Chaohui Guo

721 total citations
46 papers, 427 citations indexed

About

Chaohui Guo is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Chaohui Guo has authored 46 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Economics and Econometrics. Recurrent topics in Chaohui Guo's work include Statistical Methods and Inference (27 papers), Advanced Statistical Methods and Models (18 papers) and Statistical Methods and Bayesian Inference (15 papers). Chaohui Guo is often cited by papers focused on Statistical Methods and Inference (27 papers), Advanced Statistical Methods and Models (18 papers) and Statistical Methods and Bayesian Inference (15 papers). Chaohui Guo collaborates with scholars based in China, Switzerland and United Kingdom. Chaohui Guo's co-authors include Jing Lv, Hu Yang, Matthew Prime, Gianluca Fontana, Saira Ghafur, Clarissa Gardner, Hutan Ashrafian, Lincoln Sheets, Richard Hammer and Chun Chen and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Business and Economic Statistics and Materials Letters.

In The Last Decade

Chaohui Guo

42 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaohui Guo China 11 148 101 69 48 47 46 427
Ashkan Ertefaie United States 16 313 2.1× 40 0.4× 28 0.4× 27 0.6× 104 2.2× 46 631
Nirosha Mahendraratnam United States 10 34 0.2× 75 0.7× 26 0.4× 25 0.5× 100 2.1× 17 287
Ashley Jaksa United States 7 64 0.4× 67 0.7× 32 0.5× 25 0.5× 137 2.9× 31 257
Shona Kalkman Netherlands 13 27 0.2× 176 1.7× 263 3.8× 12 0.3× 103 2.2× 22 554
Sandra F. Jones United States 7 31 0.2× 44 0.4× 55 0.8× 11 0.2× 27 0.6× 11 588
Zhenke Wu United States 11 26 0.2× 60 0.6× 23 0.3× 85 1.8× 17 0.4× 47 556
Jessica Gronsbell Canada 11 29 0.2× 60 0.6× 42 0.6× 7 0.1× 21 0.4× 25 423
Margrét V. Bjarnadóttir United States 8 14 0.1× 60 0.6× 34 0.5× 23 0.5× 76 1.6× 37 344
Benjamin Gregory Carlisle Canada 10 69 0.5× 80 0.8× 235 3.4× 6 0.1× 178 3.8× 30 488
Meredith Nahm United States 11 33 0.2× 64 0.6× 128 1.9× 5 0.1× 64 1.4× 22 467

Countries citing papers authored by Chaohui Guo

Since Specialization
Citations

This map shows the geographic impact of Chaohui Guo'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 Chaohui Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaohui Guo more than expected).

Fields of papers citing papers by Chaohui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaohui Guo. 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 Chaohui Guo. The network helps show where Chaohui Guo may publish in the future.

Co-authorship network of co-authors of Chaohui Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Chaohui Guo. A scholar is included among the top collaborators of Chaohui Guo 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 Chaohui Guo. Chaohui Guo 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.
Guo, Chaohui & Wenyang Zhang. (2024). Model-averaging-based semiparametric modeling for conditional quantile prediction. Science China Mathematics. 67(12). 2843–2872.
2.
Guo, Chaohui, et al.. (2024). Clinical Simulation in the Regulation of Software as a Medical Device: An eDelphi Study. JMIR Formative Research. 8. e56241–e56241. 2 indexed citations
3.
Lau, Karen, et al.. (2023). Evolution of the clinical simulation approach to assess digital health technologies. Future Healthcare Journal. 10(2). 173–175. 3 indexed citations
4.
Gardner, Clarissa, Gianluca Fontana, Roberto Fernández Crespo, et al.. (2022). Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research. Health Informatics Journal. 28(2). 1197573266–1197573266. 4 indexed citations
5.
Hammer, Richard, Sharan Srinivas, Suchithra Rajendran, Chaohui Guo, & Matthew Prime. (2022). Economic impact of digital tumor board software: An evaluation of cost savings using real-world data.. Journal of Clinical Oncology. 40(16_suppl). e18794–e18794. 1 indexed citations
6.
Hammer, Richard, et al.. (2021). A digital tumor board solution impacts case discussion time and postponement of cases in tumor boards. Health and Technology. 11(3). 525–533. 7 indexed citations
7.
Guo, Chaohui, Hutan Ashrafian, Saira Ghafur, et al.. (2020). Challenges for the evaluation of digital health solutions—A call for innovative evidence generation approaches. npj Digital Medicine. 3(1). 110–110. 169 indexed citations
8.
Guo, Chaohui, He Wang, Renjie Zhang, et al.. (2020). Facile synthesis of Bi4.15Nd0.85Ti3FeO15 photocatalysts with high photocatalytic activity. Materials Letters. 269. 127679–127679. 5 indexed citations
9.
Yang, Hu, et al.. (2020). Model averaging marginal regression for high dimensional conditional quantile prediction. Statistical Papers. 62(6). 2661–2689.
10.
Sheets, Lincoln, et al.. (2019). Effect of digital tumor board solutions on “failure-to-discuss” rates for patient cases during tumor boards.. Journal of Clinical Oncology. 37(27_suppl). 308–308. 3 indexed citations
11.
12.
Guo, Chaohui, Hu Yang, & Jing Lv. (2016). Robust variable selection for generalized linear models with a diverging number of parameters. Communication in Statistics- Theory and Methods. 46(6). 2967–2981. 2 indexed citations
13.
Guo, Chaohui, Hu Yang, & Jing Lv. (2015). Generalized varying index coefficient models. Journal of Computational and Applied Mathematics. 300. 1–17. 10 indexed citations
14.
15.
Lv, Jing, Hu Yang, & Chaohui Guo. (2014). Robust smooth-threshold estimating equations for generalized varying-coefficient partially linear models based on exponential score function. Journal of Computational and Applied Mathematics. 280. 125–140. 4 indexed citations
16.
Yang, Hu, Chaohui Guo, & Jing Lv. (2014). SCAD penalized rank regression with a diverging number of parameters. Journal of Multivariate Analysis. 133. 321–333. 7 indexed citations
17.
Yang, Hu, Chaohui Guo, & Jing Lv. (2014). A robust and efficient estimation method for single-index varying-coefficient models. Statistics & Probability Letters. 94. 119–127. 10 indexed citations
18.
Lv, Jing, Hu Yang, & Chaohui Guo. (2014). An efficient and robust variable selection method for longitudinal generalized linear models. Computational Statistics & Data Analysis. 82. 74–88. 26 indexed citations
19.
Yang, Hu, Jing Lv, & Chaohui Guo. (2014). Penalized LAD Regression for Single-index Models. Communications in Statistics - Simulation and Computation. 45(7). 2392–2408. 3 indexed citations
20.
Zheng, Wei, et al.. (2012). Analysis of factors influencing skip lymphatic metastasis in pN2 non-small cell lung cancer. Chinese Journal of Cancer Research. 24(4). 340–345. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ashkan Ertefaie Breakdown of academic impact, for papers by Nirosha Mahendraratnam Breakdown of academic impact, for papers by Ashley Jaksa Breakdown of academic impact, for papers by Shona Kalkman Breakdown of academic impact, for papers by Sandra F. Jones Breakdown of academic impact, for papers by Zhenke Wu Breakdown of academic impact, for papers by Jessica Gronsbell Breakdown of academic impact, for papers by Margrét V. Bjarnadóttir Breakdown of academic impact, for papers by Benjamin Gregory Carlisle Breakdown of academic impact, for papers by Meredith Nahm
Rankless by CCL
2026