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

Jin‐Ting Zhang
Comparison fields: 5 of 150
  • Statistics and Probability 766
  • Artificial Intelligence 375
  • Management Science and Operations Research 101
  • Molecular Biology 79
  • Genetics 60
Niansheng Tang China
Deborah Nolan United States
Lan Wang United States
Weixin Yao United States
Anthony Y. C. Kuk Singapore
Yong Zhou China
Mariano J. Valderrama Spain
Man‐Lai Tang Hong Kong
Geurt Jongbloed Netherlands
Guang Cheng United States
Niansheng Tang China View profile →
Citations per field, relative to Jin‐Ting Zhang
Jin‐Ting Zhang · 1×
Citations per year, relative to Jin‐Ting Zhang
Jin‐Ting Zhang · 1×

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
# Work Indexed citations
1 10
2 2
3 0
4 2
5 6
6 59
7 1
8 10
9 2
10 11
11 1
12 1
13 7
14 6
15 2
16 15
17 1
18 65
19 63
20 2

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

Rankless by CCL
2026