Tengyao Wang

2.2k total citations
55 papers, 1.3k citations indexed

About

Tengyao Wang is a scholar working on Electrical and Electronic Engineering, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Tengyao Wang has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 10 papers in Statistics and Probability and 5 papers in Molecular Biology. Recurrent topics in Tengyao Wang's work include Statistical Methods and Inference (9 papers), Optical Network Technologies (8 papers) and Sparse and Compressive Sensing Techniques (5 papers). Tengyao Wang is often cited by papers focused on Statistical Methods and Inference (9 papers), Optical Network Technologies (8 papers) and Sparse and Compressive Sensing Techniques (5 papers). Tengyao Wang collaborates with scholars based in United Kingdom, China and United States. Tengyao Wang's co-authors include Richard J. Samworth, Yi Yu, Weili Dai, Xubiao Luo, Hu Xu, Jian‐Ping Zou, Guanyu Wang, Kwang‐Leong Choy, Tom Fearn and Juanjuan Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Molecular Cell.

In The Last Decade

Tengyao Wang

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tengyao Wang United Kingdom 19 344 286 283 217 144 55 1.3k
Martin Robinson United Kingdom 20 118 0.3× 89 0.3× 355 1.3× 15 0.1× 152 1.1× 44 1.2k
Maria Longobardi Italy 20 33 0.1× 302 1.1× 196 0.7× 647 3.0× 36 0.3× 60 1.5k
Miao-Kun Wang China 32 107 0.3× 91 0.3× 87 0.3× 177 0.8× 14 0.1× 88 2.8k
Juan Wang China 18 43 0.1× 505 1.8× 489 1.7× 28 0.1× 80 0.6× 108 1.6k
Zuowei Zhang China 17 49 0.1× 85 0.3× 104 0.4× 18 0.1× 83 0.6× 92 953
Miaomiao Wang China 20 112 0.3× 150 0.5× 157 0.6× 10 0.0× 108 0.8× 132 1.2k
Ray‐Bing Chen Taiwan 16 43 0.1× 63 0.2× 68 0.2× 111 0.5× 56 0.4× 98 832
Huan Su China 27 264 0.8× 257 0.9× 313 1.1× 9 0.0× 223 1.5× 127 2.3k
Junwei Xie China 23 120 0.3× 169 0.6× 223 0.8× 12 0.1× 20 0.1× 115 1.4k
Joel A. Paulson United States 25 101 0.3× 196 0.7× 356 1.3× 6 0.0× 99 0.7× 95 1.8k

Countries citing papers authored by Tengyao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tengyao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tengyao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tengyao Wang. A scholar is included among the top collaborators of Tengyao Wang 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 Tengyao Wang. Tengyao Wang 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.
Wang, Tengyao, et al.. (2025). Residual permutation test for regression coefficient testing. The Annals of Statistics. 53(2).
2.
Wang, Tengyao, Zhao Chen, Fan Yang, & Hao Wang. (2024). Fast Incremental Scheduling Method for In-Vehicle Time Sensitive Network Based on Preemption. 195–201.
3.
Fearnhead, Paul, et al.. (2024). Automatic change-point detection in time series via deep learning. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(2). 273–285. 10 indexed citations
4.
Wang, Tengyao, et al.. (2023). Inference in High-Dimensional Online Changepoint Detection. Journal of the American Statistical Association. 119(546). 1461–1472. 3 indexed citations
5.
Wu, Qianxin, Junjing Wu, Xi Chen, et al.. (2023). Massively parallel characterization of CRISPR activator efficacy in human induced pluripotent stem cells and neurons. Molecular Cell. 83(7). 1125–1139.e8. 17 indexed citations
6.
Zhu, Ziwei, Tengyao Wang, & Richard J. Samworth. (2022). High-Dimensional Principal Component Analysis with Heterogeneous Missingness. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(5). 2000–2031. 19 indexed citations
7.
Liu, Chenshu, Zhongyu Zhang, Kan Huang, et al.. (2022). Progress in the Preclinical and Clinical Study of Resveratrol for Vascular Metabolic Disease. Molecules. 27(21). 7524–7524. 22 indexed citations
8.
Wang, Tengyao, et al.. (2022). High-dimensional Changepoint Estimation with Heterogeneous Missingness. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(3). 1023–1055. 7 indexed citations
9.
Peng, Jiangyun, et al.. (2022). Counter-regulatory renin-angiotensin system in hypertension: Review and update in the era of COVID-19 pandemic. Biochemical Pharmacology. 208. 115370–115370. 11 indexed citations
10.
Wang, Tengyao, et al.. (2022). High-Dimensional, Multiscale Online Changepoint Detection. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(1). 234–266. 23 indexed citations
11.
Chen, Cathy Yi‐Hsuan, Yarema Okhrin, & Tengyao Wang. (2021). Monitoring Network Changes in Social Media. SSRN Electronic Journal. 3 indexed citations
12.
Mitchell, Piers D., Richard Brown, Tengyao Wang, et al.. (2019). Multicentre study of physical abuse and limb fractures in young children in the East Anglia Region, UK. Archives of Disease in Childhood. 104(10). 956–961. 3 indexed citations
13.
Wang, Tengyao, et al.. (2019). Isotonic regression in general dimensions. The Annals of Statistics. 47(5). 32 indexed citations
14.
Wang, Tengyao, Ehsan Ghorani, Simon Harper, et al.. (2019). A rational approach to postoperative surveillance for resected non-functional pancreatic neuro-endocrine tumours. Pancreatology. 19(7). 1000–1007. 3 indexed citations
15.
Wang, Tengyao, Quentin Berthet, & Yaniv Plan. (2016). Average-case hardness of RIP certification. UCL Discovery (University College London). 29. 3819–3827. 5 indexed citations
16.
Gao, Qi, Shuhui Zheng, Shiyang Pan, et al.. (2012). 17 -estradiol induces vasorelaxation by stimulating endothelial hydrogen sulfide release. Molecular Human Reproduction. 19(3). 169–176. 39 indexed citations
17.
Gao, Xiaojie, Tengyao Wang, Tianqi Yang, et al.. (2011). Toxoplasma gondiiinfection in pregnant women in China. Parasitology. 139(2). 139–147. 53 indexed citations
18.
Cvijetic, Neda, et al.. (2010). Recent advances in ultra high-speed OFDMA-PON. 432–433. 1 indexed citations
19.
Ip, Ezra, Ming-Fang Huang, Yin Shao, et al.. (2010). 10×456-Gb/s DP-16QAM transmission over 8×100 km of ULAF using coherent detection with a 30-GHz analog-to-digital converter. 1–2. 26 indexed citations
20.
Mu, Panwei, Zhi Tan, Yuhong Cui, et al.. (2010). 17β-Estradiol attenuates diet-induced insulin resistance and glucose intolerance through up-regulation of caveolin-3. Irish Journal of Medical Science (1971 -). 180(1). 221–227. 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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