Andy Liaw
Impact in
- Ecological Modeling top 0.2%
- Species Distribution and Climate Change
- Environmental Engineering top 0.2%
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
Papers in
-
- Metabolomics and Mass Spectrometry Studies 10
-
- Computational Drug Discovery Methods 12
- Co-authors
- Matthew C. Wiener (2 shared papers)Robert P. Sheridan (11 shared papers)Vladimir Svetnik (9 shared papers)Anantha Prasad (2 shared papers)Louis R. Iverson (2 shared papers)Christopher Tong (3 shared papers)Bradley P. Feuston (1 shared paper)Joseph Culberson (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (8 papers)SLAS DISCOVERY (3 papers)Drug Metabolism and Disposition (2 papers)Journal of Proteome Research (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Andy Liaw
32 papers receiving 20.9k citations
Andy Liaw's Hit Papers
Peers
Comparison fields: 5 of 231
- Ecological Modeling 1.3k
- Environmental Engineering 2.7k
- Ecology 4.3k
- Nature and Landscape Conservation 2.0k
- Global and Planetary Change 3.1k
Countries citing papers authored by Andy Liaw
This map shows the geographic impact of Andy Liaw'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 Andy Liaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Liaw more than expected).
Fields of papers citing papers by Andy Liaw
This network shows the impact of papers produced by Andy Liaw. 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 Andy Liaw. The network helps show where Andy Liaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy Liaw, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification and Regression by randomForest Hit paper breakdown → | 2007 | 14518 |
| 2 | Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling Hit paper breakdown → | 2003 | 2688 |
| 3 | Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction Hit paper breakdown → | 2006 | 1791 |
| 4 | Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships Hit paper breakdown → | 2015 | 798 |
| 5 | Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships Hit paper breakdown → | 2016 | 403 |
| 6 | 2003 | 251 | |
| 7 | 2017 | 176 | |
| 8 | 2005 | 166 | |
| 9 | 2020 | 146 | |
| 10 | 2010 | 74 | |
| 11 | 2015 | 56 | |
| 12 | 1994 | 52 | |
| 13 | 2003 | 50 | |
| 14 | 2020 | 46 | |
| 15 | 2010 | 37 | |
| 16 | 2020 | 35 | |
| 17 | 2011 | 28 | |
| 18 | New machine learning tools for predictive vegetation mapping after climate change: Bagging and Random Forest perform better than Regression Tree Analysis. | 2004 | 21 |
| 19 | 2019 | 17 | |
| 20 | 2009 | 15 |
About Andy Liaw
Andy Liaw is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Spectroscopy and Oncology, having authored 34 papers that have together received 21.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Machine Learning in Materials Science (7 papers), Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Muscle metabolism and nutrition (2 papers), Hormonal and reproductive studies (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Ecological Modeling (1.3k citations), Environmental Engineering (2.7k citations), Ecology (4.3k citations), Nature and Landscape Conservation (2.0k citations) and Global and Planetary Change (3.1k citations). Andy Liaw has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Matthew C. Wiener, Robert P. Sheridan, Vladimir Svetnik, Anantha Prasad, Louis R. Iverson, Christopher Tong, Bradley P. Feuston, Joseph Culberson, Junshui Ma and George E. Dahl. Their work appears in journals such as Journal of Chemical Information and Modeling, SLAS DISCOVERY, Drug Metabolism and Disposition, Journal of Proteome Research and Scientific Reports.
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.