Xiaocui Yang
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
Papers in
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- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Advanced Text Analysis Techniques 2
- Text and Document Classification Technologies 2
- Co-authors
- Daling Wang (6 shared papers)Shi Feng (5 shared papers)Yifei Zhang (2 shared papers)Yifei Zhang (1 shared paper)Zihan Wang (1 shared paper)Ming Wang (1 shared paper)Feng Shi (1 shared paper)Zhenfei Yang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (1 paper)World Wide Web (1 paper)Neurocomputing (1 paper)Bulletin of Surveying and Mapping (1 paper)
In The Last Decade
Xiaocui Yang
6 papers receiving 265 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 195
- Computer Vision and Pattern Recognition 86
- Signal Processing 26
- Experimental and Cognitive Psychology 30
- Urban Studies 10
Countries citing papers authored by Xiaocui Yang
This map shows the geographic impact of Xiaocui Yang'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 Xiaocui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaocui Yang more than expected).
Fields of papers citing papers by Xiaocui Yang
This network shows the impact of papers produced by Xiaocui Yang. 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 Xiaocui Yang. The network helps show where Xiaocui Yang may publish in the future.
Co-authors
The 13 scholars most cited alongside Xiaocui Yang, 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 | 2020 | 145 | |
| 2 | 2021 | 71 | |
| 3 | 2024 | 47 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 0 | |
| 8 | 2025 | 0 |
About Xiaocui Yang
Xiaocui Yang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Urban Studies, Cellular and Molecular Neuroscience and Social Psychology, having authored 8 papers that have together received 268 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers), Text and Document Classification Technologies (2 papers), Remote-Sensing Image Classification (1 paper), Automated Road and Building Extraction (1 paper), Remote Sensing and Land Use (1 paper) and Mental Health via Writing (1 paper). The work is most often cited by research in Artificial Intelligence (195 citations), Computer Vision and Pattern Recognition (86 citations), Signal Processing (26 citations), Experimental and Cognitive Psychology (30 citations) and Urban Studies (10 citations). Xiaocui Yang has collaborated with scholars based in China and Singapore. Frequent co-authors include Daling Wang, Shi Feng, Yifei Zhang, Yifei Zhang, Zihan Wang, Ming Wang, Feng Shi, Yifei Zhang, Zhenfei Yang and Yongkang Liu. Their work appears in journals such as IEEE Transactions on Multimedia, World Wide Web, Neurocomputing and Bulletin of Surveying and Mapping.
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.