Dingdong Yi
Impact in
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- Mosquito-borne diseases and control
- Malaria Research and Control
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
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- Forecasting Techniques and Applications 1
- Psychometric Methodologies and Testing 1
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- Statistical Methods and Bayesian Inference 1
- Probability and Statistical Research 1
- Co-authors
- Shaoyang Ning (1 shared paper)Samuel C. Kou (1 shared paper)Xinran Li (1 shared paper)Jun S. Liu (2 shared papers)Xufei Wang (1 shared paper)Benjamin D. Smith (1 shared paper)Eric Qiong Wu (1 shared paper)Shivani K. Mhatre (1 shared paper)
- Journals
- Blood (1 paper)Nature Microbiology (1 paper)Journal of the American Statistical Association (1 paper)Statistical Science (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Dingdong Yi
4 papers receiving 913 citations
Dingdong Yi's Hit Papers
Peers
Comparison fields: 5 of 65
- Public Health, Environmental and Occupational Health 699
- Ecological Modeling 20
- Insect Science 70
- Health, Toxicology and Mutagenesis 52
- Parasitology 13
Countries citing papers authored by Dingdong Yi
This map shows the geographic impact of Dingdong Yi'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 Dingdong Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingdong Yi more than expected).
Fields of papers citing papers by Dingdong Yi
This network shows the impact of papers produced by Dingdong Yi. 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 Dingdong Yi. The network helps show where Dingdong Yi may publish in the future.
Co-authors
The 13 scholars most cited alongside Dingdong Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus Hit paper breakdown → | 2019 | 921 |
| 2 | 2021 | 13 | |
| 3 | 2022 | 7 | |
| 4 | 2014 | 1 |
About Dingdong Yi
Dingdong Yi is a scholar working on Management Science and Operations Research, Statistics and Probability, Hematology, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 4 papers that have together received 942 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (1 paper), Mosquito-borne diseases and control (1 paper), Forecasting Techniques and Applications (1 paper), Probability and Statistical Research (1 paper), Psychometric Methodologies and Testing (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (699 citations), Ecological Modeling (20 citations), Insect Science (70 citations), Health, Toxicology and Mutagenesis (52 citations) and Parasitology (13 citations). Dingdong Yi has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Shaoyang Ning, Samuel C. Kou, Xinran Li, Jun S. Liu, Xufei Wang, Benjamin D. Smith, Eric Qiong Wu, Shivani K. Mhatre, Christopher Hunt Keir and Lei Chen. Their work appears in journals such as Blood, Nature Microbiology, Journal of the American Statistical Association and Statistical Science.
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.