Zhi Geng
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques 37
- Statistical Methods and Bayesian Inference 35
- Statistical Methods and Inference 30
- Advanced Statistical Methods and Models 13
- Statistical Methods in Clinical Trials 12
- Artificial Intelligence top 10%
- Bayesian Modeling and Causal Inference 11
- Bayesian Methods and Mixture Models 4
- Economics and Econometrics top 10%
- Health Systems, Economic Evaluations, Quality of Life 7
- Co-authors
- Wang MiaoEric J. Tchetgen TchetgenPeng DingHua ChenXiao‐Hua ZhouJianhua GuoJinzhu JiaWei Yan
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (2 papers)Biometrics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zhi Geng
66 papers receiving 621 citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 476
- Artificial Intelligence 136
- Economics and Econometrics 110
- Statistics, Probability and Uncertainty 20
- Management Science and Operations Research 30
Countries citing papers authored by Zhi Geng
This map shows the geographic impact of Zhi Geng'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 Zhi Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Geng more than expected).
Fields of papers citing papers by Zhi Geng
This network shows the impact of papers produced by Zhi Geng. 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 Zhi Geng. The network helps show where Zhi Geng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhi Geng, 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 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 8 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2011 | 2 | |
| 15 | 2008 | 27 | |
| 16 | 2007 | 30 | |
| 17 | 2005 | 1 | |
| 18 | 2003 | 11 | |
| 19 | 2001 | 3 | |
| 20 | 1989 | 25 |
About Zhi Geng
Zhi Geng is a scholar working on Statistics and Probability, Anatomy and Emergency Medicine, having authored 75 papers that have together received 656 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (37 papers), Statistical Methods and Bayesian Inference (35 papers), Statistical Methods and Inference (30 papers), Advanced Statistical Methods and Models (13 papers), Statistical Methods in Clinical Trials (12 papers), Bayesian Modeling and Causal Inference (11 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (476 citations), Artificial Intelligence (136 citations) and Economics and Econometrics (110 citations). Zhi Geng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wang Miao, Eric J. Tchetgen Tchetgen, Peng Ding, Hua Chen, Xiao‐Hua Zhou, Jianhua Guo, Jinzhu Jia, Wei Yan, Chuan Ju and Guo‐Liang Tian. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrics.
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.