Xiaocui Yang
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
Papers in
-
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Advanced Text Analysis Techniques 2
- Speech and dialogue systems 2
- Text and Document Classification Technologies 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Daling Wang (7 shared papers)Shi Feng (7 shared papers)Yifei Zhang (2 shared papers)Yifei Zhang (1 shared paper)Zihan Wang (1 shared paper)Ming Wang (1 shared paper)Soujanya Poria (1 shared paper)Yameng Li (1 shared paper)
In The Last Decade
Xiaocui Yang
9 papers receiving 325 citations
Xiaocui Yang's Hit Papers
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 97
- Signal Processing 31
- Experimental and Cognitive Psychology 33
- Management Science and Operations Research 24
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 15 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 | 166 | |
| 2 | 2021 | 85 | |
| 3 | Is Mamba effective for time series forecasting? Hit paper breakdown → | 2024 | 70 |
| 4 | 2021 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2017 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 1998 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 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 11 papers that have together received 330 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), Speech and dialogue systems (2 papers), Text and Document Classification Technologies (2 papers), Mental Health via Writing (1 paper), Catalytic Processes in Materials Science (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Artificial Intelligence (230 citations), Computer Vision and Pattern Recognition (97 citations), Signal Processing (31 citations), Experimental and Cognitive Psychology (33 citations) and Management Science and Operations Research (24 citations). Xiaocui Yang has collaborated with scholars based in China and Singapore. Frequent co-authors include Daling Wang, Shi Feng, Yifei Zhang, Yifei Zhang, Yifei Zhang, Zihan Wang, Ming Wang, Soujanya Poria, Yameng Li and Yongkang Liu. Their work appears in journals such as Neurocomputing, World Wide Web, IEEE Transactions on Multimedia, Lecture notes in computer science and Studies in surface science and catalysis.
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.