Quan Geng

898 total citations
13 papers, 376 citations indexed

About

Quan Geng is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Science Applications. According to data from OpenAlex, Quan Geng has authored 13 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Computer Science Applications. Recurrent topics in Quan Geng's work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Quan Geng is often cited by papers focused on Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Quan Geng collaborates with scholars based in United States, China and Israel. Quan Geng's co-authors include Pramod Viswanath, Peter Kairouz, Sewoong Oh, John Wright, Sanjiv Kumar, Ruiqi Guo, Wei Ding, Xia Zhang, Shanli Guo and Haibo Yin and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and Applied Biochemistry and Biotechnology.

In The Last Decade

Quan Geng

12 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Geng United States 8 323 96 72 68 41 13 376
Salman Salamatian United States 7 208 0.6× 30 0.3× 35 0.5× 104 1.5× 55 1.3× 15 276
Geetha Jagannathan United States 7 428 1.3× 39 0.4× 75 1.0× 23 0.3× 43 1.0× 11 485
Peva Blanchard Switzerland 3 547 1.7× 27 0.3× 22 0.3× 48 0.7× 117 2.9× 5 592
Julien Stainer Switzerland 4 552 1.7× 27 0.3× 23 0.3× 49 0.7× 135 3.3× 8 608
Anit Kumar Sahu United States 9 240 0.7× 32 0.3× 13 0.2× 40 0.6× 81 2.0× 28 309
Entong Shen United States 6 295 0.9× 97 1.0× 82 1.1× 55 0.8× 91 2.2× 8 376
Sai Praneeth Karimireddy Switzerland 8 273 0.8× 30 0.3× 9 0.1× 38 0.6× 66 1.6× 19 301
Konstantinos Chatzikokolakis France 11 381 1.2× 63 0.7× 88 1.2× 87 1.3× 133 3.2× 30 459
Briland Hitaj United States 3 751 2.3× 70 0.7× 70 1.0× 60 0.9× 69 1.7× 5 809
Abdallah M’Hamed France 6 68 0.2× 155 1.6× 18 0.3× 102 1.5× 65 1.6× 12 274

Countries citing papers authored by Quan Geng

Since Specialization
Citations

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

Fields of papers citing papers by Quan Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Geng

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

All Works

13 of 13 papers shown
1.
Guo, Ruiqi, et al.. (2020). Accelerating Large-Scale Inference with Anisotropic Vector Quantization. International Conference on Machine Learning. 1. 3887–3896. 22 indexed citations
2.
Geng, Quan, Wei Ding, Ruiqi Guo, & Sanjiv Kumar. (2020). Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy.. International Conference on Artificial Intelligence and Statistics. 89–99. 11 indexed citations
3.
Guo, Ruiqi, et al.. (2019). New Loss Functions for Fast Maximum Inner Product Search. arXiv (Cornell University). 1 indexed citations
4.
Zhang, Xia, Quan Geng, Jing Wang, et al.. (2015). Functional Validation of Phragmites communis Glutathione Reductase (PhaGR) as an Essential Enzyme in Salt Tolerance. Applied Biochemistry and Biotechnology. 175(7). 3418–3430. 4 indexed citations
5.
Geng, Quan & Pramod Viswanath. (2015). The Optimal Noise-Adding Mechanism in Differential Privacy. IEEE Transactions on Information Theory. 62(2). 925–951. 107 indexed citations
6.
Geng, Quan, Peter Kairouz, Sewoong Oh, & Pramod Viswanath. (2015). The Staircase Mechanism in Differential Privacy. IEEE Journal of Selected Topics in Signal Processing. 9(7). 1176–1184. 87 indexed citations
7.
Geng, Quan & Pramod Viswanath. (2015). Optimal Noise Adding Mechanisms for Approximate Differential Privacy. IEEE Transactions on Information Theory. 62(2). 952–969. 58 indexed citations
8.
Geng, Quan & Pramod Viswanath. (2014). The optimal mechanism in differential privacy. 2371–2375. 55 indexed citations
9.
Geng, Quan, et al.. (2014). Interactive Interference Alignment. IEEE Journal on Selected Areas in Communications. 32(9). 1699–1706. 3 indexed citations
10.
Geng, Quan & John Wright. (2014). On the local correctness of &#x2113;<sup>1</sup>-minimization for dictionary learning. 3180–3184. 17 indexed citations
11.
Geng, Quan & Pramod Viswanath. (2013). The Optimal Mechanism in $(\epsilon,\delta)$-Differential Privacy. arXiv (Cornell University). 1 indexed citations
12.
Geng, Quan, et al.. (2013). Interactive interference alignment. 54. 31–35. 7 indexed citations
13.
Geng, Quan & Pramod Viswanath. (2012). Optimal Noise-Adding Mechanism in Differential Privacy. arXiv (Cornell University). 3 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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