Shuohuan Wang
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Speech Recognition and Synthesis
- Hate Speech and Cyberbullying Detection
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 10
- Sentiment Analysis and Opinion Mining 1
- Speech Recognition and Synthesis 1
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- Multimodal Machine Learning Applications 5
- Co-authors
- Haifeng WangHua WuYu SunHao TianShikun FengYukun LiChao PangJiaxiang Liu
- Journals
- arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Research at the University of Copenhagen (University of Copenhagen) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Shuohuan Wang
14 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 527
- Computer Vision and Pattern Recognition 131
- Health Informatics 8
- Information Systems 75
- General Social Sciences 9
Countries citing papers authored by Shuohuan Wang
This map shows the geographic impact of Shuohuan Wang'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 Shuohuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuohuan Wang more than expected).
Fields of papers citing papers by Shuohuan Wang
This network shows the impact of papers produced by Shuohuan Wang. 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 Shuohuan Wang. The network helps show where Shuohuan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuohuan Wang, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 37 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 38 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 26 | |
| 13 | 2020 | 3 | |
| 14 | ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding Hit paper breakdown → | 2020 | 446 |
| 15 | 2019 | 6 |
About Shuohuan Wang
Shuohuan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Information Systems and Management and Ocean Engineering, having authored 15 papers that have together received 605 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Multimodal Machine Learning Applications (5 papers), Psychological and Educational Research Studies (1 paper), Misinformation and Its Impacts (1 paper), Software Engineering Research (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Artificial Intelligence (527 citations), Computer Vision and Pattern Recognition (131 citations), Health Informatics (8 citations), Information Systems (75 citations) and General Social Sciences (9 citations). Shuohuan Wang has collaborated with scholars based in China and South Korea. Frequent co-authors include Haifeng Wang, Hua Wu, Yu Sun, Hao Tian, Shikun Feng, Yukun Li, Yu Sun, Chao Pang, Jiaxiang Liu and Zhongjun He. Their work appears in journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Research at the University of Copenhagen (University of Copenhagen) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.