 139
- Rehabilitation 22
- Epidemiology 84
- Molecular Medicine 12
- Statistics, Probability and Uncertainty 17
Countries citing papers authored by Jiaming Cui
This map shows the geographic impact of Jiaming Cui'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 Jiaming Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Cui more than expected).
Fields of papers citing papers by Jiaming Cui
This network shows the impact of papers produced by Jiaming Cui. 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 Jiaming Cui. The network helps show where Jiaming Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Cui, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States Hit paper breakdown → | 2022 | 185 |
| 2 | 2017 | 38 | |
| 3 | 2021 | 29 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2024 | 2 |
About Jiaming Cui
Jiaming Cui is a scholar working on Modeling and Simulation, Rehabilitation, Cell Biology, Occupational Therapy and Biomaterials, having authored 38 papers that have together received 395 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (4 papers), COVID-19 epidemiological studies (3 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Wound Healing and Treatments (3 papers), Occupational Health and Safety Research (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Modeling and Simulation (139 citations), Rehabilitation (22 citations), Epidemiology (84 citations), Molecular Medicine (12 citations) and Statistics, Probability and Uncertainty (17 citations). Jiaming Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yihai He, Chunling Zhu, Changchao Gu, B. Aditya Prakash, Zhenzhen He, Bijaya K. Adhikari, Alexander Rodriguez Castillo, Li Chen, Anika Tabassum and Jiajia Xie. Their work appears in journals such as Crop Protection, Frontiers in Bioengineering and Biotechnology, Plant Disease, Chemical Engineering Journal and BMJ Open.
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.