Po‐Ling Loh

2.0k total citations
36 papers, 703 citations indexed

About

Po‐Ling Loh is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Po‐Ling Loh has authored 36 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 8 papers in Computer Networks and Communications. Recurrent topics in Po‐Ling Loh's work include Statistical Methods and Inference (11 papers), Sparse and Compressive Sensing Techniques (8 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). Po‐Ling Loh is often cited by papers focused on Statistical Methods and Inference (11 papers), Sparse and Compressive Sensing Techniques (8 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). Po‐Ling Loh collaborates with scholars based in United States, United Kingdom and Netherlands. Po‐Ling Loh's co-authors include Martin J. Wainwright, Varun Jog, Jina Ko, Steven N. Baldassano, David Issadore, Brian Litt, Konrad P. Körding, Min Xu, Kaibo Liu and Todd R. Allen and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and IEEE Access.

In The Last Decade

Po‐Ling Loh

34 papers receiving 673 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Po‐Ling Loh United States 12 264 214 169 90 70 36 703
Yuling Jiao China 15 148 0.6× 81 0.4× 298 1.8× 96 1.1× 38 0.5× 67 672
Donghyeon Yu South Korea 16 53 0.2× 201 0.9× 161 1.0× 195 2.2× 24 0.3× 57 909
C. Eric United States 13 125 0.5× 279 1.3× 147 0.9× 130 1.4× 35 0.5× 41 743
Yunzhang Zhu United States 10 220 0.8× 174 0.8× 117 0.7× 75 0.8× 25 0.4× 19 492
Shuheng Zhou United States 13 263 1.0× 372 1.7× 122 0.7× 68 0.8× 30 0.4× 41 852
Eunho Yang South Korea 15 134 0.5× 405 1.9× 65 0.4× 127 1.4× 19 0.3× 74 691
Cun-Hui Zhang United States 11 449 1.7× 194 0.9× 79 0.5× 104 1.2× 16 0.2× 16 825
Mladen Kolar United States 13 137 0.5× 236 1.1× 89 0.5× 128 1.4× 33 0.5× 61 542
Jiantao Jiao United States 13 141 0.5× 411 1.9× 31 0.2× 45 0.5× 85 1.2× 54 711

Countries citing papers authored by Po‐Ling Loh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Po‐Ling Loh

This figure shows the co-authorship network connecting the top 25 collaborators of Po‐Ling Loh. A scholar is included among the top collaborators of Po‐Ling Loh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Po‐Ling Loh. Po‐Ling Loh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Jinnian, Xiaomin Zhang, Po‐Ling Loh, et al.. (2024). BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation. Tomography. 10(12). 2058–2072. 2 indexed citations
2.
Loh, Po‐Ling. (2024). A Theoretical Review of Modern Robust Statistics. Annual Review of Statistics and Its Application. 12(1). 477–496. 2 indexed citations
3.
Jog, Varun, et al.. (2024). Simple Binary Hypothesis Testing Under Local Differential Privacy and Communication Constraints. IEEE Transactions on Information Theory. 71(1). 592–617. 3 indexed citations
4.
5.
Liu, Zheng & Po‐Ling Loh. (2022). Robust W-GAN-based estimation under Wasserstein contamination. Information and Inference A Journal of the IMA. 12(1). 312–362. 2 indexed citations
6.
Loh, Po‐Ling, et al.. (2022). Simple Binary Hypothesis Testing under Communication Constraints. 2022 IEEE International Symposium on Information Theory (ISIT). 3297–3302. 2 indexed citations
7.
Loh, Po‐Ling, et al.. (2022). Automatic recognition system for document digitization in nuclear power plants. Nuclear Engineering and Design. 398. 111975–111975. 1 indexed citations
8.
Liu, Zheng, Jinnian Zhang, Varun Jog, Po‐Ling Loh, & Alan B. McMillan. (2021). Robustifying Deep Networks for Medical Image Segmentation. Journal of Digital Imaging. 34(5). 1279–1293. 12 indexed citations
9.
Loh, Po‐Ling, et al.. (2020). RNN-Based online anomaly detection in nuclear reactors for highly imbalanced datasets with uncertainty. Nuclear Engineering and Design. 364. 110699–110699. 30 indexed citations
10.
Jog, Varun, et al.. (2019). Mean estimation for entangled single-sample distributions. 3052–3056. 4 indexed citations
11.
Nair, Veena A., Po‐Ling Loh, Alexander Remsik, et al.. (2018). Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis. Frontiers in Neuroscience. 12. 861–861. 15 indexed citations
12.
Loh, Po‐Ling, et al.. (2018). Online Learning with Graph-Structured Feedback against Adaptive Adversaries. 931–935. 3 indexed citations
13.
Wibisono, Andre, Varun Jog, & Po‐Ling Loh. (2017). Information and estimation in Fokker-Planck channels. 2673–2677. 10 indexed citations
14.
Jog, Varun, et al.. (2016). Computing and maximizing influence in linear threshold and triggering models. Neural Information Processing Systems. 29. 4538–4546. 3 indexed citations
15.
Cheng, M., et al.. (2016). Collection, exploration and analysis of crowdfunding social networks. 25–30. 3 indexed citations
16.
Jog, Varun & Po‐Ling Loh. (2016). Analysis of Centrality in Sublinear Preferential Attachment Trees via the Crump-Mode-Jagers Branching Process. IEEE Transactions on Network Science and Engineering. 4(1). 1–12. 14 indexed citations
17.
Loh, Po‐Ling & Martin J. Wainwright. (2013). Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima. ScholarlyCommons (University of Pennsylvania). 16(1). 476–484. 121 indexed citations
18.
Loh, Po‐Ling. (2013). Local Optima of Nonconvex Regularized M-Estimators. UC Berkeley. 3 indexed citations
19.
Loh, Po‐Ling & Martin J. Wainwright. (2012). High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity. The Annals of Statistics. 40(3). 226 indexed citations
20.
Loh, Po‐Ling & Martin J. Wainwright. (2012). Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses. ScholarlyCommons (University of Pennsylvania). 25. 2087–2095. 5 indexed citations

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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