Yunhui Long

765 total citations
9 papers, 133 citations indexed

About

Yunhui Long is a scholar working on Artificial Intelligence, Organic Chemistry and Information Systems. According to data from OpenAlex, Yunhui Long has authored 9 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Organic Chemistry and 2 papers in Information Systems. Recurrent topics in Yunhui Long's work include Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (2 papers). Yunhui Long is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (2 papers). Yunhui Long collaborates with scholars based in United States, China and Switzerland. Yunhui Long's co-authors include Bo Li, Fan Wu, Ce Zhang, Carl A. Gunter, Kai Chen, Haixu Tang, Vincent Bindschaedler, Boxin Wang, Bo Li and Diyue Bu and has published in prestigious journals such as Current Organic Synthesis, arXiv (Cornell University) and Advances in engineering research.

In The Last Decade

Yunhui Long

7 papers receiving 130 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yunhui Long United States	5	122	16	15	12	9	9	133
Rajiv Mathews United States	7	90 0.7×	6 0.4×	12 0.8×	11 0.9×	6 0.7×	13	103
Om Thakkar United States	6	155 1.3×	13 0.8×	13 0.9×	14 1.2×	5 0.6×	14	170
Natalia Ponomareva United States	5	139 1.1×	5 0.3×	12 0.8×	28 2.3×	6 0.7×	21	165
Pedro Saleiro Portugal	8	44 0.4×	7 0.4×	19 1.3×	18 1.5×	12 1.3×	13	87
Roberta Răileanu Israel	4	76 0.6×	20 1.3×	6 0.4×	6 0.5×	3 0.3×	11	114
Kallista Bonawitz United States	3	60 0.5×	10 0.6×	11 0.7×	14 1.2×	3 0.3×	3	75
Vasileios Iosifidis Germany	5	134 1.1×	11 0.7×	11 0.7×	16 1.3×	62 6.9×	7	176
Preethi Lahoti Finland	6	68 0.6×	7 0.4×	13 0.9×	15 1.3×	34 3.8×	7	98
Seth Neel United States	7	92 0.8×	8 0.5×	14 0.9×	9 0.8×	45 5.0×	12	119

Countries citing papers authored by Yunhui Long

Since Specialization

Citations

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

Fields of papers citing papers by Yunhui Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhui Long

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Hu, Yuzheng, Qinbin Li, Yunhui Long, et al.. (2024). SoK: Privacy-Preserving Data Synthesis. 4696–4713. 9 indexed citations

2.

Xie, Chulin, Yunhui Long, Pin‐Yu Chen, et al.. (2023). Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. 1511–1525. 6 indexed citations

3.

Wu, Fan, Yunhui Long, Ce Zhang, & Bo Li. (2022). LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis. 2005–2024. 44 indexed citations

4.

Wang, Boxin, et al.. (2021). DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. arXiv (Cornell University). 2146–2168. 28 indexed citations

5.

Long, Yunhui, Le Xu, & Carl A. Gunter. (2020). A Hypothesis Testing Approach to Sharing Logs with Confidence. 307–318.

6.

Long, Yunhui, Diyue Bu, Vincent Bindschaedler, et al.. (2020). A Pragmatic Approach to Membership Inferences on Machine Learning Models. 521–534. 41 indexed citations

7.

Long, Yunhui, et al.. (2019). Scalable Differentially Private Data Generation via Private Aggregation of Teacher Ensembles. 4 indexed citations

8.

Long, Yunhui, et al.. (2015). Resolution of racemic α-cyclohexyl mandelic acid using chiral micromicroemulsion liquid membrane. Advances in engineering research.

9.

Yu, Jin‐Gang, et al.. (2014). Higher Efficiently Conversion of Heterocyclic Aryl Nitroalkenes to Ketones. Current Organic Synthesis. 11(6). 907–910. 1 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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