Ying Shen
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Topic Modeling 76
- Natural Language Processing Techniques 32
- Advanced Graph Neural Networks 22
- Advanced Text Analysis Techniques 19
- Sentiment Analysis and Opinion Mining 12
- Text and Document Classification Technologies 12
- Domain Adaptation and Few-Shot Learning 11
-
- Multimodal Machine Learning Applications 17
- Co-authors
- Linda M. Hendershot (6 shared papers)Min Yang (44 shared papers)Kai Lei (27 shared papers)Yaliang Li (29 shared papers)Min Yang (12 shared papers)Zhou Zhao (12 shared papers)Hai-Tao Zheng (24 shared papers)Laurent Meunier (1 shared paper)
- Journals
- Neural Computing and Applications (6 papers)Knowledge-Based Systems (5 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)ACM Computing Surveys (4 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Shen
155 papers receiving 3.4k citations
Ying Shen's Hit Papers
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 1.6k
- Cell Biology 537
- Computer Vision and Pattern Recognition 429
- Health Informatics 21
- Information Systems 337
Countries citing papers authored by Ying Shen
This map shows the geographic impact of Ying Shen'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 Ying Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Shen more than expected).
Fields of papers citing papers by Ying Shen
This network shows the impact of papers produced by Ying Shen. 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 Ying Shen. The network helps show where Ying Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Shen, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors Hit paper breakdown → | 2019 | 321 |
| 2 | 2004 | 167 | |
| 3 | 2002 | 167 | |
| 4 | 2010 | 158 | |
| 5 | 2002 | 143 | |
| 6 | 2005 | 131 | |
| 7 | 2020 | 103 | |
| 8 | 2022 | 78 | |
| 9 | 2019 | 69 | |
| 10 | 2011 | 69 | |
| 11 | 2019 | 56 | |
| 12 | 2024 | 56 | |
| 13 | 2019 | 56 | |
| 14 | 2008 | 53 | |
| 15 | 2018 | 52 | |
| 16 | 2019 | 50 | |
| 17 | 2018 | 50 | |
| 18 | 2019 | 48 | |
| 19 | 2015 | 46 | |
| 20 | 2020 | 46 |
About Ying Shen
Ying Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Management Science and Operations Research, having authored 165 papers that have together received 3.5k indexed citations. Recurring topics across this work include Topic Modeling (76 papers), Natural Language Processing Techniques (32 papers), Advanced Graph Neural Networks (22 papers), Advanced Text Analysis Techniques (19 papers), Multimodal Machine Learning Applications (17 papers), Sentiment Analysis and Opinion Mining (12 papers), Text and Document Classification Technologies (12 papers) and Domain Adaptation and Few-Shot Learning (11 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Cell Biology (537 citations), Computer Vision and Pattern Recognition (429 citations), Health Informatics (21 citations) and Information Systems (337 citations). Ying Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Linda M. Hendershot, Min Yang, Kai Lei, Yaliang Li, Min Yang, Zhou Zhao, Hai-Tao Zheng, Laurent Meunier, Louis‐Philippe Morency and Paul Pu Liang. Their work appears in journals such as Neural Computing and Applications, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems, ACM Computing Surveys and IEEE Transactions on Knowledge and Data Engineering.
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.