Erjia Cui
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Physical Activity and Health 5
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- Mental Health Research Topics 2
- Co-authors
- Ciprian M. Crainiceanu (13 shared papers)Andrew Leroux (11 shared papers)Ekaterina Smirnova (3 shared papers)Jeff Goldsmith (1 shared paper)Martin A. Lindquist (4 shared papers)Xiaowei Chen (1 shared paper)Feng Chen (1 shared paper)Ruonan Li (1 shared paper)
- Journals
- Journal of Computational and Graphical Statistics (4 papers)Medicine & Science in Sports & Exercise (2 papers)Statistics in Medicine (2 papers)eLife (2 papers)Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Erjia Cui
21 papers receiving 136 citations
Peers
Comparison fields: 5 of 60
- Statistics and Probability 21
- Computational Mathematics 1
- Transportation 9
- Physiology 30
- Experimental and Cognitive Psychology 10
Countries citing papers authored by Erjia Cui
This map shows the geographic impact of Erjia Cui'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 Erjia Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erjia Cui more than expected).
Fields of papers citing papers by Erjia Cui
This network shows the impact of papers produced by Erjia Cui. 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 Erjia Cui. The network helps show where Erjia Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Erjia Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 23 | |
| 2 | 2020 | 21 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 10 | |
| 5 | 2017 | 9 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2025 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Erjia Cui
Erjia Cui is a scholar working on Physiology, Experimental and Cognitive Psychology, Statistics and Probability, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 136 indexed citations. Recurring topics across this work include Physical Activity and Health (5 papers), Statistical Methods and Inference (3 papers), Obesity, Physical Activity, Diet (2 papers), Data Visualization and Analytics (2 papers), Mental Health Research Topics (2 papers), Ultrasound in Clinical Applications (2 papers), Diabetes Management and Research (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Statistics and Probability (21 citations), Computational Mathematics (1 citation), Transportation (9 citations), Physiology (30 citations) and Experimental and Cognitive Psychology (10 citations). Erjia Cui has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Ciprian M. Crainiceanu, Andrew Leroux, Ekaterina Smirnova, Jeff Goldsmith, Martin A. Lindquist, Xiaowei Chen, Feng Chen, Ruonan Li, Xiqun Chen and Philip T. Reiss. Their work appears in journals such as Journal of Computational and Graphical Statistics, Medicine & Science in Sports & Exercise, Statistics in Medicine, eLife and Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration.
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.