Po‐Ling Loh
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 4
- Machine Learning and Algorithms 3
-
- Statistical Methods and Inference 11
- Advanced Statistical Methods and Models 4
- Co-authors
- Martin J. Wainwright (5 shared papers)Varun Jog (13 shared papers)Jina Ko (1 shared paper)Konrad P. Körding (1 shared paper)Steven N. Baldassano (1 shared paper)David Issadore (1 shared paper)Brian Litt (1 shared paper)Min Xu (1 shared paper)
- Journals
- The Annals of Statistics (3 papers)Nuclear Engineering and Design (2 papers)Information and Inference A Journal of the IMA (2 papers)IEEE Transactions on Network Science and Engineering (2 papers)IEEE Transactions on Information Theory (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Po‐Ling Loh
35 papers receiving 697 citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 270
- Computational Mechanics 172
- Artificial Intelligence 218
- Computational Mathematics 4
- Health Informatics 8
Countries citing papers authored by Po‐Ling Loh
This map shows the geographic impact of Po‐Ling Loh'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 Po‐Ling Loh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po‐Ling Loh more than expected).
Fields of papers citing papers by Po‐Ling Loh
This network shows the impact of papers produced by Po‐Ling Loh. 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 Po‐Ling Loh. The network helps show where Po‐Ling Loh may publish in the future.
Co-authors
The 25 scholars most cited alongside Po‐Ling Loh, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 232 | |
| 2 | Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima | 2013 | 122 |
| 3 | 2017 | 118 | |
| 4 | 2020 | 32 | |
| 5 | 2011 | 25 | |
| 6 | 2020 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2018 | 17 | |
| 9 | 2012 | 14 | |
| 10 | 2016 | 14 | |
| 11 | 2021 | 12 | |
| 12 | 2009 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2017 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2015 | 5 | |
| 18 | 2023 | 5 | |
| 19 | Adversarial Risk Bounds for Binary Classification via Function Transformation. | 2018 | 5 |
| 20 | 2024 | 4 |
About Po‐Ling Loh
Po‐Ling Loh is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Networks and Communications, Computational Mechanics and Statistical and Nonlinear Physics, having authored 36 papers that have together received 726 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Sparse and Compressive Sensing Techniques (8 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Complex Network Analysis Techniques (5 papers), Adversarial Robustness in Machine Learning (4 papers), Advanced Statistical Methods and Models (4 papers), Machine Learning and Algorithms (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (270 citations), Computational Mechanics (172 citations), Artificial Intelligence (218 citations), Computational Mathematics (4 citations) and Health Informatics (8 citations). Po‐Ling Loh has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Martin J. Wainwright, Varun Jog, Jina Ko, Konrad P. Körding, Steven N. Baldassano, David Issadore, Brian Litt, Min Xu, Todd R. Allen and Kaibo Liu. Their work appears in journals such as The Annals of Statistics, Nuclear Engineering and Design, Information and Inference A Journal of the IMA, IEEE Transactions on Network Science and Engineering and IEEE Transactions on Information Theory.
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.