Yuan Yao
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- Wireless Networks and Protocols 7
- IoT and Edge/Fog Computing 6
- Mobile Ad Hoc Networks 6
- Caching and Content Delivery 5
- Artificial Intelligence top 5%
- Information Systems top 5%
- Recommender Systems and Techniques 8
- Automotive Engineering top 10%
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- Vehicular Ad Hoc Networks (VANETs) 11
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- Human Mobility and Location-Based Analysis 7
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- Robotic Path Planning Algorithms 5
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Mobile Computing (4 papers)IEEE Transactions on Vehicular Technology (3 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuan Yao
51 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 453
- Industrial and Manufacturing Engineering 112
- Artificial Intelligence 348
- Information Systems 231
- Automotive Engineering 118
Countries citing papers authored by Yuan Yao
This map shows the geographic impact of Yuan Yao'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 Yuan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Yao more than expected).
Fields of papers citing papers by Yuan Yao
This network shows the impact of papers produced by Yuan Yao. 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 Yuan Yao. The network helps show where Yuan Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuan Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 7 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 139 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 31 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 78 | |
| 17 | 2018 | 6 | |
| 18 | 2016 | 35 | |
| 19 | 2016 | 0 | |
| 20 | Ice-breaking: mitigating cold-start recommendation problem by rating comparison | 2015 | 20 |
About Yuan Yao
Yuan Yao is a scholar working on Computer Networks and Communications, Transportation and Hardware and Architecture, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (11 papers), Recommender Systems and Techniques (8 papers), Wireless Networks and Protocols (7 papers), Human Mobility and Location-Based Analysis (7 papers), IoT and Edge/Fog Computing (6 papers), Mobile Ad Hoc Networks (6 papers), Caching and Content Delivery (5 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Networks and Communications (453 citations), Industrial and Manufacturing Engineering (112 citations) and Artificial Intelligence (348 citations). Yuan Yao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xingshe Zhou, Xue Liu, Lei Rao, Yujiao Hu, Bin Xiao, Zhe Peng, Wee Sun Lee, Kailong Zhang, Yuzhe Tang and Shang Gao. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, Knowledge-Based Systems, IEEE Communications Letters and IEEE Transactions on Parallel and Distributed Systems.
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.