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 77
- Natural Language Processing Techniques 32
- Advanced Graph Neural Networks 22
- Advanced Text Analysis Techniques 19
- Text and Document Classification Technologies 12
- Sentiment Analysis and Opinion Mining 12
- Domain Adaptation and Few-Shot Learning 11
- Co-authors
- Linda M. HendershotMin YangKai LeiYaliang LiZhou ZhaoHai-Tao ZhengLaurent MeunierPaul Pu Liang
- Journals
- Neural Computing and Applications (6 papers)Knowledge-Based Systems (5 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)ACM Computing Surveys (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Shen
154 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Artificial Intelligence 1.6k
- Cell Biology 549
- Computer Vision and Pattern Recognition 424
- Health Informatics 25
- Health Information Management 76
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 26 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 75 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 99 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 18 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 36 | |
| 16 | 2019 | 24 | |
| 17 | 2018 | 26 | |
| 18 | 2017 | 4 | |
| 19 | The effects of group safety climate on construction personnel's safety behavior: A cross-level investigation | 2017 | 0 |
| 20 | Multiplicity of positive solutions for a Navier boundary-value problem involving the p-biharmonic with critical exponent | 2011 | 2 |
About Ying Shen
Ying Shen is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Information Systems and Medical Laboratory Technology, having authored 171 papers that have together received 3.4k indexed citations. Recurring topics across this work include Topic Modeling (77 papers), Natural Language Processing Techniques (32 papers), Advanced Graph Neural Networks (22 papers), Advanced Text Analysis Techniques (19 papers), Multimodal Machine Learning Applications (16 papers), Text and Document Classification Technologies (12 papers), Sentiment Analysis and Opinion Mining (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 (549 citations), Computer Vision and Pattern Recognition (424 citations), Health Informatics (25 citations) and Health Information Management (76 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, Paul Pu Liang and Amir Zadeh. Their work appears in journals such as Neural Computing and Applications, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and ACM Computing Surveys.
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.