Sui Tang

557 total citations
28 papers, 255 citations indexed

About

Sui Tang is a scholar working on Statistical and Nonlinear Physics, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Sui Tang has authored 28 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 7 papers in Applied Mathematics and 6 papers in Computational Mechanics. Recurrent topics in Sui Tang's work include Mathematical Analysis and Transform Methods (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Complex Network Analysis Techniques (4 papers). Sui Tang is often cited by papers focused on Mathematical Analysis and Transform Methods (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Complex Network Analysis Techniques (4 papers). Sui Tang collaborates with scholars based in United States, China and Belarus. Sui Tang's co-authors include Mauro Maggioni, Fei Lu, Akram Aldroubi, Carlos Cabrelli, Ursula Molter, Yonina C. Eldar, Wenjing Liao, Yangyi Zhang, Yu Guo and Xueming Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Sui Tang

26 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sui Tang United States	9	84	63	44	36	29	28	255
Nicola Bruti‐Liberati Australia	6	46 0.5×	33 0.5×	29 0.7×	34 0.9×	24 0.8×	10	352
Leonid Koralov United States	8	61 0.7×	32 0.5×	33 0.8×	122 3.4×	22 0.8×	32	352
S. Martin Germany	9	169 2.0×	33 0.5×	28 0.6×	17 0.5×	23 0.8×	15	427
Muhammad Marwan China	11	165 2.0×	27 0.4×	41 0.9×	17 0.5×	12 0.4×	48	364
Oliver Tse Netherlands	8	72 0.9×	72 1.1×	57 1.3×	54 1.5×	43 1.5×	27	305
Shuzi Zhou China	12	41 0.5×	17 0.3×	26 0.6×	18 0.5×	130 4.5×	34	431
Marco Caponigro France	10	171 2.0×	17 0.3×	25 0.6×	46 1.3×	15 0.5×	27	397
Ashish Ashish India	9	139 1.7×	17 0.3×	26 0.6×	79 2.2×	6 0.2×	50	308
Владимир Антонович Зорич Russia	10	24 0.3×	32 0.5×	217 4.9×	50 1.4×	15 0.5×	51	411

Countries citing papers authored by Sui Tang

Since Specialization

Citations

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

Fields of papers citing papers by Sui Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sui Tang

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

All Works

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20 of 20 papers shown

Carrillo, José A., et al.. (2025). Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion. Mathematical Models and Methods in Applied Sciences. 35(5). 1073–1131. 1 indexed citations

Li, Dongyang, et al.. (2025). Random Space-Time Sampling and Reconstruction of Sparse Bandlimited Graph Diffusion Field. Journal of Fourier Analysis and Applications. 31(3).

Needell, Deanna, et al.. (2024). Robust estimation of smooth graph signals from randomized space–time samples. Information and Inference A Journal of the IMA. 13(2). 1 indexed citations

Feng, Jinchao, et al.. (2024). Data-driven model selections of second-order particle dynamics via integrating Gaussian processes with low-dimensional interacting structures. Physica D Nonlinear Phenomena. 461. 134097–134097. 1 indexed citations

Tang, Sui, et al.. (2023). Higher-order error estimates for physics-informed neural networks approximating the primitive equations. Partial Differential Equations and Applications. 4(4). 6 indexed citations

Feng, Jinchao, et al.. (2023). Learning particle swarming models from data with Gaussian processes. Mathematics of Computation. 93(349). 2391–2437. 2 indexed citations

Tang, Sui, et al.. (2023). Learning theory for inferring interaction kernels in second-order interacting agent systems. 21(1). 3 indexed citations

Tang, Sui, et al.. (2023). Space-Time Variable Density Samplings for Sparse Bandlimited Graph Signals Driven by Diffusion Operators. 1–5. 1 indexed citations

Zhang, Yangyi, Sui Tang, & Yu Guo. (2023). An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM. Scientific Reports. 13(1). 6708–6708. 12 indexed citations

10.

Gu, Mengyang, et al.. (2022). Scalable Marginalization of Correlated Latent Variables with Applications to Learning Particle Interaction Kernels. 172–186. 5 indexed citations

11.

Lu, Fei, Mauro Maggioni, & Sui Tang. (2021). Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. arXiv (Cornell University). 22(32). 1–67. 18 indexed citations

12.

Lu, Fei, et al.. (2020). On the identifiability of interaction functions in systems of interacting particles. Stochastic Processes and their Applications. 132. 135–163. 14 indexed citations

13.

Aldroubi, Akram, Ilya Krishtal, & Sui Tang. (2018). Phaseless reconstruction from space–time samples. Applied and Computational Harmonic Analysis. 48(1). 395–414. 6 indexed citations

14.

Lai, Chun‐Kit & Sui Tang. (2018). Undersampled Windowed Exponentials and Their Applications. Acta Applicandae Mathematicae. 164(1). 65–81.

15.

Lai, Chun‐Kit & Sui Tang. (2017). Undersampled windowed exponentials, spectra of Toeplitz operators and its applications. arXiv (Cornell University). 1 indexed citations

16.

Aldroubi, Akram, Ilya Krishtal, & Sui Tang. (2017). Phase retrieval of evolving signals from space-time samples. 46–49. 2 indexed citations

17.

Tang, Sui. (2016). System identification in dynamical sampling. Advances in Computational Mathematics. 43(3). 555–580. 13 indexed citations

18.

Aldroubi, Akram, Carlos Cabrelli, Ursula Molter, & Sui Tang. (2015). Dynamical sampling. Applied and Computational Harmonic Analysis. 42(3). 378–401. 43 indexed citations

19.

Tang, Sui, et al.. (2015). Multidimensional Signal Recovery in Discrete Evolution Systems via Spatiotemporal Trade Off. 14(2). 153–169. 5 indexed citations

20.

Li, Xiaolin, Xueming Li, Sui Tang, et al.. (2014). High selectivity of benzene electrochemical oxidation to p-benzoquinone on modified PbO2 electrode. Applied Surface Science. 311. 357–361. 22 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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