Hang Yu
Impact in
- Artificial Intelligence top 2%
- Data Stream Mining Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
- Machine Learning and Data Classification
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 25
- Data Stream Mining Techniques 16
- Advanced Graph Neural Networks 12
- Domain Adaptation and Few-Shot Learning 10
- Imbalanced Data Classification Techniques 9
- Reinforcement Learning in Robotics 9
- Machine Learning and Data Classification 9
- Advanced Text Analysis Techniques 8
- Co-authors
- Jie Lü (13 shared papers)Guangquan Zhang (12 shared papers)Xiangfeng Luo (40 shared papers)Weiqiang Jin (6 shared papers)Biao Zhao (4 shared papers)Shaorong Xie (20 shared papers)Yimin Wen (3 shared papers)Liyan Ma (3 shared papers)
- Journals
- Knowledge-Based Systems (8 papers)Neurocomputing (6 papers)Information Fusion (4 papers)Information Sciences (3 papers)Materials Research Express (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Hang Yu
108 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 691
- Computer Vision and Pattern Recognition 253
- Signal Processing 93
- Information Systems 125
- Management Science and Operations Research 57
Countries citing papers authored by Hang Yu
This map shows the geographic impact of Hang 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 Hang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yu more than expected).
Fields of papers citing papers by Hang Yu
This network shows the impact of papers produced by Hang 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 Hang Yu. The network helps show where Hang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 67 | |
| 2 | 2023 | 61 | |
| 3 | 2022 | 50 | |
| 4 | 2020 | 50 | |
| 5 | 2022 | 46 | |
| 6 | 2023 | 42 | |
| 7 | 2020 | 39 | |
| 8 | 2024 | 36 | |
| 9 | 2023 | 34 | |
| 10 | 2008 | 34 | |
| 11 | 2019 | 29 | |
| 12 | 2023 | 28 | |
| 13 | 2022 | 27 | |
| 14 | 2018 | 26 | |
| 15 | 2022 | 26 | |
| 16 | 2020 | 23 | |
| 17 | 2020 | 23 | |
| 18 | 2022 | 21 | |
| 19 | 2021 | 19 | |
| 20 | 2022 | 19 |
About Hang Yu
Hang Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Mechanical Engineering and Computer Networks and Communications, having authored 130 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Data Stream Mining Techniques (16 papers), Advanced Graph Neural Networks (12 papers), Domain Adaptation and Few-Shot Learning (10 papers), Imbalanced Data Classification Techniques (9 papers), Reinforcement Learning in Robotics (9 papers), Machine Learning and Data Classification (9 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (691 citations), Computer Vision and Pattern Recognition (253 citations), Signal Processing (93 citations), Information Systems (125 citations) and Management Science and Operations Research (57 citations). Hang Yu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jie Lü, Guangquan Zhang, Xiangfeng Luo, Weiqiang Jin, Biao Zhao, Shaorong Xie, Yimin Wen, Liyan Ma, Chenxing Liu and Jia Wu. Their work appears in journals such as Knowledge-Based Systems, Neurocomputing, Information Fusion, Information Sciences and Materials Research Express.
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.