Yue Han
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Data Stream Mining Techniques
- Advanced Text Analysis Techniques
- Topic Modeling
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Sentiment Analysis and Opinion Mining 2
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- Advanced Database Systems and Queries 2
- Co-authors
- Lei Yu (1 shared paper)Michael E. Berens (1 shared paper)Weipeng Jing (1 shared paper)Guoliang Li (3 shared papers)Ji Sun (3 shared papers)Yu Lei (1 shared paper)Haitao Yuan (2 shared papers)Ling Feng (1 shared paper)
- Journals
- Applied Optics (2 papers)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)Journal of Electronic Materials (1 paper)Optik (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yue Han
13 papers receiving 352 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 202
- Signal Processing 60
- Computer Networks and Communications 91
- Information Systems 68
- Analytical Chemistry 19
Countries citing papers authored by Yue Han
This map shows the geographic impact of Yue Han'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 Yue Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Han more than expected).
Fields of papers citing papers by Yue Han
This network shows the impact of papers produced by Yue Han. 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 Yue Han. The network helps show where Yue Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yue Han, 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 | 2011 | 73 | |
| 2 | 2020 | 73 | |
| 3 | 2021 | 68 | |
| 4 | 2020 | 48 | |
| 5 | 2012 | 28 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 6 | |
| 10 | Preliminary study on development of active bio-feedback system using EMG | 2010 | 4 |
| 11 | 2016 | 4 | |
| 12 | 2022 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2022 | 0 |
About Yue Han
Yue Han is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Signal Processing and Management Science and Operations Research, having authored 16 papers that have together received 360 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (3 papers), Gene expression and cancer classification (2 papers), Advanced Database Systems and Queries (2 papers), Face and Expression Recognition (2 papers), Data Management and Algorithms (2 papers), Stock Market Forecasting Methods (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Water Quality Monitoring and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (202 citations), Signal Processing (60 citations), Computer Networks and Communications (91 citations), Information Systems (68 citations) and Analytical Chemistry (19 citations). Yue Han has collaborated with scholars based in China and United States. Frequent co-authors include Lei Yu, Michael E. Berens, Weipeng Jing, Guoliang Li, Ji Sun, Yu Lei, Haitao Yuan, Ling Feng, Xuanhe Zhou and Xiang Yu. Their work appears in journals such as Applied Optics, Statistical Analysis and Data Mining The ASA Data Science Journal, Journal of Electronic Materials, Optik and ACS Applied Materials & Interfaces.
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.