Yexuan Shi

492 total citations
16 papers, 300 citations indexed

About

Yexuan Shi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Automotive Engineering. According to data from OpenAlex, Yexuan Shi has authored 16 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Automotive Engineering. Recurrent topics in Yexuan Shi's work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (6 papers) and Transportation and Mobility Innovations (4 papers). Yexuan Shi is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (6 papers) and Transportation and Mobility Innovations (4 papers). Yexuan Shi collaborates with scholars based in China, Hong Kong and Singapore. Yexuan Shi's co-authors include Yongxin Tong, Zimu Zhou, Tao Qian, Ke Xu, Yi Xu, Yuxiang Zeng, Lei Chen, Pan Xu, Yi Zhang and Zhiming Zheng and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and IEEE Intelligent Systems.

In The Last Decade

Yexuan Shi

15 papers receiving 298 citations

Peers

Countries citing papers authored by Yexuan Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yexuan Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yexuan Shi

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	FedSQ: A Secure System for Federated Vector Similarity Queries 2024 ·Proceedings of the VLDB Endowment ·Zhenfeng Zhu, Zhimin Fan, Yuxiang Zeng, Yexuan Shi, Yi Xu, Mengmeng Zhou, (unknown)	4
2	CASA: Clustered Federated Learning with Asynchronous Clients 2024 ·(unknown), (unknown), Zimu Zhou, Yexuan Shi, (unknown), Yongxin Tong	0
3	A survey on federated learning: a perspective from multi-party computation 2023 ·Frontiers of Computer Science ·(unknown), Zhiming Zheng, Yexuan Shi, Yongxin Tong, Yi Zhang	33
4	Secure Multi-party θ-join Algorithms Toward Data Federation 2023 ·Yuanyuan Zhang, (unknown), Yexuan Shi, (unknown), Yi Xu, (unknown)	1
5	Hu-fu 2022 ·Proceedings of the VLDB Endowment ·(unknown), Yongxin Tong, (unknown), Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, (unknown), Weifeng Lv	9
6	Efficient and Secure Skyline Queries Over Vertical Data Federation 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Yuanyuan Zhang, Yexuan Shi, Zimu Zhou, (unknown), Yi Xu, Ke Xu, Junping Du	12
7	Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract) 2022 ·2022 IEEE 38th International Conference on Data Engineering (ICDE) ·Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen	2
8	Hu-Fu 2022 ·Proceedings of the VLDB Endowment ·Yongxin Tong, (unknown), Yuxiang Zeng, Yexuan Shi, (unknown), Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, (unknown), Weifeng Lv	26
9	Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation 2021 ·IEEE Transactions on Knowledge and Data Engineering ·Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen	16
10	Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach 2020 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Tao Qian, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu	50
11	An Efficient Insertion Operator in Dynamic Ridesharing Services 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Yi Xu, Yongxin Tong, Yexuan Shi, Tao Qian, Ke Xu, (unknown)	27
12	Federated Topic Discovery: A Semantic Consistent Approach 2020 ·IEEE Intelligent Systems ·Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang	8
13	A Unified Approach to Online Matching with Conflict-Aware Constraints 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Pan Xu, Yexuan Shi, (unknown), John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, (unknown)	12
14	Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng	55
15	Interaction-Aware Arrangement for Event-Based Social Networks 2019 ·Repository for Publications and Research Data (ETH Zurich) ·Feifei Kou, Zimu Zhou, (unknown), Junping Du, Yexuan Shi, Pan Xu	7
16	An Efficient Insertion Operator in Dynamic Ridesharing Services 2019 ·Yi Xu, Yongxin Tong, Yexuan Shi, Tao Qian, Ke Xu, (unknown)	38

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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