Peng Ding

8.6k total citations · 2 hit papers
83 papers, 5.3k citations indexed

About

Peng Ding is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Peng Ding has authored 83 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Statistics and Probability, 13 papers in Economics and Econometrics and 7 papers in Artificial Intelligence. Recurrent topics in Peng Ding's work include Advanced Causal Inference Techniques (59 papers), Statistical Methods and Inference (47 papers) and Statistical Methods and Bayesian Inference (37 papers). Peng Ding is often cited by papers focused on Advanced Causal Inference Techniques (59 papers), Statistical Methods and Inference (47 papers) and Statistical Methods and Bayesian Inference (37 papers). Peng Ding collaborates with scholars based in United States, China and Singapore. Peng Ding's co-authors include Tyler J. VanderWeele, Maya B. Mathur, Corinne A. Riddell, Xinran Li, Fan Li, Shu Yang, Avi Feller, Luke Miratrix, Jiannan Lu and Zhichao Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Peng Ding

72 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sensitivity Analysis in Observational Research: Introducing the E-Value

2017 3.5k citations Tyler J. VanderWeele, Peng Ding profile →
Web Site and R Package for Computing E-values

2018 493 citations Maya B. Mathur, Peng Ding et al. Epidemiology profile →

Peers

Countries citing papers authored by Peng Ding

Since Specialization

Citations

This map shows the geographic impact of Peng Ding'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 Peng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Ding more than expected).

Fields of papers citing papers by Peng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng Ding. 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 Peng Ding. The network helps show where Peng Ding may publish in the future.

Co-authorship network of co-authors of Peng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ding. A scholar is included among the top collaborators of Peng Ding 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 Peng Ding. Peng Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Students’ association of poor eye-use behavior with myopia: focus on study phase 2025 ·BMC Ophthalmology ·Tingting Li, (unknown), Xiaoling Liu, Cao Chen, Peng Ding, Shaojun Xu, Shuman Tao, Xiaoyan Wu, Fangbiao Tao	0
2	The safety and efficacy of posterior scleral reinforcement with bovine pericardial patch in progressive high myopia: a retrospective study 2025 ·BMC Ophthalmology ·Yuting Gao, Yuzhu Luo, Yue Zhao, Xinchen Wang, Tongcheng Xu, Jingjing Ding, (unknown), Peng Ding, Heting Liu	0
3	Causal inference in network experiments: Regression-based analysis and design-based properties 2025 ·Journal of Econometrics ·(unknown), Peng Ding	0
4	Assessing Causal Effects in the Presence of Treatment Switching Through Principal Stratification 2024 ·Bayesian Analysis ·Alessandra Mattei, Peng Ding, (unknown), Fabrizia Mealli	4
5	Real Effect or Bias? Good Practices for Evaluating the Robustness of Evidence From Comparative Observational Studies Through Quantitative Sensitivity Analysis for Unmeasured Confounding 2024 ·Pharmaceutical Statistics ·Douglas E. Faries, (unknown), Xiang Zhang, Chad Hazlett, James D. Stamey, Shu Yang, Peng Ding, Mingyang Shan, Kristin M. Sheffield, Nancy A Dreyer	0
6	Role of radiotherapy in extensive-stage small cell lung cancer after durvalumab-based immunochemotherapy: A retrospective study 2024 ·Chinese Medical Journal ·(unknown), Yi Wen Kong, Fan Tong, Ruiguang Zhang, Peng Ding, Sheng Zhang, Ye Wang, Rui Zhou, Xingxiang Pu, (unknown), Fei Liang, (unknown), Yu Xu, Lin Wu, (unknown)	1
7	A Randomization-Based Theory for Preliminary Testing of Covariate Balance in Controlled Trials 2023 ·Statistics in Biopharmaceutical Research ·(unknown), Peng Ding	2
8	Power and sample size calculations for rerandomization 2023 ·Biometrika ·(unknown), Xinran Li, Peng Ding	4
9	An instrumental variable method for point processes: generalized Wald estimation based on deconvolution 2023 ·Biometrika ·Zhichao Jiang, Shizhe Chen, Peng Ding	2
10	Posterior Predictive Propensity Scores and p-Values 2023 ·Peng Ding, Tianyu Guo	1
11	To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates 2022 ·Journal of the American Statistical Association ·(unknown), Peng Ding	19
12	Two seemingly paradoxical results in linear models: the variance inflation factor and the analysis of covariance 2021 ·SHILAP Revista de lepidopterología ·Peng Ding	5
13	Combining Multiple Observational Data Sources to Estimate Causal Effects 2019 ·Journal of the American Statistical Association ·Shu Yang, Peng Ding	34
14	Web Site and R Package for Computing E-values breakdown → 2018 ·Epidemiology ·Maya B. Mathur, Peng Ding, Corinne A. Riddell, Tyler J. VanderWeele	493
15	Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores 2018 ·Biometrika ·Shu Yang, Peng Ding	41
16	Randomization Tests for Weak Null Hypotheses 2018 ·arXiv (Cornell University) ·Jason Wu, Peng Ding	2
17	Nonparametric identification of causal effects with confounders subject to instrumental missingness 2017 ·arXiv (Cornell University) ·Shu Yang, Linbo Wang, Peng Ding	1
18	Bridging Finite and Super Population Causal Inference 2017 ·SHILAP Revista de lepidopterología ·Peng Ding, Xinran Li, Luke Miratrix	22
19	The association between smoking quantity and hypertension mediated by inflammation in Chinese current smokers 2013 ·Journal of Hypertension ·Dan Feng, Tao Liu, Dongfang Su, Hui Wang, Peng Ding, Yanhui He, Xueqing Deng, Mengjun Hou, Wenhua Ling, Weiqing Chen	16
20	Bayesian robust inference of sample selection using selection-tmodels 2013 ·Journal of Multivariate Analysis ·Peng Ding	31

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.

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