Minh Tang

1.9k total citations
46 papers, 644 citations indexed

About

Minh Tang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Minh Tang has authored 46 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 18 papers in Artificial Intelligence and 10 papers in Statistics and Probability. Recurrent topics in Minh Tang's work include Complex Network Analysis Techniques (20 papers), Face and Expression Recognition (6 papers) and Corneal surgery and disorders (6 papers). Minh Tang is often cited by papers focused on Complex Network Analysis Techniques (20 papers), Face and Expression Recognition (6 papers) and Corneal surgery and disorders (6 papers). Minh Tang collaborates with scholars based in United States, Sweden and United Kingdom. Minh Tang's co-authors include Carey E. Priebe, Daniel L. Sussman, Vince Lyzinski, Donniell E. Fishkind, Avanti Athreya, Youngser Park, Joshua Cape, Joshua T Vogelstein, Heng Wang and Keith Levin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Minh Tang

38 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minh Tang United States	13	349	266	121	99	94	46	644
Vince Lyzinski United States	10	192 0.6×	237 0.9×	64 0.5×	69 0.7×	129 1.4×	28	484
Aiyou Chen United States	9	348 1.0×	225 0.8×	137 1.1×	21 0.2×	45 0.5×	19	623
Donniell E. Fishkind United States	9	149 0.4×	207 0.8×	35 0.3×	38 0.4×	152 1.6×	23	468
Amin Vahdat United States	5	431 1.2×	180 0.7×	13 0.1×	36 0.4×	86 0.9×	6	743
Yuliy Baryshnikov United States	18	74 0.2×	130 0.5×	183 1.5×	31 0.3×	32 0.3×	83	817
Avanti Athreya United States	7	126 0.4×	88 0.3×	41 0.3×	45 0.5×	21 0.2×	16	243
Mátyás A. Sustik United States	7	40 0.1×	272 1.0×	150 1.2×	49 0.5×	228 2.4×	10	749
Venkat Chandrasekaran United States	11	44 0.1×	184 0.7×	121 1.0×	32 0.3×	82 0.9×	27	589
Onureena Banerjee United States	4	62 0.2×	423 1.6×	472 3.9×	83 0.8×	79 0.8×	5	1.0k
Mikio L. Braun Germany	9	43 0.1×	314 1.2×	41 0.3×	95 1.0×	130 1.4×	16	597

Countries citing papers authored by Minh Tang

Since Specialization

Citations

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

Fields of papers citing papers by Minh Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minh Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Minh Tang. A scholar is included among the top collaborators of Minh Tang 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 Minh Tang. Minh Tang 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:

20 of 20 papers shown

Tang, Minh, et al.. (2023). Motif-Based Exploratory Data Analysis for State-Backed Platform Manipulation on Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 17. 315–326. 1 indexed citations

Lyzinski, Vince, et al.. (2022). Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming. Journal of Computational and Graphical Statistics. 31(4). 1254–1268.

Tang, Minh, et al.. (2019). Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics. arXiv (Cornell University). 2 indexed citations

Athreya, Avanti, Donniell E. Fishkind, Minh Tang, et al.. (2018). Statistical inference on random dot product graphs: a survey. Journal of Machine Learning Research. 18(226). 1–92. 47 indexed citations

Vogelstein, Joshua T, Eric Bridgeford, Minh Tang, et al.. (2017). Geometric Dimensionality Reduction for Subsequent Classification. arXiv (Cornell University).

Levin, Keith, Avanti Athreya, Minh Tang, Vince Lyzinski, & Carey E. Priebe. (2017). A central limit theorem for an omnibus embedding of random dot product graphs. arXiv (Cornell University). 3 indexed citations

Vogelstein, Joshua T, Minh Tang, Da Zheng, Randal Burns, & Mauro Maggioni. (2017). Linear Optimal Low Rank Projection for High-Dimensional Multi-class Data. arXiv (Cornell University).

Rubin‐Delanchy, Patrick, Carey E. Priebe, & Minh Tang. (2017). The generalised random dot product graph. arXiv (Cornell University). 1 indexed citations

Shen, Cencheng, Ming Sun, Minh Tang, & Carey E. Priebe. (2014). Generalized canonical correlation analysis for classification. Journal of Multivariate Analysis. 130. 310–322. 21 indexed citations

10.

Wang, Heng, Minh Tang, Youngser Park, & Carey E. Priebe. (2014). Locality Statistics for Anomaly Detection in Time Series of Graphs. IEEE Transactions on Signal Processing. 62(3). 703–717. 56 indexed citations

11.

Athreya, Avanti, Vince Lyzinski, David J. Marchette, et al.. (2013). A limit theorem for scaled eigenvectors of random dot product graphs. arXiv (Cornell University). 3 indexed citations

12.

Sussman, Daniel L., Minh Tang, & Carey E. Priebe. (2013). Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(1). 48–57. 46 indexed citations

13.

Sussman, Daniel L., Minh Tang, Donniell E. Fishkind, & Carey E. Priebe. (2011). A consistent dot product embedding for stochastic blockmodel graphs. arXiv (Cornell University). 5 indexed citations

14.

Tang, Minh, et al.. (2009). Corneal Topography and Power Measurement With Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 50(13). 5791–5791. 1 indexed citations

15.

Schallhorn, Julie M., et al.. (2008). Corneal Refractive Index Changes in Keratoconus. Investigative Ophthalmology & Visual Science. 49(13). 4345–4345.

16.

Tang, Minh, et al.. (2008). Differential Diagnosis of Eccentric Corneal Steepening After Hyperopic LASIK by Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 49(13). 2810–2810.

17.

Huang, David T. & Minh Tang. (2008). Corneal Power Measurement With Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 49(13). 3267–3267. 1 indexed citations

18.

Tang, Minh, et al.. (2007). Keratoconus Screening With High-Speed Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 48(13). 4019–4019. 1 indexed citations

19.

Tang, Minh, et al.. (2006). Corneal Power Change After LASIK Accessed by High–Speed Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 47(13). 583–583. 1 indexed citations

20.

Tang, Minh, et al.. (2004). Variants of A* for planning. European Conference on Artificial Intelligence. 1095–1096. 1 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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