Shexia He
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 10
- Natural Language Processing Techniques 10
- Text Readability and Simplification 6
- Speech and dialogue systems 1
- Semantic Web and Ontologies 1
-
- Multimodal Machine Learning Applications 1
- Co-authors
- Zuchao Li (10 shared papers)Hai Zhao (9 shared papers)Zhuosheng Zhang (4 shared papers)Yiqing Zhang (1 shared paper)Xiang Zhou (1 shared paper)Hai Yan Zhao (1 shared paper)Xi Zhou (1 shared paper)Linlin Li (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Computational Linguistics (1 paper)ACM Transactions on Asian and Low-Resource Language Information Processing (1 paper)International Conference on Computational Linguistics (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- China
In The Last Decade
Shexia He
10 papers receiving 417 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 419
- Computer Vision and Pattern Recognition 75
- Information Systems 21
- Health Informatics 1
- Molecular Biology 45
Countries citing papers authored by Shexia He
This map shows the geographic impact of Shexia He'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 Shexia He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shexia He more than expected).
Fields of papers citing papers by Shexia He
This network shows the impact of papers produced by Shexia He. 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 Shexia He. The network helps show where Shexia He may publish in the future.
Co-authors
The 13 scholars most cited alongside Shexia He, 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 | 2018 | 98 | |
| 2 | Seq2seq Dependency Parsing. | 2018 | 72 |
| 3 | 2019 | 65 | |
| 4 | 2018 | 58 | |
| 5 | A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware? | 2018 | 47 |
| 6 | 2019 | 37 | |
| 7 | 2019 | 26 | |
| 8 | 2018 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2022 | 3 |
About Shexia He
Shexia He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 10 papers that have together received 434 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers), Text Readability and Simplification (6 papers), Speech and dialogue systems (1 paper), Multimodal Machine Learning Applications (1 paper), Genomics and Phylogenetic Studies (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (419 citations), Computer Vision and Pattern Recognition (75 citations), Information Systems (21 citations), Health Informatics (1 citation) and Molecular Biology (45 citations). Shexia He has collaborated with scholars based in China. Frequent co-authors include Zuchao Li, Hai Zhao, Zhuosheng Zhang, Yiqing Zhang, Xiang Zhou, Hai Yan Zhao, Xi Zhou, Linlin Li, Luo Si and Gongshen Liu. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computational Linguistics, ACM Transactions on Asian and Low-Resource Language Information Processing, International Conference on Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.
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.