Zhiqiang Tan

3.1k total citations
109 papers, 1.9k citations indexed

About

Zhiqiang Tan is a scholar working on Statistics and Probability, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Zhiqiang Tan has authored 109 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 19 papers in Computational Mechanics and 19 papers in Artificial Intelligence. Recurrent topics in Zhiqiang Tan's work include Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (26 papers) and Advanced Causal Inference Techniques (19 papers). Zhiqiang Tan is often cited by papers focused on Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (26 papers) and Advanced Causal Inference Techniques (19 papers). Zhiqiang Tan collaborates with scholars based in United States, China and Netherlands. Zhiqiang Tan's co-authors include Pei‐feng Hsu, Ronald M. Levy, John R. Howell, Emilio Gallicchio, Mauro Lapelosa, Bin W. Zhang, Junchao Xia, Dylan S. Small, Philip L. Varghese and Peter McCullagh and has published in prestigious journals such as The Journal of Chemical Physics, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Zhiqiang Tan

101 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiqiang Tan United States 25 734 357 300 181 155 109 1.9k
Grigorios A. Pavliotis United Kingdom 25 277 0.4× 498 1.4× 237 0.8× 73 0.4× 40 0.3× 99 2.4k
John P. Nolan United States 22 348 0.5× 100 0.3× 130 0.4× 377 2.1× 39 0.3× 61 1.8k
Yury A. Kutoyants France 16 745 1.0× 71 0.2× 171 0.6× 159 0.9× 23 0.1× 89 2.1k
E. Ben‐Naim United States 32 121 0.2× 940 2.6× 312 1.0× 225 1.2× 109 0.7× 103 3.8k
Jianhua Z. Huang United States 23 949 1.3× 208 0.6× 271 0.9× 186 1.0× 8 0.1× 68 2.1k
Paul Marriott United Kingdom 15 190 0.3× 148 0.4× 70 0.2× 74 0.4× 17 0.1× 53 1.2k
Rabi Bhattacharya United States 23 536 0.7× 99 0.3× 74 0.2× 206 1.1× 22 0.1× 63 1.9k
R. S. Mendes Brazil 31 180 0.2× 74 0.2× 131 0.4× 753 4.2× 20 0.1× 115 2.5k
Young Sun Lee United States 37 78 0.1× 180 0.5× 109 0.4× 37 0.2× 91 0.6× 164 5.3k
C. Stein United States 11 471 0.6× 65 0.2× 124 0.4× 71 0.4× 62 0.4× 12 1.4k

Countries citing papers authored by Zhiqiang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Zhiqiang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiqiang Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiqiang Tan. A scholar is included among the top collaborators of Zhiqiang Tan 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 Zhiqiang Tan. Zhiqiang Tan 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.
Wei, Jun-Jie, Jie Ma, Hao Lu, et al.. (2025). Quantitative analysis of [18F]CHL2310, a novel PET ligand for cholesterol 24-Hydroxylase, in nonhuman primate brain. European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 2004–2017. 1 indexed citations
2.
Wang, Xiang, Bang Li, Qingqing Jia, et al.. (2024). Pathologic TDP‐43 downregulates myelin gene expression in the monkey brain. Brain Pathology. 34(6). e13277–e13277. 2 indexed citations
3.
Tan, Zhiqiang. (2024). Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(5). 1339–1363. 2 indexed citations
4.
Li, Ying, Zhiqiang Tan, Ziqing Zhou, et al.. (2024). Identifying the genetic association between severe autoimmune type 2 diabetes and the risk of focal epilepsy. Frontiers in Endocrinology. 15. 1396912–1396912.
5.
Tan, Zhiqiang, et al.. (2023). Persistently trained, diffusion‐assisted energy‐based models. Stat. 12(1). 1 indexed citations
6.
Tan, Zhiqiang, et al.. (2022). Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data. Statistica Sinica. 2 indexed citations
7.
Tan, Zhiqiang, et al.. (2022). A New Approach to Dealing with the PAPR Problem for OFDM Systems via Deep Learning. 252–256. 1 indexed citations
8.
Tan, Zhiqiang, et al.. (2022). Doubly robust semiparametric inference using regularized calibrated estimation with high-dimensional data. Bernoulli. 28(3). 10 indexed citations
9.
Yin, Peng, Chen Zhang, Bang Li, et al.. (2021). SQSTM1-mediated clearance of cytoplasmic mutant TARDBP/TDP-43 in the monkey brain. Autophagy. 18(8). 1955–1968. 10 indexed citations
10.
Stroup, T. Scott, Tobias Gerhard, Stephen Crystal, et al.. (2019). Comparative Effectiveness of Adjunctive Psychotropic Medications in Patients With Schizophrenia. JAMA Psychiatry. 76(5). 508–508. 32 indexed citations
11.
Tan, Zhiqiang. (2019). On doubly robust estimation for logistic partially linear models. Statistics & Probability Letters. 155. 108577–108577. 9 indexed citations
12.
Flynn, William F., Max W. Chang, Zhiqiang Tan, et al.. (2015). Deep Sequencing of Protease Inhibitor Resistant HIV Patient Isolates Reveals Patterns of Correlated Mutations in Gag and Protease. PLoS Computational Biology. 11(4). e1004249–e1004249. 29 indexed citations
13.
Wang, Bin, Zhijian Ou, & Zhiqiang Tan. (2015). Trans-dimensional Random Fields for Language Modeling. 785–794. 9 indexed citations
14.
Tan, Zhiqiang. (2014). Second-order asymptotic theory for calibration estimators in sampling and missing-data problems. Journal of Multivariate Analysis. 131. 240–253. 6 indexed citations
15.
Tan, Zhiqiang, et al.. (2012). SEO Keyword Analysis and Its Application in Website Editing System. 1–4. 14 indexed citations
16.
Tan, Zhiqiang. (2007). Demystifying double Rogbustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. Comment.. Statistical Science. 560–568. 2 indexed citations
17.
Tan, Zhiqiang. (2006). A Distributional Approach for Causal Inference Using Propensity Scores. Journal of the American Statistical Association. 101(476). 1619–1637. 152 indexed citations
18.
Tan, Zhiqiang. (2005). Estimation of Causal Effects Using Instrumental Variables. Data in Brief. 15. 709–711. 3 indexed citations
19.
Tan, Zhiqiang & Pei‐feng Hsu. (2000). An Integral Formulation of Transient Radiative Transfer. Journal of Heat Transfer. 123(3). 466–475. 98 indexed citations
20.
Tan, Zhiqiang & Philip L. Varghese. (1994). The Δ-ε Method for the Boltzmann Equation. Journal of Computational Physics. 110(2). 327–340. 27 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.

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