Ting Ye

1.6k total citations
95 papers, 776 citations indexed

About

Ting Ye is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ting Ye has authored 95 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 8 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in Ting Ye's work include Advanced Causal Inference Techniques (23 papers), Statistical Methods in Clinical Trials (14 papers) and Statistical Methods and Inference (14 papers). Ting Ye is often cited by papers focused on Advanced Causal Inference Techniques (23 papers), Statistical Methods in Clinical Trials (14 papers) and Statistical Methods and Inference (14 papers). Ting Ye collaborates with scholars based in China, United States and United Kingdom. Ting Ye's co-authors include Jun Shao, Hyunseung Kang, Yifan Feng, Ji-guo Yu, Zhi-Jie Wang, Song Guo, Zhe Quan, Menggang Yu, Qingyuan Zhao and Yumei Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Hepatology.

In The Last Decade

Ting Ye

75 papers receiving 761 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ting Ye China 17 124 119 93 82 72 95 776
Stylianos Serghiou United States 13 175 1.4× 66 0.6× 13 0.1× 52 0.6× 88 1.2× 23 1.0k
Yiwei Zhang China 13 265 2.1× 72 0.6× 6 0.1× 51 0.6× 81 1.1× 78 1.1k
Moritz Berger Germany 14 19 0.2× 71 0.6× 125 1.3× 98 1.2× 24 0.3× 54 467
Christos S. Bartsocas Greece 19 179 1.4× 19 0.2× 30 0.3× 32 0.4× 74 1.0× 62 1.1k
Holger Schwender Germany 21 593 4.8× 32 0.3× 11 0.1× 61 0.7× 93 1.3× 109 1.5k
Michael J. Lopez United States 15 54 0.4× 98 0.8× 17 0.2× 16 0.2× 16 0.2× 54 1.2k
Julian Varghese Germany 16 190 1.5× 8 0.1× 9 0.1× 95 1.2× 63 0.9× 102 972
Marcel L. Müller Germany 16 179 1.4× 35 0.3× 6 0.1× 24 0.3× 115 1.6× 47 914
Nira Herrmann United States 12 36 0.3× 42 0.4× 11 0.1× 37 0.5× 26 0.4× 38 665

Countries citing papers authored by Ting Ye

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ting Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Ye. A scholar is included among the top collaborators of Ting Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Ye. Ting Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xiao, Guangqin, Yuting Chen, Ting Ye, et al.. (2025). Cancer-associated Fibroblast-like Cells Promote Osteosarcoma Metastasis by Upregulation of Phosphoserine Aminotransferase 1 and Activation of the mTOR/S6K Pathway. International Journal of Biological Sciences. 21(9). 4153–4171. 1 indexed citations
2.
Bannick, Marlena S., et al.. (2025). A general form of covariate adjustment in clinical trials under covariate-adaptive randomization. Biometrika. 112(3). asaf029–asaf029. 1 indexed citations
3.
4.
Wu, Yinxiang, Hyunseung Kang, & Ting Ye. (2025). A more robust approach to multivariable Mendelian randomization. Biometrika. 112(4). 1 indexed citations
5.
Jiang, Hongbo, et al.. (2025). $\mathsf {RobustHealth}$: Non-Interactive Privacy-Preserving System for Heterogeneous Mobile Health Diagnosis. IEEE Transactions on Mobile Computing. 1–15.
6.
Draanen, Jenna van, James Peng, Ting Ye, et al.. (2024). No change in substance use disorders or overdose after implementation of state Earned Income Tax Credit (EITC). Drug and Alcohol Dependence. 260. 111344–111344. 1 indexed citations
7.
Ye, Ting, Ted Westling, Lindsay C. Page, & Luke Keele. (2024). Nonparametric identification of causal effects in clustered observational studies with differential selection. Journal of the Royal Statistical Society Series A (Statistics in Society). 187(4). 1013–1036.
8.
Ye, Ting, et al.. (2024). Behavioral carry-over effect and power consideration in crossover trials. Biometrics. 80(2). 3 indexed citations
9.
Ye, Ting, Zhonghua Liu, Baoluo Sun, & Eric Tchetgen Tchetgen. (2024). GENIUS-MAWII: for robust Mendelian randomization with many weak invalid instruments. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(4). 1045–1067. 6 indexed citations
10.
Ye, Ting, et al.. (2023). Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability. Biometrika. 111(2). 691–705. 2 indexed citations
11.
12.
Ye, Ting, et al.. (2023). Mendelian randomization in hepatology: A review of principles, opportunities, and challenges. Hepatology. 81(6). 1836–1846. 2 indexed citations
13.
Ye, Ting, et al.. (2023). Screen media exposure and young children's vocabulary learning and development: A meta-analysis. Child Development. 94(5). 1398–1418. 29 indexed citations
14.
15.
Su, Wentao, et al.. (2023). Correlation Between GDF11 Serum Levels, Severity of Coronary Artery Lesions, and the Prognosis of Patients with ST-segment Elevation Myocardial Infarction. Journal of Cardiovascular Translational Research. 16(4). 938–947. 1 indexed citations
16.
Liu, Zhonghua, et al.. (2022). Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification and Estimation for Causal Inference. Biometrics. 79(3). 2208–2219. 15 indexed citations
17.
Chhabra, Gagan, Mary A. Ndiaye, Chandra K. Singh, et al.. (2020). PLK1 and NOTCH Positively Correlate in Melanoma and Their Combined Inhibition Results in Synergistic Modulations of Key Melanoma Pathways. Molecular Cancer Therapeutics. 20(1). 161–172. 22 indexed citations
18.
Liang, Muxuan, Ting Ye, & Haoda Fu. (2018). Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms. Statistics in Medicine. 37(27). 3869–3886. 8 indexed citations
19.
Ye, Ting & Menggang Yu. (2018). A Robust Approach to Sample Size Calculation in Cancer Immunotherapy Trials with Delayed Treatment Effect. Biometrics. 74(4). 1292–1300. 14 indexed citations
20.
Ye, Ting, et al.. (2017). Sample size calculations in clinical research, third edition, by Shein-Chung Chow, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina. SHILAP Revista de lepidopterología. 1(2). 265–266. 14 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stylianos Serghiou Breakdown of academic impact, for papers by Yiwei Zhang Breakdown of academic impact, for papers by Moritz Berger Breakdown of academic impact, for papers by Christos S. Bartsocas Breakdown of academic impact, for papers by Holger Schwender Breakdown of academic impact, for papers by Michael J. Lopez Breakdown of academic impact, for papers by Julian Varghese Breakdown of academic impact, for papers by Marcel L. Müller Breakdown of academic impact, for papers by Nira Herrmann
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