Han Yu
Impact in
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 0.2%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Domain Adaptation and Few-Shot Learning
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
Papers in
-
- Privacy-Preserving Technologies in Data 96
- Cryptography and Data Security 25
- Stochastic Gradient Optimization Techniques 17
- Advanced Graph Neural Networks 16
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- Recommender Systems and Techniques 20
- Blockchain Technology Applications and Security 18
- Co-authors
- Chunyan Miao (77 shared papers)Qiang Yang (35 shared papers)Cyril Leung (33 shared papers)Zhiqi Shen (52 shared papers)Yiqiang Chen (16 shared papers)Lingjuan Lyu (5 shared papers)Tianjian Chen (15 shared papers)Yang Liu (22 shared papers)
In The Last Decade
Han Yu
361 papers receiving 8.2k citations
Han Yu's Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Science Applications 1.1k
- Artificial Intelligence 4.5k
- Health Informatics 135
- Information Systems 1.3k
- Computer Networks and Communications 1.1k
Countries citing papers authored by Han Yu
This map shows the geographic impact of Han Yu'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 Han Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Yu more than expected).
Fields of papers citing papers by Han Yu
This network shows the impact of papers produced by Han Yu. 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 Han Yu. The network helps show where Han Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Yu, 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 401 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Visual Domain Adaptation with Manifold Embedded Distribution Alignment Hit paper breakdown → | 2018 | 481 |
| 2 | A Survey of Zero-Shot Learning Hit paper breakdown → | 2019 | 348 |
| 3 | Privacy and Robustness in Federated Learning: Attacks and Defenses Hit paper breakdown → | 2022 | 296 |
| 4 | Threats to Federated Learning Hit paper breakdown → | 2020 | 290 |
| 5 | A systematic literature review of the capabilities and performance metrics of supply chain resilience Hit paper breakdown → | 2020 | 251 |
| 6 | 2019 | 223 | |
| 7 | 2010 | 223 | |
| 8 | 2020 | 217 | |
| 9 | 2013 | 168 | |
| 10 | 2020 | 167 | |
| 11 | 2020 | 161 | |
| 12 | 2016 | 149 | |
| 13 | STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network Hit paper breakdown → | 2022 | 143 |
| 14 | 2018 | 143 | |
| 15 | 2020 | 130 | |
| 16 | 2017 | 122 | |
| 17 | 2020 | 119 | |
| 18 | 2022 | 92 | |
| 19 | 2020 | 92 | |
| 20 | 2017 | 89 |
About Han Yu
Han Yu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications and Computer Networks and Communications, having authored 401 papers that have together received 8.4k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (96 papers), Mobile Crowdsensing and Crowdsourcing (51 papers), Cryptography and Data Security (25 papers), Auction Theory and Applications (21 papers), Recommender Systems and Techniques (20 papers), Blockchain Technology Applications and Security (18 papers), Stochastic Gradient Optimization Techniques (17 papers) and Advanced Graph Neural Networks (16 papers). The work is most often cited by research in Computer Science Applications (1.1k citations), Artificial Intelligence (4.5k citations), Health Informatics (135 citations), Information Systems (1.3k citations) and Computer Networks and Communications (1.1k citations). Han Yu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Chunyan Miao, Qiang Yang, Cyril Leung, Zhiqi Shen, Yiqiang Chen, Lingjuan Lyu, Tianjian Chen, Yang Liu, Wei Wang and Philip S. Yu. Their work appears in journals such as Synthesis lectures on artificial intelligence and machine learning, IEEE Internet of Things Journal, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.
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.