Ting Ye
Impact in
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Ophthalmology top 5%
- Intraocular Surgery and Lenses
Papers in
-
- Advanced Causal Inference Techniques 24
- Statistical Methods in Clinical Trials 16
- Statistical Methods and Inference 15
- Statistical Methods and Bayesian Inference 10
- Co-authors
- Jun Shao (8 shared papers)Yanyao Yi (9 shared papers)Hyunseung Kang (2 shared papers)Yifan Feng (4 shared papers)Zhe Quan (2 shared papers)Ji-guo Yu (4 shared papers)Zhi-Jie Wang (1 shared paper)Menggang Yu (4 shared papers)
- Journals
- Biometrics (7 papers)Biometrika (4 papers)Journal of the American Statistical Association (4 papers)Statistics in Medicine (3 papers)Electronic Journal of Statistics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ting Ye
80 papers receiving 828 citations
Peers
Comparison fields: 5 of 144
- Statistics and Probability 122
- Ophthalmology 52
- Biological Psychiatry 13
- Microbiology 34
- Molecular Medicine 25
Countries citing papers authored by Ting Ye
This map shows the geographic impact of Ting Ye'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 Ting Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Ye more than expected).
Fields of papers citing papers by Ting Ye
This network shows the impact of papers produced by Ting Ye. 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 Ting Ye. The network helps show where Ting Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Ye, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 68 | |
| 2 | 2013 | 48 | |
| 3 | 2019 | 48 | |
| 4 | 2022 | 45 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 33 | |
| 7 | 2020 | 31 | |
| 8 | 2012 | 30 | |
| 9 | 2012 | 27 | |
| 10 | 2016 | 26 | |
| 11 | 2021 | 25 | |
| 12 | 2021 | 25 | |
| 13 | 2020 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2017 | 20 | |
| 17 | 2022 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2022 | 15 |
About Ting Ye
Ting Ye is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering and Information Systems, having authored 100 papers that have together received 846 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (24 papers), Statistical Methods in Clinical Trials (16 papers), Statistical Methods and Inference (15 papers), Statistical Methods and Bayesian Inference (10 papers), Genetic Associations and Epidemiology (5 papers), High voltage insulation and dielectric phenomena (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Statistics and Probability (122 citations), Ophthalmology (52 citations), Biological Psychiatry (13 citations), Microbiology (34 citations) and Molecular Medicine (25 citations). Ting Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Shao, Yanyao Yi, Hyunseung Kang, Yifan Feng, Zhe Quan, Ji-guo Yu, Zhi-Jie Wang, Menggang Yu, Qingyuan Zhao and Song Guo. Their work appears in journals such as Biometrics, Biometrika, Journal of the American Statistical Association, Statistics in Medicine and Electronic Journal of Statistics.
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.