Ping‐Yu Liu
Impact in
- Oncology top 2%
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Statistics and Probability top 1%
- Statistical Methods and Inference
Papers in
-
- Venous Thromboembolism Diagnosis and Management 5
-
- Statistical Methods and Inference 5
- Statistical Methods in Clinical Trials 5
- Co-authors
- Marshall M. UristCharles M. BalchSeng‐Jaw SoongJohn M. KirkwoodJohn F. ThompsonMerrick I. RossGary H. LymanYuting Zhang
- Journals
- Journal of Clinical Oncology (4 papers)Vascular Medicine (2 papers)Biometrika (2 papers)Urology (2 papers)Sustainable Cities and Society (2 papers)
- Partner nations
- United StatesTaiwanSouth Africa
In The Last Decade
Ping‐Yu Liu
34 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Oncology 1.6k
- Statistics and Probability 309
- Dermatology 270
- Immunology and Allergy 184
- Biophysics 125
Countries citing papers authored by Ping‐Yu Liu
This map shows the geographic impact of Ping‐Yu Liu'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 Ping‐Yu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping‐Yu Liu more than expected).
Fields of papers citing papers by Ping‐Yu Liu
This network shows the impact of papers produced by Ping‐Yu Liu. 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 Ping‐Yu Liu. The network helps show where Ping‐Yu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping‐Yu Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 25 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 4 | |
| 13 | 2016 | 3 | |
| 14 | 2010 | 56 | |
| 15 | 1998 | 6 | |
| 16 | 1998 | 29 | |
| 17 | 1998 | 1 | |
| 18 | 1995 | 14 | |
| 19 | 1992 | 6 | |
| 20 | 1982 | 22 |
About Ping‐Yu Liu
Ping‐Yu Liu is a scholar working on Internal Medicine, Statistics and Probability, Critical Care and Intensive Care Medicine, Transportation and Management Science and Operations Research, having authored 36 papers that have together received 2.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Statistical Methods in Clinical Trials (5 papers), Urban Transport and Accessibility (4 papers), Optimal Experimental Design Methods (4 papers), Ultrasound in Clinical Applications (4 papers), Acute Ischemic Stroke Management (3 papers) and Smart Parking Systems Research (2 papers). The work is most often cited by research in Oncology (1.6k citations), Statistics and Probability (309 citations), Dermatology (270 citations), Immunology and Allergy (184 citations) and Biophysics (125 citations). Ping‐Yu Liu has collaborated with scholars based in United States, Taiwan and South Africa. Frequent co-authors include Marshall M. Urist, Charles M. Balch, Seng‐Jaw Soong, John M. Kirkwood, John F. Thompson, Merrick I. Ross, Gary H. Lyman, Yuting Zhang, David R. Byrd and Douglas S. Reintgen. Their work appears in journals such as Journal of Clinical Oncology, Vascular Medicine, Biometrika, Urology and Sustainable Cities and Society.
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.