Yi‐Ting Hwang

1.4k citations
67 papers · 1.1k · h-index 17

Impact in

    • Breast Cancer Treatment Studies
    • Global Cancer Incidence and Screening
    • Cancer survivorship and care

Papers in

Yi‐Ting Hwang

62 papers receiving 1.1k citations

Peers

Yi‐Ting Hwang
Comparison fields: 5 of 143
  • Cancer Research 128
  • Oncology 222
  • Statistics and Probability 69
  • Health, Toxicology and Mutagenesis 89
  • Environmental Chemistry 50
Replace M. J. Gardner with:
M. J. Gardner United Kingdom
Guylène Thériault Canada
Lauren E. McCullough United States
Laura Lee Johnson United States
Keith Binks United Kingdom
Sarah C. Gadd United Kingdom
Janet Rose Osuch United States
Svenja Seide Germany
Marilyn J. Borugian Canada
Marie‐Elise Parent France
Yi‐Ting Hwang relative to M. J. Gardner United Kingdom M. J. Gardner's profile →
Citations per field
00.5×2×4×6×8.6×
M. J. Gardner · 1×
Citations per year

Countries citing papers authored by Yi‐Ting Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ting Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Ting Hwang. 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 Yi‐Ting Hwang. The network helps show where Yi‐Ting Hwang may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi‐Ting Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi‐Ting Hwang Line = papers co-authored together Yi‐Ting Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002131
2 2004120
3 200290
4 201363
5 200859
6 201955
7 200345
8 200236
9 200334
10 200232
11 202030
12 202029
13 200327
14 201827
15 201825
16 201820
17 202120
18 202117
19 201717
20 201917

About Yi‐Ting Hwang

Yi‐Ting Hwang is a scholar working on Statistics and Probability, Management Science and Operations Research, Rehabilitation, Cardiology and Cardiovascular Medicine and Statistics, Probability and Uncertainty, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Bayesian Inference (6 papers), Statistical Distribution Estimation and Applications (6 papers), Optimal Experimental Design Methods (5 papers), Statistical Methods and Inference (4 papers), Context-Aware Activity Recognition Systems (3 papers), Gene expression and cancer classification (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Cancer Research (128 citations), Oncology (222 citations), Statistics and Probability (69 citations), Health, Toxicology and Mutagenesis (89 citations) and Environmental Chemistry (50 citations). Yi‐Ting Hwang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Jeanne S. Mandelblatt, Julia Howe Rowland, Jack Hadley, Jane C. Weeks, Hui‐Ling Lee, Chien‐Yu Lin, Ta‐Chen Su, Melissa I. Figueiredo, Jennifer C. Cullen and Karen F. Gold. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Clinical Oncology, Statistics and Computing, Cancer 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.

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