Zheng Tracy Ke

976 total citations
31 papers, 357 citations indexed

About

Zheng Tracy Ke is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Zheng Tracy Ke has authored 31 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 7 papers in Statistics and Probability. Recurrent topics in Zheng Tracy Ke's work include Complex Network Analysis Techniques (10 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Zheng Tracy Ke is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Zheng Tracy Ke collaborates with scholars based in United States, China and Netherlands. Zheng Tracy Ke's co-authors include Jiashun Jin, Jianqing Fan, Yichao Wu, Bryan T. Kelly, Dacheng Xiu, Pengsheng Ji, Wan‐Shan Li, Xihong Lin, Milda R. Saunders and Haena Lee and has published in prestigious journals such as Journal of the American Statistical Association, Human Molecular Genetics and Journal of Econometrics.

In The Last Decade

Zheng Tracy Ke

26 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zheng Tracy Ke United States	12	113	113	84	65	47	31	357
Xuening Zhu China	9	83 0.7×	67 0.6×	116 1.4×	153 2.4×	44 0.9×	41	366
Tengyuan Liang United States	8	67 0.6×	96 0.8×	13 0.2×	20 0.3×	21 0.4×	24	211
Vladimir Boginski United States	4	13 0.1×	44 0.4×	91 1.1×	81 1.2×	37 0.8×	6	283
Martin Jacobsen Denmark	11	173 1.5×	59 0.5×	23 0.3×	33 0.5×	103 2.2×	20	377
Xin Dang United States	11	146 1.3×	190 1.7×	6 0.1×	27 0.4×	38 0.8×	44	462
Jussi Klemelä Germany	11	165 1.5×	124 1.1×	8 0.1×	40 0.6×	26 0.6×	27	320
Τ. N. Sriram United States	13	371 3.3×	210 1.9×	14 0.2×	28 0.4×	112 2.4×	51	566
Marco Ferrante Italy	13	22 0.2×	101 0.9×	30 0.4×	64 1.0×	173 3.7×	43	432
Duy Nguyen United States	13	56 0.5×	37 0.3×	14 0.2×	132 2.0×	530 11.3×	72	715
Takashi Seo Japan	12	362 3.2×	112 1.0×	8 0.1×	26 0.4×	29 0.6×	77	463

Countries citing papers authored by Zheng Tracy Ke

Since Specialization

Citations

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

Fields of papers citing papers by Zheng Tracy Ke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zheng Tracy Ke. 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 Zheng Tracy Ke. The network helps show where Zheng Tracy Ke may publish in the future.

Co-authorship network of co-authors of Zheng Tracy Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Tracy Ke. A scholar is included among the top collaborators of Zheng Tracy Ke 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 Zheng Tracy Ke. Zheng Tracy Ke 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

Ke, Zheng Tracy, et al.. (2026). A Comparison of DeepSeek and other LLMs. The American Statistician. 80(1). 164–176.

Cai, Tianxi, David L. Donoho, Haoda Fu, et al.. (2025). Statistics and AI: A Fireside Conversation. Harvard Data Science Review. 7(2).

Liu, Xiaorui, et al.. (2025). LLMs driven fusion AI-AD system for mechanical design: From understanding to generation. Advanced Engineering Informatics. 68. 103745–103745.

Jin, Jiashun, Zheng Tracy Ke, Jiajun Tang, & Jingming Wang. (2025). Network Goodness-of-Fit for the Block-Model Family. Journal of the American Statistical Association. 120(551). 1919–1932.

Cai, Tommaso, et al.. (2024). Testing high-dimensional multinomials with applications to text analysis. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(4). 922–942. 1 indexed citations

Ke, Zheng Tracy & Jingming Wang. (2024). Optimal Network Membership Estimation under Severe Degree Heterogeneity. Journal of the American Statistical Association. 120(550). 948–962. 2 indexed citations

Jin, Jianshi, et al.. (2024). Optimal Network Pairwise Comparison. Journal of the American Statistical Association. 120(550). 1048–1062.

Jin, Jiashun, et al.. (2023). Mixed membership estimation for social networks. Journal of Econometrics. 239(2). 105369–105369. 13 indexed citations

Ke, Zheng Tracy & Jiashun Jin. (2023). Special invited paper: The SCORE normalization, especially for heterogeneous network and text data. Stat. 12(1). 6 indexed citations

10.

Ke, Zheng Tracy, et al.. (2023). Power enhancement and phase transitions for global testing of the mixed membership stochastic block model. Bernoulli. 29(3). 2 indexed citations

11.

Ke, Zheng Tracy, Pengsheng Ji, Jiashun Jin, & Wan‐Shan Li. (2023). Recent Advances in Text Analysis. Annual Review of Statistics and Its Application. 11(1). 347–372. 3 indexed citations

12.

Ke, Zheng Tracy, et al.. (2022). Using SVD for Topic Modeling. Journal of the American Statistical Association. 119(545). 434–449. 4 indexed citations

13.

Ji, Pengsheng, Jianshi Jin, Zheng Tracy Ke, & Wan‐Shan Li. (2022). Rejoinder: “Co-citation and Co-authorship Networks of Statisticians”. Journal of Business and Economic Statistics. 40(2). 499–504. 2 indexed citations

14.

Chen, Danfeng, Katherine Tashman, Duncan S. Palmer, et al.. (2021). A data harmonization pipeline to leverage external controls and boost power in GWAS. Human Molecular Genetics. 31(3). 481–489. 5 indexed citations

15.

Jin, Jiashun, et al.. (2021). Improvements on SCORE, Especially for Weak Signals. Sankhya A. 84(1). 127–162. 13 indexed citations

16.

Ji, Pengsheng, Jiashun Jin, Zheng Tracy Ke, & Wan‐Shan Li. (2021). Co-citation and Co-authorship Networks of Statisticians. Journal of Business and Economic Statistics. 40(2). 469–485. 37 indexed citations

17.

Ke, Zheng Tracy, et al.. (2020). Fault classification algorithm for smart meters based on multi-dimensional model fusion and big data flow analysis. 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE). 1502–1506. 1 indexed citations

18.

Lee, Haena, et al.. (2018). Racial disparities in kidney transplant waitlist appearance in Chicago: Is it race or place?. Clinical Transplantation. 32(5). e13195–e13195. 19 indexed citations

19.

Ke, Zheng Tracy, Jiashun Jin, & Jianqing Fan. (2014). Covariate assisted screening and estimation. The Annals of Statistics. 42(6). 2202–2242. 23 indexed citations

20.

Ke, Zheng Tracy. (2012). Target Shape Description Method and Application Using Border Signature. 1 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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