Mengzhou Xia
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Domain Adaptation and Few-Shot Learning 2
- Semantic Web and Ontologies 1
- Machine Learning and Data Classification 1
-
- Multimodal Machine Learning Applications 2
- Co-authors
- Danqi Chen (9 shared papers)Zexuan Zhong (1 shared paper)Graham Neubig (2 shared papers)Shuming Shi (1 shared paper)Lemao Liu (1 shared paper)Ruochen Xu (1 shared paper)Yiming Yang (1 shared paper)Antonios Anastasopoulos (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Mengzhou Xia
11 papers receiving 156 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 58
- Health Informatics 1
- General Social Sciences 2
- Information Systems 12
Countries citing papers authored by Mengzhou Xia
This map shows the geographic impact of Mengzhou Xia'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 Mengzhou Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengzhou Xia more than expected).
Fields of papers citing papers by Mengzhou Xia
This network shows the impact of papers produced by Mengzhou Xia. 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 Mengzhou Xia. The network helps show where Mengzhou Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengzhou Xia, 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 | 2022 | 69 | |
| 2 | 2020 | 22 | |
| 3 | 2019 | 21 | |
| 4 | 2021 | 13 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 |
About Mengzhou Xia
Mengzhou Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications, Gender Studies and Infectious Diseases, having authored 13 papers that have together received 164 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers), Semantic Web and Ontologies (1 paper), Online Learning and Analytics (1 paper), Machine Learning and Data Classification (1 paper) and Gender Studies in Language (1 paper). The work is most often cited by research in Artificial Intelligence (137 citations), Computer Vision and Pattern Recognition (58 citations), Health Informatics (1 citation), General Social Sciences (2 citations) and Information Systems (12 citations). Mengzhou Xia has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Danqi Chen, Zexuan Zhong, Graham Neubig, Shuming Shi, Lemao Liu, Ruochen Xu, Yiming Yang, Antonios Anastasopoulos, Mikel Artetxe and Veselin Stoyanov. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.