Yongxin Tong
Impact in
- Computer Science Applications top 0.05%
- Mobile Crowdsensing and Crowdsourcing
- Transportation top 0.2%
- Human Mobility and Location-Based Analysis
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 36
-
- Privacy-Preserving Technologies in Data 41
- Co-authors
- Qiang Yang (5 shared papers)Tianjian Chen (1 shared paper)Yang Liu (1 shared paper)Lei Chen (56 shared papers)Zimu Zhou (47 shared papers)Jieying She (15 shared papers)Yuxiang Zeng (26 shared papers)Tianshu Song (10 shared papers)
- Journals
- Proceedings of the VLDB Endowment (14 papers)IEEE Transactions on Knowledge and Data Engineering (13 papers)Frontiers of Computer Science (3 papers)ACM Transactions on Intelligent Systems and Technology (3 papers)GeoInformatica (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yongxin Tong
127 papers receiving 8.7k citations
Yongxin Tong's Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Science Applications 2.4k
- Transportation 1.1k
- Artificial Intelligence 5.1k
- Health Informatics 162
- Automotive Engineering 957
Countries citing papers authored by Yongxin Tong
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
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-authors
The 25 scholars most cited alongside Yongxin Tong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated Machine Learning Hit paper breakdown → | 2019 | 4235 |
| 2 | Online mobile Micro-Task Allocation in spatial crowdsourcing Hit paper breakdown → | 2016 | 270 |
| 3 | 2017 | 242 | |
| 4 | 2019 | 238 | |
| 5 | 2019 | 178 | |
| 6 | 2016 | 172 | |
| 7 | 2018 | 153 | |
| 8 | 2012 | 138 | |
| 9 | 2017 | 135 | |
| 10 | 2012 | 125 | |
| 11 | 2014 | 113 | |
| 12 | 2017 | 98 | |
| 13 | 2020 | 95 | |
| 14 | 2017 | 94 | |
| 15 | 2018 | 90 | |
| 16 | 2018 | 89 | |
| 17 | 2019 | 79 | |
| 18 | 2015 | 77 | |
| 19 | 2019 | 72 | |
| 20 | 2016 | 72 |
About Yongxin Tong
Yongxin Tong is a scholar working on Computer Science Applications, Artificial Intelligence, Transportation, Signal Processing and Management Science and Operations Research, having authored 138 papers that have together received 8.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (41 papers), Mobile Crowdsensing and Crowdsourcing (36 papers), Data Management and Algorithms (25 papers), Transportation and Mobility Innovations (22 papers), Human Mobility and Location-Based Analysis (20 papers), Optimization and Search Problems (15 papers), Auction Theory and Applications (13 papers) and Traffic Prediction and Management Techniques (12 papers). The work is most often cited by research in Computer Science Applications (2.4k citations), Transportation (1.1k citations), Artificial Intelligence (5.1k citations), Health Informatics (162 citations) and Automotive Engineering (957 citations). Yongxin Tong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qiang Yang, Tianjian Chen, Yang Liu, Lei Chen, Zimu Zhou, Jieying She, Yuxiang Zeng, Tianshu Song, Libin Wang and Caleb Chen Cao. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Frontiers of Computer Science, ACM Transactions on Intelligent Systems and Technology and GeoInformatica.
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.