Hongming Pu

674 total citations
7 papers, 228 citations indexed

About

Hongming Pu is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hongming Pu has authored 7 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Hongming Pu's work include Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (3 papers) and Machine Learning and ELM (1 paper). Hongming Pu is often cited by papers focused on Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (3 papers) and Machine Learning and ELM (1 paper). Hongming Pu collaborates with scholars based in United States and China. Hongming Pu's co-authors include Liwei Wang, Feicheng Wang, Lu Zhou, Zhiqiang Hu, Bo Zhang, Eric Tchetgen Tchetgen, Xu Shi, Yifan Cui, Wang Miao and Tommaso Cai and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.

In The Last Decade

Hongming Pu

7 papers receiving 217 citations

Peers

Hongming Pu

AI

CVPR

SNP

EEE

SP

Lorenzo Finesso Italy

Zhang Shi-jun China

Ricky T. Q. Chen Canada

Jaehoon Lee South Korea

James Lo United States

Boris Hanin United States

Mike Innes India

Nan Zhao China

George Papamakarios United Kingdom

Talal Ahmed Ali Ali China

Lorenzo Finesso Italy

Hongming Pu

66 ×0.6

AI

27 ×0.6

CVPR

30 ×0.8

SNP

25 ×0.9

EEE

21 ×0.9

SP

Citations per year, relative to Hongming Pu Hongming Pu (= 1×) peers Lorenzo Finesso

Countries citing papers authored by Hongming Pu

Since Specialization

Citations

This map shows the geographic impact of Hongming Pu'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 Hongming Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongming Pu more than expected).

Fields of papers citing papers by Hongming Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hongming Pu. 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 Hongming Pu. The network helps show where Hongming Pu may publish in the future.

Co-authorship network of co-authors of Hongming Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongming Pu. A scholar is included among the top collaborators of Hongming Pu 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 Hongming Pu. Hongming Pu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Cai, Tommaso, Dongwoo Kim, & Hongming Pu. (2024). Transfer learning for functional mean estimation: Phase transition and adaptive algorithms. The Annals of Statistics. 52(2). 3 indexed citations

2.

Cui, Yifan, Hongming Pu, Xu Shi, Wang Miao, & Eric Tchetgen Tchetgen. (2023). Semiparametric Proximal Causal Inference. Journal of the American Statistical Association. 119(546). 1348–1359. 19 indexed citations

3.

Cai, Tommaso & Hongming Pu. (2022). Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm. The Annals of Statistics. 50(4). 2 indexed citations

4.

Zhang, Bo & Hongming Pu. (2021). Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020). Journal of the American Statistical Association. 116(533). 196–199. 3 indexed citations

5.

Pu, Hongming & Bo Zhang. (2021). Estimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach. Journal of the Royal Statistical Society Series B (Statistical Methodology). 83(2). 318–345. 7 indexed citations

6.

Pu, Hongming & Bo Zhang. (2020). Estimating Optimal Treatment Rules with an Instrumental Variable: A Semi-Supervised Learning Approach. arXiv (Cornell University). 1 indexed citations

7.

Zhou, Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, & Liwei Wang. (2017). The expressive power of neural networks: a view from the width. Neural Information Processing Systems. 30. 6232–6240. 193 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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