Yanlin Tang
- Statistics and Probability top 2%
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Huixia WangZhongyi ZhuChyang T. FangBin LiuDonna A. SobieskiXinyuan SongRobert H. LipskyLijuan Shen
- Topics
- Statistical Methods and Inference (27 papers)Statistical Methods and Bayesian Inference (12 papers)Advanced Statistical Methods and Models (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yanlin Tang
45 papers receiving 606 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Statistics and Probability 222
- Public Health, Environmental and Occupational Health 94
- Infectious Diseases 86
- Electrical and Electronic Engineering 73
- Artificial Intelligence 58
Countries citing papers authored by Yanlin Tang
This map shows the geographic impact of Yanlin Tang'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 Yanlin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanlin Tang more than expected).
Fields of papers citing papers by Yanlin Tang
This network shows the impact of papers produced by Yanlin Tang. 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 Yanlin Tang. The network helps show where Yanlin Tang may publish in the future.
Co-authorship network of co-authors of Yanlin Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Yanlin Tang. A scholar is included among the top collaborators of Yanlin Tang 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 Yanlin Tang. Yanlin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | Polylactic Acid Micro/Nanoplastic Exposure Induces Male Reproductive Toxicity by Disrupting Spermatogenesis and Mitochondrial Dysfunction in Micebreakdown → | 24 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 21 | |
| 17 | 7 | |
| 18 | 89 | |
| 19 | 29 | |
| 20 | 21 |
About Yanlin Tang
Yanlin Tang is a scholar working on Statistics and Probability, Aging and Finance, having authored 51 papers that have together received 616 indexed citations. Recurring topics across this work include Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (12 papers) and Advanced Statistical Methods and Models (11 papers). The work is most often cited by research in Statistics and Probability (222 citations), Infectious Diseases (86 citations) and Statistics, Probability and Uncertainty (26 citations). Yanlin Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huixia Wang, Zhongyi Zhu, Chyang T. Fang, Bin Liu, Donna A. Sobieski, Xinyuan Song, Robert H. Lipsky, Xinyuan Song, Lijuan Shen and Loon Ching Tang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.