Junlong Li
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
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- Meta-analysis and systematic reviews
Papers in
-
- Statistical Methods and Inference 4
- Advanced Causal Inference Techniques 3
- Statistical Methods in Clinical Trials 3
- Statistical Methods and Bayesian Inference 3
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- Clinical practice guidelines implementation 2
- Co-authors
- Tianxi Cai (2 shared papers)Roland Matsouaka (1 shared paper)Yili Yang (1 shared paper)Jie Liu (1 shared paper)Jay Pan (4 shared papers)Changping Huang (1 shared paper)Jianguo Sun (3 shared papers)Lihui Zhao (1 shared paper)
- Journals
- Biometrics (2 papers)Journal of Nuclear Cardiology (1 paper)Risk Management and Healthcare Policy (1 paper)BMC Genomics (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junlong Li
12 papers receiving 136 citations
Peers
Comparison fields: 5 of 58
- Statistics and Probability 53
- Statistics, Probability and Uncertainty 5
- Modeling and Simulation 3
- Economics and Econometrics 18
- Applied Psychology 2
Countries citing papers authored by Junlong Li
This map shows the geographic impact of Junlong Li'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 Junlong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlong Li more than expected).
Fields of papers citing papers by Junlong Li
This network shows the impact of papers produced by Junlong Li. 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 Junlong Li. The network helps show where Junlong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlong Li, 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 | 2023 | 38 | |
| 2 | 2015 | 32 | |
| 3 | 2014 | 22 | |
| 4 | 2014 | 11 | |
| 5 | 2012 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 3 | |
| 8 | 2012 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Junlong Li
Junlong Li is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health, Economics and Econometrics, Clinical Psychology and Artificial Intelligence, having authored 17 papers that have together received 136 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers), Statistical Methods and Bayesian Inference (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Clinical practice guidelines implementation (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Statistics and Probability (53 citations), Statistics, Probability and Uncertainty (5 citations), Modeling and Simulation (3 citations), Economics and Econometrics (18 citations) and Applied Psychology (2 citations). Junlong Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianxi Cai, Roland Matsouaka, Yili Yang, Jie Liu, Jay Pan, Changping Huang, Jianguo Sun, Lihui Zhao, Bart Spiessens and Andrea Callegaro. Their work appears in journals such as Biometrics, Journal of Nuclear Cardiology, Risk Management and Healthcare Policy, BMC Genomics 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.