Tianhao Wang
- Artificial Intelligence top 1%
- Sociology and Political Science top 5%
- Computer Science Applications top 1%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Somesh JhaNinghui LiJeremiah BlockiFlorian KerschbaumZhikun ZhangGraham CormodeTejas KulkarniDivesh Srivastava
- Topics
- Privacy-Preserving Technologies in Data (38 papers)Cryptography and Data Security (26 papers)Adversarial Robustness in Machine Learning (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEOptics Express
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Tianhao Wang
82 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 1.1k
- Sociology and Political Science 320
- Computer Science Applications 253
- Electrical and Electronic Engineering 125
- Computer Networks and Communications 123
Countries citing papers authored by Tianhao Wang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. | 3 |
| 17 | Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions | 5 |
| 18 | Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms. | 2 |
| 19 | 13 | |
| 20 | Locally Differentially Private Protocols for Frequency Estimation | 162 |
About Tianhao Wang
Tianhao Wang is a scholar working on Artificial Intelligence, Computer Science Applications and Health Informatics, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (38 papers), Cryptography and Data Security (26 papers) and Adversarial Robustness in Machine Learning (12 papers). The work is most often cited by research in Computer Science Applications (253 citations), Artificial Intelligence (1.1k citations) and Transportation (89 citations). Tianhao Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Somesh Jha, Ninghui Li, Ninghui Li, Jeremiah Blocki, Florian Kerschbaum, Zhikun Zhang, Graham Cormode, Tejas Kulkarni, Divesh Srivastava and Zitao Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Express.
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.