W.-P. Liao
Impact in
- Astronomy and Astrophysics top 5%
- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Astro and Planetary Science
- Astrophysical Phenomena and Observations
- Instrumentation top 10%
- Astronomy and Astrophysical Research
Papers in
-
- Stellar, planetary, and galactic studies 16
- Astrophysics and Star Formation Studies 11
- Astrophysical Phenomena and Observations 7
- Astro and Planetary Science 3
-
- Astronomy and Astrophysical Research 7
- Co-authors
- S.‐B. Qian (10 shared papers)Li-Ying Zhu (10 shared papers)Kaiming Li (4 shared papers)Z.-B. Dai (3 shared papers)Guang Wang (4 shared papers)Enyu Zhao (7 shared papers)Wenbo Zhao (3 shared papers)E. Fernández Lajús (6 shared papers)
In The Last Decade
W.-P. Liao
23 papers receiving 371 citations
Peers
Comparison fields: 5 of 46
- Astronomy and Astrophysics 282
- Instrumentation 56
- Health, Toxicology and Mutagenesis 73
- Pollution 55
- Environmental Chemistry 19
Countries citing papers authored by W.-P. Liao
This map shows the geographic impact of W.-P. Liao'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 W.-P. Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.-P. Liao more than expected).
Fields of papers citing papers by W.-P. Liao
This network shows the impact of papers produced by W.-P. Liao. 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 W.-P. Liao. The network helps show where W.-P. Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside W.-P. Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 48 | |
| 2 | 2015 | 35 | |
| 3 | 2019 | 32 | |
| 4 | 2015 | 32 | |
| 5 | 2009 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2013 | 24 | |
| 8 | 2013 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 2012 | 12 | |
| 13 | 2007 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2006 | 7 | |
| 20 | 2018 | 6 |
About W.-P. Liao
W.-P. Liao is a scholar working on Astronomy and Astrophysics, Instrumentation, Pollution, Health, Toxicology and Mutagenesis and Computational Mechanics, having authored 24 papers that have together received 385 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (16 papers), Astrophysics and Star Formation Studies (11 papers), Astronomy and Astrophysical Research (7 papers), Astrophysical Phenomena and Observations (7 papers), Heavy Metal Exposure and Toxicity (4 papers), Mercury impact and mitigation studies (4 papers), Heavy metals in environment (4 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Astronomy and Astrophysics (282 citations), Instrumentation (56 citations), Health, Toxicology and Mutagenesis (73 citations), Pollution (55 citations) and Environmental Chemistry (19 citations). W.-P. Liao has collaborated with scholars based in China, Argentina and Thailand. Frequent co-authors include S.‐B. Qian, Li-Ying Zhu, Kaiming Li, Z.-B. Dai, Guang Wang, Enyu Zhao, Wenbo Zhao, E. Fernández Lajús, Ye Wu and J.-J. He. Their work appears in journals such as New Astronomy, The Astrophysical Journal, The Astronomical Journal, The Astrophysical Journal Letters and Journal of Agricultural and Food Chemistry.
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.