Shuji Hao
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- Context-Aware Activity Recognition Systems 2
- Human-Computer Interaction top 5%
- Artificial Intelligence top 2%
- Machine Learning and Algorithms 5
- Data Stream Mining Techniques 4
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Data Classification 2
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- IoT and Edge/Fog Computing 2
- Transportation top 5%
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- Sparse and Compressive Sensing Techniques 2
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- Mobile Crowdsensing and Crowdsourcing 2
In The Last Decade
Shuji Hao
11 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 998
- Human-Computer Interaction 110
- Artificial Intelligence 511
- Computer Networks and Communications 338
- Transportation 89
Countries citing papers authored by Shuji Hao
This map shows the geographic impact of Shuji Hao'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 Shuji Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuji Hao more than expected).
Fields of papers citing papers by Shuji Hao
This network shows the impact of papers produced by Shuji Hao. 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 Shuji Hao. The network helps show where Shuji Hao may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Shuji Hao, 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 | 0 | |
| 2 | An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks | 2018 | 4 |
| 3 | Deep learning for sensor-based activity recognition: A surveybreakdown → | 2018 | 1380 |
| 4 | 2018 | 11 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 16 | |
| 8 | 2017 | 8 | |
| 9 | 2016 | 4 | |
| 10 | 2016 | 11 | |
| 11 | 2015 | 8 | |
| 12 | 2015 | 6 |
About Shuji Hao
Shuji Hao is a scholar working on Computer Science Applications, Artificial Intelligence and Management Science and Operations Research, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (5 papers), Data Stream Mining Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Sparse and Compressive Sensing Techniques (2 papers), IoT and Edge/Fog Computing (2 papers), Context-Aware Activity Recognition Systems (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (998 citations), Human-Computer Interaction (110 citations) and Artificial Intelligence (511 citations). Shuji Hao has collaborated with scholars based in Singapore and China. Frequent co-authors include Jindong Wang, Xiaohui Peng, Lisha Hu, Yiqiang Chen, Chunyan Miao, Peilin Zhao, Steven C. H. Hoi, Wei Wang, Bu‐Sung Lee and Jing Lu.
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.