Mandy Guo
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
- Domain Adaptation and Few-Shot Learning
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 11
- Topic Modeling 11
- Text Readability and Simplification 2
- Speech Recognition and Synthesis 2
- Advanced Text Analysis Techniques 1
- Computational Physics and Python Applications 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Yun-Hsuan Sung (6 shared papers)Yinfei Yang (6 shared papers)Daniel Cer (5 shared papers)Ray Kurzweil (4 shared papers)Brian Strope (4 shared papers)Gustavo Hernández Ábrego (3 shared papers)Noah Constant (3 shared papers)Steve Yuan (2 shared papers)
- Partner nations
- United States
In The Last Decade
Mandy Guo
11 papers receiving 523 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 486
- Computer Vision and Pattern Recognition 125
- General Social Sciences 13
- Health Informatics 5
- Information Systems 57
Countries citing papers authored by Mandy Guo
This map shows the geographic impact of Mandy Guo'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 Mandy Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mandy Guo more than expected).
Fields of papers citing papers by Mandy Guo
This network shows the impact of papers produced by Mandy Guo. 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 Mandy Guo. The network helps show where Mandy Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mandy Guo, 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 | 2020 | 228 | |
| 2 | 2022 | 113 | |
| 3 | 2018 | 54 | |
| 4 | 2019 | 49 | |
| 5 | 2021 | 28 | |
| 6 | Wiki-40B: Multilingual Language Model Dataset | 2020 | 24 |
| 7 | 2021 | 23 | |
| 8 | 2023 | 18 | |
| 9 | 2019 | 12 | |
| 10 | 2021 | 12 | |
| 11 | 2023 | 5 |
About Mandy Guo
Mandy Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 566 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (11 papers), Multimodal Machine Learning Applications (2 papers), Text Readability and Simplification (2 papers), Speech Recognition and Synthesis (2 papers), Advanced Text Analysis Techniques (1 paper), Computational Physics and Python Applications (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (486 citations), Computer Vision and Pattern Recognition (125 citations), General Social Sciences (13 citations), Health Informatics (5 citations) and Information Systems (57 citations). Mandy Guo has collaborated with scholars based in United States. Frequent co-authors include Yun-Hsuan Sung, Yinfei Yang, Daniel Cer, Ray Kurzweil, Brian Strope, Gustavo Hernández Ábrego, Noah Constant, Steve Yuan, David Uthus and Amin Ahmad. Their work appears in journals such as Language Resources and 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.