Mo Yu
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 51
- Natural Language Processing Techniques 38
- Domain Adaptation and Few-Shot Learning 9
- Speech and dialogue systems 6
- Advanced Text Analysis Techniques 6
- Advanced Graph Neural Networks 5
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- Multimodal Machine Learning Applications 19
- Advanced Image and Video Retrieval Techniques 5
- Co-authors
- Tiejun Zhao (4 shared papers)Ming Zhou (1 shared paper)Xiaohua Liu (1 shared paper)Long Jiang (1 shared paper)Mark Dredze (5 shared papers)Shiyu Chang (18 shared papers)Bowen Zhou (8 shared papers)Bing Xiang (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (4 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)IEEE Intelligent Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM Transactions on Information Systems (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Mo Yu
81 papers receiving 3.1k citations
Mo Yu's Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 636
- Information Systems 480
- Health Informatics 21
- Statistical and Nonlinear Physics 130
Countries citing papers authored by Mo Yu
This map shows the geographic impact of Mo Yu'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 Mo Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Yu more than expected).
Fields of papers citing papers by Mo Yu
This network shows the impact of papers produced by Mo Yu. 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 Mo Yu. The network helps show where Mo Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Target-dependent Twitter Sentiment Classification Hit paper breakdown → | 2011 | 682 |
| 2 | 2017 | 199 | |
| 3 | A Structured Self-Attentive Sentence Embedding. | 2017 | 193 |
| 4 | 2014 | 184 | |
| 5 | 2018 | 180 | |
| 6 | 2020 | 176 | |
| 7 | 2022 | 106 | |
| 8 | R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering. | 2018 | 105 |
| 9 | 2019 | 95 | |
| 10 | 2022 | 82 | |
| 11 | 2018 | 72 | |
| 12 | 2019 | 71 | |
| 13 | 2016 | 68 | |
| 14 | 2018 | 60 | |
| 15 | Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering | 2017 | 52 |
| 16 | 2019 | 52 | |
| 17 | 2014 | 51 | |
| 18 | 2015 | 49 | |
| 19 | 2018 | 49 | |
| 20 | 2021 | 48 |
About Mo Yu
Mo Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 89 papers that have together received 3.2k indexed citations. Recurring topics across this work include Topic Modeling (51 papers), Natural Language Processing Techniques (38 papers), Multimodal Machine Learning Applications (19 papers), Domain Adaptation and Few-Shot Learning (9 papers), Speech and dialogue systems (6 papers), Advanced Text Analysis Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (636 citations), Information Systems (480 citations), Health Informatics (21 citations) and Statistical and Nonlinear Physics (130 citations). Mo Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Tiejun Zhao, Ming Zhou, Xiaohua Liu, Long Jiang, Mark Dredze, Shiyu Chang, Bowen Zhou, Bing Xiang, Xiaoxiao Guo and Wenhan Xiong. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Proceedings of the ACM on Human-Computer Interaction, IEEE Intelligent Systems, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Information Systems.
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.