This map shows the geographic impact of Ziteng Sun'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 Ziteng Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziteng Sun more than expected).
This network shows the impact of papers produced by Ziteng Sun. 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 Ziteng Sun. The network helps show where Ziteng Sun may publish in the future.
Co-authorship network of co-authors of Ziteng Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Ziteng Sun.
A scholar is included among the top collaborators of Ziteng Sun 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 Ziteng Sun. Ziteng Sun is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Acharya, Jayadev, Keith Bonawitz, Peter Kairouz, Daniel Ramage, & Ziteng Sun. (2020). Context Aware Local Differential Privacy. International Conference on Machine Learning. 1. 52–62.1 indexed citations
8.
Acharya, Jayadev, Gautam Kamath, Ziteng Sun, & Huanyu Zhang. (2020). INSPECTRE: Privately Estimating the Unseen. SHILAP Revista de lepidopterología. 10(2). 30–39.1 indexed citations
9.
Acharya, Jayadev, Ziteng Sun, & Huanyu Zhang. (2019). Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. International Conference on Artificial Intelligence and Statistics. 1120–1129.13 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.