Tianhao Wang

2.9k total citations
91 papers, 1.5k citations indexed

About

Tianhao Wang is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Tianhao Wang has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 11 papers in Sociology and Political Science and 8 papers in Information Systems. Recurrent topics in Tianhao Wang's work include Privacy-Preserving Technologies in Data (38 papers), Cryptography and Data Security (26 papers) and Adversarial Robustness in Machine Learning (12 papers). Tianhao Wang is often cited by papers focused on Privacy-Preserving Technologies in Data (38 papers), Cryptography and Data Security (26 papers) and Adversarial Robustness in Machine Learning (12 papers). Tianhao Wang collaborates with scholars based in United States, China and Germany. Tianhao Wang's co-authors include Somesh Jha, Ninghui Li, Ninghui Li, Jeremiah Blocki, Florian Kerschbaum, Zhikun Zhang, Graham Cormode, Divesh Srivastava, Tejas Kulkarni and Zitao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Express.

In The Last Decade

Tianhao Wang

82 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianhao Wang United States 20 1.1k 320 253 125 123 91 1.5k
Guy N. Rothblum United States 19 1.8k 1.6× 260 0.8× 263 1.0× 154 1.2× 168 1.4× 50 2.1k
Sofya Raskhodnikova United States 15 1.6k 1.5× 428 1.3× 305 1.2× 126 1.0× 237 1.9× 52 1.8k
Per Austrin Sweden 12 808 0.7× 220 0.7× 207 0.8× 85 0.7× 133 1.1× 33 1.1k
Michael Hay United States 21 2.1k 1.9× 832 2.6× 421 1.7× 144 1.2× 175 1.4× 37 2.3k
Houping Xiao United States 17 730 0.6× 114 0.4× 525 2.1× 113 0.9× 91 0.7× 37 1.0k
Souptik Datta United States 7 648 0.6× 136 0.4× 61 0.2× 55 0.4× 262 2.1× 12 856
Irit Dinur Israel 23 1.1k 1.0× 185 0.6× 66 0.3× 102 0.8× 493 4.0× 80 2.6k
Alessandra Sala Italy 19 564 0.5× 308 1.0× 49 0.2× 43 0.3× 612 5.0× 72 1.9k
Grigorios Loukides United Kingdom 18 780 0.7× 337 1.1× 51 0.2× 34 0.3× 38 0.3× 59 1.0k

Countries citing papers authored by Tianhao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianhao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianhao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianhao Wang. A scholar is included among the top collaborators of Tianhao 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 Tianhao Wang. Tianhao 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.
Ye, Yutong, Tianhao Wang, Min Zhang, & Dengguo Feng. (2025). Revisiting EM-based Estimation for Locally Differentially Private Protocols.
3.
Wang, Tianhao, et al.. (2025). Uncertainty quantification on the leakage and dynamic characteristics of a straight-through labyrinth seal. Tribology International. 214. 111188–111188.
4.
Liu, Zihao, Tianhao Wang, Mengdi Huai, & Chenglin Miao. (2024). Backdoor Attacks via Machine Unlearning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14115–14123. 8 indexed citations
5.
Zhou, Yang, Junpei Zhang, Tianhao Wang, et al.. (2024). First use of a polarized 3He neutron spin filter on the Back-n White Neutron Source of CSNS. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1072. 170184–170184. 1 indexed citations
6.
Sun, Danyu, et al.. (2024). N et DPS yn : Synthesizing Network Traces under Differential Privacy. 545–554. 1 indexed citations
7.
Du, Minxin, et al.. (2024). Machine Unlearning of Pre-trained Large Language Models. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 8403–8419. 6 indexed citations
8.
Wang, Tianhao, et al.. (2024). Approximate message passing for orthogonally invariant ensembles: multivariate non-linearities and spectral initialization. Information and Inference A Journal of the IMA. 13(3). 4 indexed citations
9.
Tian, Long, Junpei Zhang, Fan Ye, et al.. (2023). Development of polarized neutron techniques at the China Spallation Neutron Source. Journal of Physics Conference Series. 2481(1). 12008–12008. 2 indexed citations
10.
Chen, Wenzhi, et al.. (2023). Securely Sampling Discrete Gaussian Noise for Multi-Party Differential Privacy. 2262–2276. 1 indexed citations
11.
Du, Minxin, Xiang Yue, Sherman S. M. Chow, et al.. (2023). DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. arXiv (Cornell University). 2665–2679. 17 indexed citations
12.
13.
14.
Mireshghallah, Fatemehsadat, et al.. (2022). An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. 1816–1826. 23 indexed citations
15.
Wang, Tianhao, Zhikun Zhang, Dong Su, et al.. (2021). Continuous Release of Data Streams under both Centralized and Local Differential Privacy. 1237–1253. 37 indexed citations
16.
Wang, Tianhao, Min Xu, Bolin Ding, et al.. (2019). Practical and Robust Privacy Amplification with Multi-Party Differential Privacy.. arXiv (Cornell University). 3 indexed citations
17.
Wang, Tianhao, et al.. (2019). Consistent and accurate frequency oracles under local differential privacy. arXiv (Cornell University). 9 indexed citations
18.
Xu, Pan, Tianhao Wang, & Quanquan Gu. (2018). Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms.. International Conference on Artificial Intelligence and Statistics. 1087–1096. 2 indexed citations
19.
Xu, Pan, Tianhao Wang, & Quanquan Gu. (2018). Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions. International Conference on Machine Learning. 5492–5501. 5 indexed citations
20.
Wang, Tianhao, Jeremiah Blocki, Ninghui Li, & Somesh Jha. (2017). Locally Differentially Private Protocols for Frequency Estimation. USENIX Security Symposium. 729–745. 162 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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