Jin‐Ting Zhang

1.8k total citations
71 papers, 1.2k citations indexed

About

Jin‐Ting Zhang is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jin‐Ting Zhang has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Jin‐Ting Zhang's work include Statistical Methods and Inference (30 papers), Bayesian Methods and Mixture Models (22 papers) and Statistical Methods and Bayesian Inference (19 papers). Jin‐Ting Zhang is often cited by papers focused on Statistical Methods and Inference (30 papers), Bayesian Methods and Mixture Models (22 papers) and Statistical Methods and Bayesian Inference (19 papers). Jin‐Ting Zhang collaborates with scholars based in Singapore, China and United States. Jin‐Ting Zhang's co-authors include Jianqing Fan, Hulin Wu, Jia Guo, Chia‐Ying Li, Ming−Yen Cheng, Toshio Honda, Łukasz Smaga, Jianwei Chen, Liang Zhang and Xuefeng Liu and has published in prestigious journals such as Journal of the American Statistical Association, The Science of The Total Environment and Technometrics.

In The Last Decade

Jin‐Ting Zhang

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Ting Zhang Singapore 16 766 375 101 79 60 71 1.2k
Niansheng Tang China 21 1.2k 1.6× 455 1.2× 216 2.1× 105 1.3× 101 1.7× 177 1.8k
Deborah Nolan United States 15 865 1.1× 401 1.1× 144 1.4× 69 0.9× 19 0.3× 43 1.3k
Lan Wang United States 19 1.0k 1.3× 337 0.9× 78 0.8× 155 2.0× 58 1.0× 60 1.5k
Weixin Yao United States 19 844 1.1× 705 1.9× 68 0.7× 47 0.6× 30 0.5× 108 1.5k
Anthony Y. C. Kuk Singapore 22 1.2k 1.6× 467 1.2× 137 1.4× 59 0.7× 118 2.0× 64 1.6k
Yong Zhou China 22 1.1k 1.5× 258 0.7× 120 1.2× 40 0.5× 49 0.8× 165 1.5k
Mariano J. Valderrama Spain 20 543 0.7× 203 0.5× 97 1.0× 53 0.7× 26 0.4× 56 1.2k
Man‐Lai Tang Hong Kong 21 1.3k 1.7× 315 0.8× 229 2.3× 92 1.2× 44 0.7× 173 1.9k
Geurt Jongbloed Netherlands 20 477 0.6× 212 0.6× 114 1.1× 150 1.9× 24 0.4× 79 1.4k
Guang Cheng United States 19 657 0.9× 326 0.9× 63 0.6× 49 0.6× 32 0.5× 76 1.3k

Countries citing papers authored by Jin‐Ting Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Ting Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Ting Zhang. 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 Jin‐Ting Zhang. The network helps show where Jin‐Ting Zhang may publish in the future.

Co-authorship network of co-authors of Jin‐Ting Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Ting Zhang. A scholar is included among the top collaborators of Jin‐Ting Zhang 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 Jin‐Ting Zhang. Jin‐Ting Zhang 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.
Zhang, Shan, et al.. (2024). Long-term cultivation reduces soil carbon storage by altering microbial network complexity and metabolism activity in macroaggregates. The Science of The Total Environment. 930. 172788–172788. 10 indexed citations
2.
Zhang, Jin‐Ting, et al.. (2024). Regulation of maize root growth by local phosphorus availability, sucrose metabolism, and partitioning. Annals of Botany. 136(5-6). 961–972. 2 indexed citations
3.
Zhang, Jin‐Ting, et al.. (2024). A fast and accurate kernel-based independence test with applications to high-dimensional and functional data. Journal of Multivariate Analysis. 202. 105320–105320.
4.
Wang, Jingyi, et al.. (2024). Two-sample test for high-dimensional covariance matrices: A normal-reference approach. Journal of Multivariate Analysis. 204. 105354–105354. 2 indexed citations
5.
Zhang, Jin‐Ting, et al.. (2023). Phosphorus partitioning contribute to phosphorus use efficiency during grain filling in Zea mays. Frontiers in Plant Science. 14. 1223532–1223532. 6 indexed citations
6.
Li, Chia‐Ying & Jin‐Ting Zhang. (2023). Chatbots or me? Consumers’ switching between human agents and conversational agents. Journal of Retailing and Consumer Services. 72. 103264–103264. 59 indexed citations
7.
Zhang, Jin‐Ting, Yibo Zhang, Chen Xue, et al.. (2023). SAIF plays anti-angiogenesis via blocking VEGF-VEGFR2-ERK signal in tumor treatment. Heliyon. 9(7). e18240–e18240. 1 indexed citations
8.
Zhang, Yibo, Bihui Zhang, He Liu, et al.. (2023). Hyaluronic acid-FGF2-derived peptide bioconjugates for suppression of FGFR2 and AR simultaneously as an acne antagonist. Journal of Nanobiotechnology. 21(1). 10 indexed citations
9.
Zhang, Jin‐Ting, et al.. (2023). Tests for equality of several covariance matrix functions for multivariate functional data. Journal of Multivariate Analysis. 199. 105243–105243. 2 indexed citations
10.
Yang, Yiqi, Yibo Zhang, Fu Li, et al.. (2023). FGFR4 and EZH2 inhibitors synergistically induce hepatocellular carcinoma apoptosis via repressing YAP signaling. Journal of Experimental & Clinical Cancer Research. 42(1). 96–96. 11 indexed citations
11.
Yang, Yiqi, Bihui Zhang, Jingsheng Li, et al.. (2023). CH02 peptide promotes <italic>ex vivo</italic> expansion of umbilical cord blood-derived CD34<sup>+</sup> hematopoietic stem/progenitor cells. Acta Biochimica et Biophysica Sinica. 55(10). 1630–1639. 1 indexed citations
12.
Zhang, Jin‐Ting, et al.. (2023). Target Perception and Behavioral Recognition Algorithms Based on Saliency and Feature Extraction. IEEE Access. 12. 6790–6798. 1 indexed citations
13.
Zhang, Jin‐Ting, et al.. (2021). Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: A normal reference L 2 -norm based test. Journal of Multivariate Analysis. 187. 104816–104816. 7 indexed citations
14.
Zhang, Liang, et al.. (2020). A Simple Scale-Invariant Two-Sample Test for High-dimensional Data. Econometrics and Statistics. 14. 131–144. 6 indexed citations
15.
Guo, Jia, et al.. (2018). An $${{\varvec{L}}}^{2}$$L2-norm-based test for equality of several covariance functions: a further study. Test. 28(4). 1092–1112. 2 indexed citations
16.
Zhang, Jin‐Ting, et al.. (2017). Linear hypothesis testing in high-dimensional one-way MANOVA. Journal of Multivariate Analysis. 155. 200–216. 15 indexed citations
17.
Zhang, Jin‐Ting, et al.. (2016). Modified Tests for Heteroscedastic Two-Way MANOVA. 1(1). 1 indexed citations
18.
Wu, Hulin & Jin‐Ting Zhang. (2006). Nonparametric Regression Methods for Longitudinal Data Analysis. Wiley series in probability and statistics. 65 indexed citations
19.
Wu, Hulin & Jin‐Ting Zhang. (2002). The study of long‐term HIV dynamics using semi‐parametric non‐linear mixed‐effects models. Statistics in Medicine. 21(23). 3655–3675. 63 indexed citations
20.
Fan, Jianqing & Jin‐Ting Zhang. (1998). Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves: Comment. Journal of the American Statistical Association. 93(443). 980–980. 2 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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