Yongxin Tong

11.7k total citations · 1 hit paper
121 papers, 7.0k citations indexed

About

Yongxin Tong is a scholar working on Artificial Intelligence, Computer Science Applications and Signal Processing. According to data from OpenAlex, Yongxin Tong has authored 121 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 32 papers in Computer Science Applications and 26 papers in Signal Processing. Recurrent topics in Yongxin Tong's work include Privacy-Preserving Technologies in Data (33 papers), Mobile Crowdsensing and Crowdsourcing (32 papers) and Data Management and Algorithms (23 papers). Yongxin Tong is often cited by papers focused on Privacy-Preserving Technologies in Data (33 papers), Mobile Crowdsensing and Crowdsourcing (32 papers) and Data Management and Algorithms (23 papers). Yongxin Tong collaborates with scholars based in China, Hong Kong and United States. Yongxin Tong's co-authors include Qiang Yang, Yang Liu, Tianjian Chen, Lei Chen, Zimu Zhou, Jieying She, Yuxiang Zeng, Libin Wang, Caleb Chen Cao and Tianshu Song and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Information Fusion.

In The Last Decade

Yongxin Tong

109 papers receiving 6.8k citations

Hit Papers

Federated Machine Learning 2019 2026 2021 2023 2019 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Federated Machine Learning
    2019 3.4k citations Qiang Yang, Yongxin Tong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongxin Tong China 36 4.2k 2.0k 1.4k 1.1k 962 121 7.0k
Kai Zheng China 46 2.2k 0.5× 661 0.3× 1.8k 1.3× 1.8k 1.6× 1.8k 1.8× 357 7.0k
Chi Harold Liu China 43 2.1k 0.5× 1.2k 0.6× 2.9k 2.1× 936 0.8× 575 0.6× 172 6.8k
Dejun Yang United States 35 1.8k 0.4× 2.3k 1.2× 2.5k 1.7× 949 0.9× 880 0.9× 135 7.1k
Fan Wu China 40 1.6k 0.4× 1.3k 0.6× 2.2k 1.6× 1.1k 1.0× 439 0.5× 331 5.6k
Burak Kantarcı Canada 39 1.8k 0.4× 1.2k 0.6× 2.8k 2.0× 1.2k 1.1× 707 0.7× 295 6.1k
Ju Ren China 55 2.9k 0.7× 892 0.5× 4.8k 3.4× 2.4k 2.2× 422 0.4× 242 9.0k
Guihai Chen China 53 2.2k 0.5× 1.4k 0.7× 7.2k 5.1× 2.3k 2.1× 578 0.6× 750 12.8k
Hadi Otrok United Arab Emirates 33 1.5k 0.4× 566 0.3× 2.3k 1.6× 1.2k 1.1× 244 0.3× 225 4.4k
Jiawen Kang China 52 4.7k 1.1× 702 0.4× 4.9k 3.5× 4.6k 4.1× 235 0.2× 366 12.8k
Shaojie Tang United States 41 1.3k 0.3× 924 0.5× 3.8k 2.7× 916 0.8× 502 0.5× 329 7.3k

Countries citing papers authored by Yongxin Tong

Since Specialization
Citations

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

Fields of papers citing papers by Yongxin Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongxin Tong

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

All Works

20 of 20 papers shown
1.
Tong, Yongxin, et al.. (2024). Current progress, opportunities and challenges of developing green disinfectants for the remediation of disinfectant emerging contaminants. Sustainable Chemistry and Pharmacy. 42. 101775–101775. 3 indexed citations
2.
3.
Qu, Liang, et al.. (2024). HeteFedRec: Federated Recommender Systems with Model Heterogeneity. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1324–1337. 11 indexed citations
4.
Liu, Zeyu, et al.. (2024). Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. 939–952. 1 indexed citations
5.
Wang, Yu-Xiang, et al.. (2024). Efficient and Private Federated Trajectory Matching. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8079–8092. 1 indexed citations
6.
Zeng, Yuxiang, et al.. (2024). An Experimental Study on Federated Equi-Joins. IEEE Transactions on Knowledge and Data Engineering. 36(9). 4443–4457. 4 indexed citations
7.
Wang, Yansheng, Yongxin Tong, Zimu Zhou, et al.. (2023). Distribution-Regularized Federated Learning on Non-IID Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2113–2125. 11 indexed citations
8.
Tong, Yongxin, et al.. (2023). Knowledge, attitudes and practice regarding environmental friendly disinfectants for household use among residents of China in the post-pandemic period. Frontiers in Public Health. 11. 1161339–1161339. 7 indexed citations
9.
Shi, Dingyuan, et al.. (2023). Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. 8098. 869–881. 2 indexed citations
10.
Li, Shuyuan, et al.. (2022). A Secure Multi-party Data Federation System. 12(1). 107–129.
11.
Wang, Yansheng, Yongxin Tong, Dingyuan Shi, & Ke Xu. (2021). An Efficient Approach for Cross-Silo Federated Learning to Rank. 1128–1139. 23 indexed citations
12.
Qian, Tao, Yongxin Tong, Zimu Zhou, et al.. (2020). Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 517–528. 50 indexed citations
13.
Xu, Yi, et al.. (2020). An Efficient Insertion Operator in Dynamic Ridesharing Services. IEEE Transactions on Knowledge and Data Engineering. 34(8). 3583–3596. 27 indexed citations
14.
Wang, Yansheng, Yongxin Tong, & Dingyuan Shi. (2020). Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6283–6290. 81 indexed citations
15.
Wang, Libin, et al.. (2019). Procrastination-Aware Scheduling: A Bipartite Graph Perspective. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1650–1653.
16.
Wang, Yansheng, Tianshu Song, Tao Qian, et al.. (2019). Interaction Management in Crowdsourcing.. IEEE Data(base) Engineering Bulletin. 42. 23–34.
17.
Song, Tianshu, Yongxin Tong, Libin Wang, et al.. (2017). Trichromatic Online Matching in Real-Time Spatial Crowdsourcing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1009–1020. 85 indexed citations
18.
She, Jieying, Yongxin Tong, Lei Chen, & Caleb Chen Cao. (2015). Conflict-aware event-participant arrangement. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 735–746. 39 indexed citations
19.
Tong, Yongxin, Lei Chen, & Jieying She. (2015). Mining Frequent Itemsets in Correlated Uncertain Databases. Journal of Computer Science and Technology. 30(4). 696–712. 14 indexed citations
20.
Tong, Yongxin, Caleb Chen Cao, Chen Zhang, Yatao Li, & Lei Chen. (2014). CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1182–1185. 38 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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