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
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 12
- Topic Modeling 12
- Speech Recognition and Synthesis 3
- Text Readability and Simplification 2
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- Multimodal Machine Learning Applications 2
- Co-authors
- Noah Constant (4 shared papers)Yun-Hsuan Sung (6 shared papers)Rami Al‐Rfou (2 shared papers)Yinfei Yang (6 shared papers)Daniel Cer (5 shared papers)Llion Jones (1 shared paper)Ray Kurzweil (4 shared papers)Brian Strope (4 shared papers)
- Partner nations
- United StatesIndia
In The Last Decade
Mandy Guo
12 papers receiving 695 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 596
- Computer Vision and Pattern Recognition 180
- General Social Sciences 15
- Health Informatics 5
- Signal Processing 34
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 | 233 | |
| 2 | 2019 | 168 | |
| 3 | 2022 | 116 | |
| 4 | 2018 | 54 | |
| 5 | 2019 | 49 | |
| 6 | 2021 | 29 | |
| 7 | Wiki-40B: Multilingual Language Model Dataset | 2020 | 24 |
| 8 | 2021 | 23 | |
| 9 | 2023 | 18 | |
| 10 | 2019 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 6 | |
| 13 | 2025 | 0 |
About Mandy Guo
Mandy Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, General Health Professions and Epidemiology, having authored 13 papers that have together received 744 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers), Speech Recognition and Synthesis (3 papers), Text Readability and Simplification (2 papers), Multimodal Machine Learning Applications (2 papers), Maternal and Neonatal Healthcare (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Artificial Intelligence (596 citations), Computer Vision and Pattern Recognition (180 citations), General Social Sciences (15 citations), Health Informatics (5 citations) and Signal Processing (34 citations). Mandy Guo has collaborated with scholars based in United States and India. Frequent co-authors include Noah Constant, Yun-Hsuan Sung, Rami Al‐Rfou, Yinfei Yang, Daniel Cer, Llion Jones, Ray Kurzweil, Brian Strope, Gustavo Hernández Ábrego and Steve Yuan. 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.