Jingjing Yin
- Modeling and Simulation top 5%
- Statistics and Probability top 5%
- Statistical Methods and Inference 12
- Statistical Distribution Estimation and Applications 9
- Statistical Methods and Bayesian Inference 9
- Communication top 5%
-
- Reliability and Agreement in Measurement 6
- Health top 10%
- Social Media in Health Education 7
-
- Data-Driven Disease Surveillance 8
-
- Misinformation and Its Impacts 8
-
- Imbalanced Data Classification Techniques 7
- Co-authors
- Lili TianAtin AdhikariIsaac Chun‐Hai FungHani M. SamawiHaresh RochaniZion Tsz Ho TseCorey H. BaschKing‐Wa Fu
- Journals
- International Journal of Environmental Research and Public Health (5 papers)Statistics in Medicine (5 papers)Journal of Public Health Management and Practice (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jingjing Yin
92 papers receiving 997 citations
Peers
Comparison fields: 5 of 166
- Modeling and Simulation 77
- Statistics and Probability 122
- Communication 92
- Statistics, Probability and Uncertainty 75
- Health 88
Countries citing papers authored by Jingjing Yin
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
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
The 25 scholars most cited alongside Jingjing Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 1 | |
| 12 | Psoralen Suppresses Cisplatin-Mediated Resistance and Induces Apoptosis of Gastric Adenocarcinoma by Disruption of the miR196a-HOXB7-HER2 Axis | 2020 | 1 |
| 13 | 2020 | 1 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 8 | |
| 16 | 2017 | 4 | |
| 17 | 2017 | 16 | |
| 18 | On Kernel Density Estimation Based on Different Stratified Sampling | 2016 | 2 |
| 19 | 2014 | 32 | |
| 20 | 2012 | 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), Statistical Methods and Bayesian Inference (9 papers), Data-Driven Disease Surveillance (8 papers), Misinformation and Its Impacts (8 papers), Imbalanced Data Classification Techniques (7 papers), Social Media in Health Education (7 papers) and Reliability and Agreement in Measurement (6 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 International Journal of Environmental Research and Public Health, Statistics in Medicine, Journal of Public Health Management and Practice, Journal of Biopharmaceutical Statistics and Computational Statistics & Data Analysis.
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.