Qi Jiang
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Toxicology top 10%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Statistical Methods in Clinical Trials 25
- Advanced Causal Inference Techniques 12
- Statistical Methods and Inference 3
-
- Health Systems, Economic Evaluations, Quality of Life 17
- Pharmaceutical Economics and Policy 4
- Co-authors
- Steven Snapinn (11 shared papers)Li Zhu (3 shared papers)Bin Yao (2 shared papers)Ronghua Liang (6 shared papers)Chunlei Ke (8 shared papers)H. Amy Xia (1 shared paper)Meng Zha (1 shared paper)Boris Iglewicz (3 shared papers)
- Journals
- Statistics in Biopharmaceutical Research (10 papers)Therapeutic Innovation & Regulatory Science (5 papers)Statistics in Medicine (4 papers)Pharmaceutical Statistics (3 papers)IEEE Transactions on Big Data (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Qi Jiang
34 papers receiving 373 citations
Peers
Comparison fields: 5 of 90
- Statistics and Probability 195
- Toxicology 32
- Statistics, Probability and Uncertainty 35
- Economics and Econometrics 130
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Qi Jiang
This map shows the geographic impact of Qi Jiang'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 Qi Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Jiang more than expected).
Fields of papers citing papers by Qi Jiang
This network shows the impact of papers produced by Qi Jiang. 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 Qi Jiang. The network helps show where Qi Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Jiang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2013 | 51 | |
| 3 | 2019 | 36 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 21 | |
| 6 | 2015 | 19 | |
| 7 | 2015 | 13 | |
| 8 | 2011 | 12 | |
| 9 | 2015 | 12 | |
| 10 | 2004 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2015 | 11 | |
| 13 | 2004 | 11 | |
| 14 | 2016 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2012 | 6 |
About Qi Jiang
Qi Jiang is a scholar working on Statistics and Probability, Economics and Econometrics, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Toxicology, having authored 37 papers that have together received 382 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (25 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Advanced Causal Inference Techniques (12 papers), Data Visualization and Analytics (6 papers), Pharmaceutical Economics and Policy (4 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Statistical Methods and Inference (3 papers) and Meta-analysis and systematic reviews (3 papers). The work is most often cited by research in Statistics and Probability (195 citations), Toxicology (32 citations), Statistics, Probability and Uncertainty (35 citations), Economics and Econometrics (130 citations) and Computer Vision and Pattern Recognition (62 citations). Qi Jiang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Steven Snapinn, Li Zhu, Bin Yao, Ronghua Liang, Chunlei Ke, H. Amy Xia, Meng Zha, Boris Iglewicz, Haijun Ma and Joseph G. Ibrahim. Their work appears in journals such as Statistics in Biopharmaceutical Research, Therapeutic Innovation & Regulatory Science, Statistics in Medicine, Pharmaceutical Statistics and IEEE Transactions on Big Data.
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.