Jingjing Yin

1.6k citations
102 papers · 1.0k indexed · h-index 18
Topics
Statistical Methods and Inference (12 papers)Statistical Distribution Estimation and Applications (9 papers)Statistical Methods and Bayesian Inference (9 papers)
Journals
Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaBlood

In The Last Decade

Jingjing Yin

92 papers receiving 997 citations

Peers

Jingjing Yin
Comparison fields: 5 of 166
  • Sociology and Political Science 183
  • Global and Planetary Change 154
  • Artificial Intelligence 136
  • Statistics and Probability 122
  • Epidemiology 121
Replace Mark Strong with:
Mark Strong United Kingdom
Meng Sha China
Frank Tuyl Australia
Jing‐Shiang Hwang Taiwan
Parham Habibzadeh Iran
Stephen C. Shiboski United States
Veronica J. Berrocal United States
Axel Gandy United Kingdom
J.R. Cook United States
Pelumi E. Oguntunde Nigeria
Jingjing Yin relative to Mark Strong United Kingdom Mark Strong's profile →
Citations per field
00.5×7.3×
Mark Strong · 1×
Citations per year

Countries citing papers authored by Jingjing Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Yin. A scholar is included among the top collaborators of Jingjing Yin 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 Jingjing Yin. Jingjing Yin 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 2
4 1
5 7
6 1
7 3
8 5
9 2
10 20
11 1
12
Psoralen Suppresses Cisplatin-Mediated Resistance and Induces Apoptosis of Gastric Adenocarcinoma by Disruption of the miR196a-HOXB7-HER2 Axis
1
13 1
14 7
15 8
16 4
17 16
18
On Kernel Density Estimation Based on Different Stratified Sampling
2
19 32
20 5

About Jingjing Yin

Jingjing Yin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Chemical Health and Safety, having authored 102 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Statistical Distribution Estimation and Applications (9 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Statistics and Probability (122 citations) and Communication (92 citations). Jingjing Yin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Lili Tian, Atin Adhikari, Isaac Chun‐Hai Fung, Hani M. Samawi, Haresh Rochani, Zion Tsz Ho Tse, Corey H. Basch, King‐Wa Fu, Hai Liang and Gulzar H. Shah. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Blood.

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