Jing Cheng
- Statistics and Probability top 0.5%
- Physiology top 10%
- Clinical Psychology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Economics and Econometrics top 5%
- Co-authors
- Dylan S. SmallMichael BaiocchiBonnie Halpern‐FelsherShivani Mathur GaihaBenjamin W. ChaffeeJ.D.B. FeatherstoneMildred M. Maldonado‐MolinaKelli A. Komro
- Topics
- Advanced Causal Inference Techniques (17 papers)Statistical Methods and Bayesian Inference (11 papers)Obesity, Physical Activity, Diet (10 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jing Cheng
73 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Statistics and Probability 484
- Physiology 323
- Clinical Psychology 316
- Public Health, Environmental and Occupational Health 288
- Economics and Econometrics 244
Countries citing papers authored by Jing Cheng
This map shows the geographic impact of Jing Cheng'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 Jing Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Cheng more than expected).
Fields of papers citing papers by Jing Cheng
This network shows the impact of papers produced by Jing Cheng. 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 Jing Cheng. The network helps show where Jing Cheng may publish in the future.
Co-authorship network of co-authors of Jing Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Cheng. A scholar is included among the top collaborators of Jing Cheng 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 Jing Cheng. Jing Cheng 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 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 69 | |
| 12 | 12 | |
| 13 | 29 | |
| 14 | 60 | |
| 15 | A Model of Suburban Travel Mode Choice Considering the Station Accessibility of Public Transport | 1 |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 195 | |
| 20 | 5 |
About Jing Cheng
Jing Cheng is a scholar working on Statistics and Probability, Microbiology and General Dentistry, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (17 papers), Statistical Methods and Bayesian Inference (11 papers) and Obesity, Physical Activity, Diet (10 papers). The work is most often cited by research in Statistics and Probability (484 citations), General Dentistry (65 citations) and Periodontics (140 citations). Jing Cheng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Dylan S. Small, Michael Baiocchi, Bonnie Halpern‐Felsher, Shivani Mathur Gaiha, Benjamin W. Chaffee, J.D.B. Featherstone, Mildred M. Maldonado‐Molina, Kelli A. Komro, Keith E. Muller and Lloyd J. Edwards. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.