Jian-Jian Ren

447 citations
26 papers · 263 indexed · h-index 10
Topics
Statistical Methods and Inference (20 papers)Statistical Methods and Bayesian Inference (10 papers)Statistical Distribution Estimation and Applications (8 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Jian-Jian Ren

24 papers receiving 246 citations

Peers

Jian-Jian Ren
Comparison fields: 5 of 53
  • Statistics and Probability 205
  • Artificial Intelligence 46
  • Molecular Biology 28
  • Economics and Econometrics 15
  • Statistics, Probability and Uncertainty 14
Replace Minggao Gu with:
Minggao Gu United States
Vivekananda Roy United States
Hammou El Barmi United States
Jiaying Gu Canada
Xingwei Tong China
John G. Kovar Canada
Simona C. Minotti Italy
Jan F. Bjørnstad Norway
Pier Francesco Perri Italy
Mohamed Chaouch France
Jian-Jian Ren relative to Minggao Gu United States Minggao Gu's profile →
Citations per field
00.5×
Minggao Gu · 1×
Citations per year

Countries citing papers authored by Jian-Jian Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jian-Jian Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian-Jian Ren. 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 Jian-Jian Ren. The network helps show where Jian-Jian Ren may publish in the future.

Co-authorship network of co-authors of Jian-Jian Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Jian Ren. A scholar is included among the top collaborators of Jian-Jian Ren 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 Jian-Jian Ren. Jian-Jian Ren 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
#WorkIndexed citations
1 0
2 2
3 1
4 11
5 2
6 3
7 1
8 12
9 7
10 28
11 4
12 12
13 5
14 0
15 58
16 12
17 4
18 2
19 5
20 12

About Jian-Jian Ren

Jian-Jian Ren is a scholar working on Statistics and Probability, Toxicology and Finance, having authored 26 papers that have together received 263 indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Distribution Estimation and Applications (8 papers). The work is most often cited by research in Statistics and Probability (205 citations), Statistics, Probability and Uncertainty (14 citations) and Artificial Intelligence (46 citations). Jian-Jian Ren has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Per A. Mykland, Minggao Gu, Pranab Kumar Sen, Mai Zhou, Yongqun He, Annette R. Khaled, Larry Fliegel, Tingni Sun, Emily R. Slepkov and Ge Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Epidemiology and American Journal of Physiology-Cell Physiology.

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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