David Hong

770 total citations
29 papers, 464 citations indexed

About

David Hong is a scholar working on Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, David Hong has authored 29 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 7 papers in Electrical and Electronic Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in David Hong's work include Sparse and Compressive Sensing Techniques (5 papers), Software Testing and Debugging Techniques (5 papers) and Blind Source Separation Techniques (4 papers). David Hong is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Software Testing and Debugging Techniques (5 papers) and Blind Source Separation Techniques (4 papers). David Hong collaborates with scholars based in United States, Gambia and United Kingdom. David Hong's co-authors include Z. Morley Mao, Tamara G. Kolda, Laura Balzano, Jeffrey A. Fessler, Sujata Banerjee, Yadi Ma, Michael F. Clarke, Scott Mahlke, Qi Alfred Chen and Mark S. Gordon and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and IEEE Transactions on Information Theory.

In The Last Decade

David Hong

27 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hong United States 10 150 128 72 72 55 29 464
Huiyuan Chen United States 16 39 0.3× 17 0.1× 62 0.9× 287 4.0× 104 1.9× 53 603
Bruno Quoitin Belgium 15 953 6.4× 426 3.3× 31 0.4× 219 3.0× 8 0.1× 48 1.1k
Bingzhe Wu China 12 52 0.3× 54 0.4× 7 0.1× 267 3.7× 23 0.4× 33 455
Ely Porat Israel 17 241 1.6× 53 0.4× 4 0.1× 594 8.3× 270 4.9× 100 874
Tor Lattimore Canada 9 178 1.2× 130 1.0× 4 0.1× 315 4.4× 16 0.3× 32 630
Yuichi Asahiro Japan 8 97 0.6× 17 0.1× 5 0.1× 82 1.1× 27 0.5× 34 316
Mingyu Xiao China 13 191 1.3× 45 0.4× 2 0.0× 119 1.7× 18 0.3× 82 504

Countries citing papers authored by David Hong

Since Specialization
Citations

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

Fields of papers citing papers by David Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hong

This figure shows the co-authorship network connecting the top 25 collaborators of David Hong. A scholar is included among the top collaborators of David Hong 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 David Hong. David Hong 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.
Hong, David, Fan Yang, Jeffrey A. Fessler, & Laura Balzano. (2023). Optimally Weighted PCA for High-Dimensional Heteroscedastic Data. SIAM Journal on Mathematics of Data Science. 5(1). 222–250. 4 indexed citations
2.
Dobriban, Edgar, Hamed Hassani, David Hong, & Alexander Robey. (2023). Provable Tradeoffs in Adversarially Robust Classification. IEEE Transactions on Information Theory. 69(12). 7793–7822. 4 indexed citations
3.
Hong, David, Rounak Dey, Xihong Lin, Brian Cleary, & Edgar Dobriban. (2022). Group testing via hypergraph factorization applied to COVID-19. Nature Communications. 13(1). 1837–1837. 4 indexed citations
4.
Zhang, Qingzhao, et al.. (2022). AVMaestro: A Centralized Policy Enforcement Framework for Safe Autonomous-driving Environments. 2022 IEEE Intelligent Vehicles Symposium (IV). 1333–1339. 2 indexed citations
5.
Hong, David, et al.. (2021). HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise. IEEE Transactions on Signal Processing. 69. 4819–4834. 13 indexed citations
6.
Cleary, Brian, James A. Hay, Brendan Blumenstiel, et al.. (2021). Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings. Science Translational Medicine. 13(589). 30 indexed citations
7.
Zhang, Qingzhao, David Hong, Ze Zhang, et al.. (2021). A Systematic Framework to Identify Violations of Scenario-dependent Driving Rules in Autonomous Vehicle Software. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 5(2). 1–25. 9 indexed citations
8.
Zhang, Qingzhao, David Hong, Ze Zhang, et al.. (2021). A Systematic Framework to Identify Violations of Scenario-dependent Driving Rules in Autonomous Vehicle Software. 43–44. 10 indexed citations
9.
Hong, David, et al.. (2020). Subspace clustering using ensembles of K-subspaces. Information and Inference A Journal of the IMA. 10(1). 73–107. 6 indexed citations
10.
Lei, Shunbo, David Hong, Johanna L. Mathieu, & Ian A. Hiskens. (2020). Baseline estimation of commercial building HVAC fan power using tensor completion. Electric Power Systems Research. 189. 106624–106624. 1 indexed citations
11.
Hong, David, et al.. (2020). Generalized Canonical Polyadic Tensor Decomposition. SIAM Review. 62(1). 133–163. 80 indexed citations
12.
Hong, David, Ashkan Nikravesh, Z. Morley Mao, Mahesh Ketkar, & Michael Kishinevsky. (2019). PerfProbe: A Systematic, Cross-Layer Performance Diagnosis Framework for Mobile Platforms. 50–61. 3 indexed citations
13.
14.
Hong, David, Laura Balzano, & Jeffrey A. Fessler. (2018). Asymptotic performance of PCA for high-dimensional heteroscedastic data. Journal of Multivariate Analysis. 167. 435–452. 49 indexed citations
15.
Hong, David, et al.. (2018). Learning Dictionary-Based Unions of Subspaces for Image Denoising. 1597–1601. 1 indexed citations
16.
Hong, David, Qi Alfred Chen, & Z. Morley Mao. (2017). An Initial Investigation of Protocol Customization. 57–64. 7 indexed citations
17.
Hong, David, Yadi Ma, Sujata Banerjee, & Z. Morley Mao. (2016). Incremental Deployment of SDN in Hybrid Enterprise and ISP Networks. 1–7. 83 indexed citations
18.
Gordon, Mark S., David Hong, Peter M. Chen, et al.. (2015). Accelerating Mobile Applications through Flip-Flop Replication. 137–150. 51 indexed citations
19.
Hong, David & Jeffrey Krolik. (2013). Exploiting HF ambient noise to synchronize distributed receivers. 1–1.
20.
Hong, David, et al.. (1998). Cooperation of a Single Lysine Mutation and a C-terminal Domain in the Cytoplasmic Sequestration of the p53 Protein. Journal of Biological Chemistry. 273(31). 19817–19821. 47 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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