Qi Jiang

634 total citations
37 papers, 382 citations indexed

About

Qi Jiang is a scholar working on Statistics and Probability, Economics and Econometrics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qi Jiang has authored 37 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 18 papers in Economics and Econometrics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qi Jiang's work include Statistical Methods in Clinical Trials (25 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers) and Advanced Causal Inference Techniques (12 papers). Qi Jiang is often cited by papers focused on Statistical Methods in Clinical Trials (25 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers) and Advanced Causal Inference Techniques (12 papers). Qi Jiang collaborates with scholars based in United States, China and Switzerland. Qi Jiang's co-authors include Steven Snapinn, Li Zhu, Ronghua Liang, Bin Yao, Chunlei Ke, H. Amy Xia, Meng Zha, Boris Iglewicz, Joseph G. Ibrahim and Haijun Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrics and Biometrika.

In The Last Decade

Qi Jiang

34 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qi Jiang United States 12 195 130 62 44 35 37 382
Jürgen Landes Germany 13 30 0.2× 71 0.5× 34 0.5× 139 3.2× 15 0.4× 63 478
Lianming Wang United States 15 473 2.4× 66 0.5× 3 0.0× 163 3.7× 25 0.7× 32 637
Wenge Guo United States 14 134 0.7× 14 0.1× 13 0.2× 18 0.4× 17 0.5× 32 446
Björn Bornkamp Switzerland 15 572 2.9× 177 1.4× 8 0.1× 42 1.0× 87 2.5× 54 752
Xinbing Kong China 13 172 0.9× 166 1.3× 20 0.3× 19 0.4× 36 1.0× 40 456
Heather Battey United Kingdom 8 193 1.0× 86 0.7× 20 0.3× 89 2.0× 22 0.6× 34 420
Peirong Xu China 11 157 0.8× 29 0.2× 11 0.2× 45 1.0× 30 0.9× 36 311
Jyoti Zalkikar United States 8 208 1.1× 30 0.2× 2 0.0× 36 0.8× 33 0.9× 29 333
Stephanie J. Reisinger United States 9 51 0.3× 42 0.3× 5 0.1× 40 0.9× 8 0.2× 10 322
Isaac Dialsingh Trinidad and Tobago 8 99 0.5× 44 0.3× 7 0.1× 33 0.8× 14 0.4× 28 320

Countries citing papers authored by Qi Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Qi Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Jiang. A scholar is included among the top collaborators of Qi Jiang 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 Qi Jiang. Qi Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiang, Qi, et al.. (2025). FactExplorer: Fact Embedding-Based Exploratory Data Analysis for Tabular Data. International Journal of Human-Computer Interaction. 41(19). 12361–12379.
2.
Jiang, Qi, et al.. (2024). DBNetVizor: Visual Analysis of Dynamic Basketball Player Networks. IEEE Transactions on Big Data. 11(2). 591–605.
3.
Snapinn, Steven, Qi Jiang, & Chunlei Ke. (2022). Treatment effect measures under nonproportional hazards. Pharmaceutical Statistics. 22(1). 181–193. 7 indexed citations
4.
Ball, Greg, Barbara A. Hendrickson, J.R. Buchanan, et al.. (2020). Global Regulatory Landscape for Aggregate Safety Assessments: Recent Developments and Future Directions. Therapeutic Innovation & Regulatory Science. 54(2). 447–461. 6 indexed citations
5.
Jiang, Qi, et al.. (2020). A survey on automatic infographics and visualization recommendations. Visual Informatics. 4(3). 24–40. 61 indexed citations
6.
Liu, Chengqing, et al.. (2020). Study on the brace axial force-local deformation behavior of unstiffened CHS X-joints. Archive of Applied Mechanics. 91(1). 205–221. 2 indexed citations
7.
Psioda, Matthew A., et al.. (2019). Bayesian adaptive basket trial design using model averaging. Biostatistics. 22(1). 19–34. 36 indexed citations
8.
Ma, Haijun, et al.. (2018). Sources of Safety Data and Statistical Strategies for Design and Analysis: Transforming Data Into Evidence. Therapeutic Innovation & Regulatory Science. 52(2). 187–198. 5 indexed citations
9.
Ke, Chunlei, Jianming Wang, Charlie Zhang, Qi Jiang, & Steven Snapinn. (2017). On Errors in Stratified Randomization. Statistics in Biopharmaceutical Research. 9(2). 225–233. 4 indexed citations
10.
Smith, Meredith Y., et al.. (2017). Structured Benefit-Risk Assessment Across the Product Lifecycle: Practical Considerations. Therapeutic Innovation & Regulatory Science. 51(4). 501–508. 11 indexed citations
11.
Hodges, James S., et al.. (2016). Hierarchical Bayesian approaches for detecting inconsistency in network meta-analysis. Statistics in Medicine. 35(20). 3524–3536. 9 indexed citations
12.
Ma, Haijun, Chunlei Ke, Qi Jiang, & Steven Snapinn. (2015). Statistical Considerations on the Evaluation of Imbalances of Adverse Events in Randomized Clinical Trials. Therapeutic Innovation & Regulatory Science. 49(6). 957–965. 11 indexed citations
13.
Zhu, Li, et al.. (2015). Statistical Monitoring of Safety in Clinical Trials. Statistics in Biopharmaceutical Research. 8(1). 88–105. 12 indexed citations
14.
Wittes, Janet, Brenda Crowe, Christy Chuang‐Stein, et al.. (2015). The FDA's Final Rule on Expedited Safety Reporting: Statistical Considerations. Statistics in Biopharmaceutical Research. 7(3). 174–190. 19 indexed citations
15.
Colopy, Michael W., C. V. Damaraju, Weili He, et al.. (2015). Benefit-Risk Evaluation and Decision Making: Some Practical Insights. Therapeutic Innovation & Regulatory Science. 49(3). 425–433. 13 indexed citations
16.
Yao, Bin, Li Zhu, Qi Jiang, & H. Amy Xia. (2013). Safety Monitoring in Clinical Trials. Pharmaceutics. 5(1). 94–106. 51 indexed citations
17.
Snapinn, Steven & Qi Jiang. (2011). On the clinical meaningfulness of a treatment's effect on a time‐to‐event variable. Statistics in Medicine. 30(19). 2341–2348. 12 indexed citations
18.
Jiang, Qi, Steven Snapinn, & Boris Iglewicz. (2005). Accounting for informative non-compliance with a bivariate exponential model in the design of endpoint trials. Pharmaceutical Statistics. 4(3). 173–186. 1 indexed citations
19.
Jiang, Qi, Steven Snapinn, & Boris Iglewicz. (2004). Calculation of Sample Size in Survival Trials: The Impact of Informative Noncompliance. Biometrics. 60(3). 800–806. 12 indexed citations
20.
Snapinn, Steven, Qi Jiang, & Boris Iglewicz. (2004). Informative noncompliance in endpoint trials. SHILAP Revista de lepidopterología. 5(1). 5–5. 11 indexed citations

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.

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