Fei Sha
Impact in
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Topic Modeling
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- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
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- Domain Adaptation and Few-Shot Learning 21
- Topic Modeling 12
- Speech Recognition and Synthesis 12
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- Grouting, Rheology, and Soil Mechanics 27
- Concrete and Cement Materials Research 16
- Co-authors
- Kristen Grauman (18 shared papers)Boqing Gong (10 shared papers)Wei‐Lun Chao (12 shared papers)Fernando M. B. Pereira (1 shared paper)Yuan Shi (3 shared papers)Lawrence K. Saul (19 shared papers)Soravit Changpinyo (5 shared papers)Hexiang Hu (11 shared papers)
- Journals
- Construction and Building Materials (15 papers)Case Studies in Construction Materials (6 papers)Ocean Engineering (5 papers)Journal of Materials Research and Technology (4 papers)Research in Nondestructive Evaluation (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Fei Sha
218 papers receiving 12.1k citations
Fei Sha's Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 5.8k
- Computer Vision and Pattern Recognition 3.6k
- Civil and Structural Engineering 972
- Computational Mathematics 19
- Signal Processing 229
Countries citing papers authored by Fei Sha
This map shows the geographic impact of Fei Sha'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 Fei Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Sha more than expected).
Fields of papers citing papers by Fei Sha
This network shows the impact of papers produced by Fei Sha. 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 Fei Sha. The network helps show where Fei Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Sha, 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 227 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Geodesic flow kernel for unsupervised domain adaptation Hit paper breakdown → | 2012 | 1716 |
| 2 | Shallow parsing with conditional random fields Hit paper breakdown → | 2003 | 954 |
| 3 | Synthesized Classifiers for Zero-Shot Learning Hit paper breakdown → | 2016 | 575 |
| 4 | Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions Hit paper breakdown → | 2020 | 565 |
| 5 | Video Summarization with Long Short-Term Memory Hit paper breakdown → | 2016 | 561 |
| 6 | An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild Hit paper breakdown → | 2016 | 423 |
| 7 | Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation Hit paper breakdown → | 2013 | 314 |
| 8 | 2007 | 274 | |
| 9 | Diverse Sequential Subset Selection for Supervised Video Summarization | 2014 | 269 |
| 10 | DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification | 2008 | 256 |
| 11 | 1996 | 220 | |
| 12 | 2006 | 203 | |
| 13 | Learning with Whom to Share in Multi-task Feature Learning | 2011 | 201 |
| 14 | 2013 | 196 | |
| 15 | 2016 | 190 | |
| 16 | 2017 | 158 | |
| 17 | 2017 | 158 | |
| 18 | 2018 | 146 | |
| 19 | 2018 | 140 | |
| 20 | 2016 | 139 |
About Fei Sha
Fei Sha is a scholar working on Artificial Intelligence, Civil and Structural Engineering, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering, having authored 227 papers that have together received 12.5k indexed citations. Recurring topics across this work include Grouting, Rheology, and Soil Mechanics (27 papers), Domain Adaptation and Few-Shot Learning (21 papers), Concrete and Cement Materials Research (16 papers), Topic Modeling (12 papers), Speech Recognition and Synthesis (12 papers), Electromagnetic Compatibility and Noise Suppression (11 papers), Multimodal Machine Learning Applications (11 papers) and Face and Expression Recognition (10 papers). The work is most often cited by research in Artificial Intelligence (5.8k citations), Computer Vision and Pattern Recognition (3.6k citations), Civil and Structural Engineering (972 citations), Computational Mathematics (19 citations) and Signal Processing (229 citations). Fei Sha has collaborated with scholars based in United States, China and France. Frequent co-authors include Kristen Grauman, Boqing Gong, Wei‐Lun Chao, Fernando M. B. Pereira, Yuan Shi, Lawrence K. Saul, Soravit Changpinyo, Hexiang Hu, Kilian Q. Weinberger and Han-Jia Ye. Their work appears in journals such as Construction and Building Materials, Case Studies in Construction Materials, Ocean Engineering, Journal of Materials Research and Technology and Research in Nondestructive Evaluation.
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.