Shuochao Yao
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- Context-Aware Activity Recognition Systems 11
- Advanced Neural Network Applications 5
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- Mobile Crowdsensing and Crowdsourcing 9
- Signal Processing top 2%
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- IoT and Edge/Fog Computing 9
- Human-Computer Interaction top 5%
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- Complex Network Analysis Techniques 11
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- Indoor and Outdoor Localization Technologies 10
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- Data-Driven Disease Surveillance 4
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- Human Mobility and Location-Based Analysis 4
Shuochao Yao
54 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 789
- Computer Science Applications 163
- Signal Processing 270
- Computer Networks and Communications 529
- Human-Computer Interaction 120
Countries citing papers authored by Shuochao Yao
This map shows the geographic impact of Shuochao 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 Shuochao Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuochao Yao more than expected).
Fields of papers citing papers by Shuochao Yao
This network shows the impact of papers produced by Shuochao 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 Shuochao Yao. The network helps show where Shuochao Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuochao 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 | 2024 | 0 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 50 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 39 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 12 | |
| 17 | 2017 | 2 | |
| 18 | DeepSensebreakdown → | 2017 | 463 |
| 19 | 2017 | 143 | |
| 20 | 2017 | 19 |
About Shuochao Yao
Shuochao Yao is a scholar working on Computer Science Applications, Transportation, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Complex Network Analysis Techniques (11 papers), Indoor and Outdoor Localization Technologies (10 papers), IoT and Edge/Fog Computing (9 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Advanced Neural Network Applications (5 papers), Data-Driven Disease Surveillance (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (789 citations), Computer Science Applications (163 citations), Signal Processing (270 citations), Computer Networks and Communications (529 citations) and Human-Computer Interaction (120 citations). Shuochao Yao has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Tarek Abdelzaher, Yiran Zhao, Aston Zhang, Shaohan Hu, Lü Su, Huajie Shao, Chenglin Miao, Wenjun Jiang, Ye Yuan and Hongfei Xue. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, The journal of nutrition health & aging, Proceedings of the VLDB Endowment, IEEE Transactions on Wireless Communications and Learning Health 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.