K. F. Cheng

652 total citations
31 papers, 497 citations indexed

About

K. F. Cheng is a scholar working on Statistics and Probability, Genetics and Surgery. According to data from OpenAlex, K. F. Cheng has authored 31 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 8 papers in Genetics and 5 papers in Surgery. Recurrent topics in K. F. Cheng's work include Genetic Associations and Epidemiology (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (5 papers). K. F. Cheng is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (5 papers). K. F. Cheng collaborates with scholars based in Taiwan, China and Netherlands. K. F. Cheng's co-authors include Shih‐Wei Lai, Kuan‐Fu Liao, Cheng‐Li Lin, C. K. Chu, Fung‐Chang Sung, Jack C. Lee, Cheng‐Chieh Lin, Huey‐Miin Hsueh, Han‐Chung Lien and Chih-Hsin Mou and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Statistics in Medicine.

In The Last Decade

K. F. Cheng

31 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. F. Cheng Taiwan 14 129 84 80 70 66 31 497
Tomoyuki Sugimoto Japan 17 133 1.0× 199 2.4× 239 3.4× 110 1.7× 51 920
Kuang‐Fu Cheng Taiwan 11 30 0.2× 95 1.1× 45 0.6× 9 0.1× 16 0.2× 18 344
Yusuke Yamaguchi Japan 13 72 0.6× 46 0.5× 36 0.5× 21 0.3× 68 681
Larry D. Roi United States 11 48 0.4× 172 2.0× 2 0.0× 62 0.9× 77 1.2× 25 741
Alan M. Hochberg United States 10 111 0.9× 51 0.6× 119 1.7× 52 0.8× 18 611
Jakob Zierk Germany 15 152 1.2× 101 1.2× 58 0.8× 82 1.2× 34 745
Ulrika Wählby Sweden 7 49 0.4× 132 1.6× 70 1.0× 71 1.1× 8 598
Adélia Simão Portugal 6 29 0.2× 6 0.1× 5 0.1× 28 0.4× 58 0.9× 23 275
Nobuaki Hoshino Japan 14 294 2.3× 32 0.4× 49 0.7× 24 0.4× 82 612
William M. Sallas United States 10 177 1.4× 35 0.4× 194 2.8× 31 0.5× 19 758

Countries citing papers authored by K. F. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by K. F. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. F. Cheng. 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 K. F. Cheng. The network helps show where K. F. Cheng may publish in the future.

Co-authorship network of co-authors of K. F. Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of K. F. Cheng. A scholar is included among the top collaborators of K. F. Cheng 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 K. F. Cheng. K. F. Cheng 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.
Cheng, K. F., Kuan‐Fu Liao, Cheng‐Li Lin, Cheng‐Chieh Lin, & Shih‐Wei Lai. (2019). Case-control study examining the association between hip fracture risk and statins therapy in old people. Medicine. 98(41). e17476–e17476. 9 indexed citations
2.
Cheng, K. F., Kuan‐Fu Liao, Cheng‐Li Lin, & Shih‐Wei Lai. (2018). Gastrectomy correlates with increased risk of pulmonary tuberculosis. Medicine. 97(27). e11388–e11388. 7 indexed citations
3.
Cheng, K. F., Kuan‐Fu Liao, Cheng‐Li Lin, Chiu-Shong Liu, & Shih‐Wei Lai. (2018). Chronic kidney disease correlates with increased risk of pulmonary tuberculosis before initiating renal replacement therapy. Medicine. 97(39). e12550–e12550. 18 indexed citations
4.
Cheng, K. F., Kuan‐Fu Liao, Cheng‐Li Lin, & Shih‐Wei Lai. (2017). Correlation of Proton Pump Inhibitors with Pulmonary Tuberculosis: A Case-Control Study in Taiwan. Frontiers in Pharmacology. 8. 481–481. 28 indexed citations
5.
Liao, Kuan‐Fu, K. F. Cheng, Cheng‐Li Lin, & Shih‐Wei Lai. (2017). Etodolac and the risk of acute pancreatitis. Biomedicine. 7(1). 4–4. 45 indexed citations
6.
Cheng, K. F., Kuan‐Fu Liao, Cheng‐Li Lin, & Shih‐Wei Lai. (2017). Increased Risk of Pulmonary Tuberculosis in Patients with Depression: A Cohort Study in Taiwan. Frontiers in Psychiatry. 8. 235–235. 17 indexed citations
7.
Cheng, K. F., et al.. (2012). Patients with chronic kidney disease are at an elevated risk of dementia: A population-based cohort study in Taiwan. BMC Nephrology. 13(1). 129–129. 38 indexed citations
8.
Cheng, K. F., et al.. (2012). Risk of esophagus cancer in diabetes mellitus: a population-based case-control study in Taiwan. BMC Gastroenterology. 12(1). 177–177. 26 indexed citations
9.
Cheng, K. F., Shih‐Wei Lai, I‐Ju Tsai, et al.. (2012). Diabetes and risk of subsequent gastric cancer: a population-based cohort study in Taiwan. Gastric Cancer. 16(3). 389–396. 43 indexed citations
10.
Cheng, K. F., et al.. (2010). Studying the Joint Effects of Population Stratification and Sampling in Case-Control Association Studies. Human Heredity. 69(4). 254–261. 2 indexed citations
11.
Cheng, K. F., et al.. (2010). A robust TDT‐type association test under informative parental missingness. Statistics in Medicine. 30(3). 291–297. 1 indexed citations
12.
Lien, Han‐Chung, Cheng‐Chi Wang, Jeng‐Yuan Hsu, et al.. (2010). Classical reflux symptoms, hiatus hernia and overweight independently predict pharyngeal acid exposure in patients with suspected reflux laryngitis. Alimentary Pharmacology & Therapeutics. 33(1). 89–98. 15 indexed citations
13.
Lee, Wen‐Chung, Lingyi Wang, & K. F. Cheng. (2010). An easy‐to‐implement approach for analyzing case–control and case‐only studies assuming gene–environment independence and Hardy–Weinberg equilibrium. Statistics in Medicine. 29(24). 2557–2567. 9 indexed citations
14.
Cheng, K. F., et al.. (2009). Predicting bankruptcy using the discrete-time semiparametric hazard model. Quantitative Finance. 10(9). 1055–1066. 27 indexed citations
15.
Cheng, K. F., et al.. (2009). A Powerful Two-Stage Association Test Using Case-Control and Case-Parents Genotype Data. Human Heredity. 68(4). 278–287. 2 indexed citations
16.
Cheng, K. F.. (2006). Analysis of Case‐Only Studies Accounting for Genotyping Error. Annals of Human Genetics. 71(2). 238–248. 10 indexed citations
17.
Cheng, K. F.. (2006). A maximum likelihood method for studying gene–environment interactions under conditional independence of genotype and exposure. Statistics in Medicine. 25(18). 3093–3109. 13 indexed citations
18.
Cheng, K. F. & C. K. Chu. (2004). Semiparametric density estimation under a two-sample density ratio model. Bernoulli. 10(4). 34 indexed citations
19.
Cheng, K. F., et al.. (1998). Goodness of fit tests with misclassified data. Communication in Statistics- Theory and Methods. 27(6). 1379–1393. 3 indexed citations
20.
Cheng, K. F., et al.. (1994). Adjusted Least Squares Estimates for the Scaled Regression Coefficients with Censored Data. Journal of the American Statistical Association. 89(428). 1483–1491. 8 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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