Daya Guo

16 papers and 1.2k indexed citations i.

About

Daya Guo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daya Guo has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daya Guo’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Daya Guo is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Daya Guo collaborates with scholars based in China, United States and United Kingdom. Daya Guo's co-authors include Nan Duan, Ming Zhou, Duyu Tang, Daxin Jiang, Linjun Shou, Ming Gong, Bing Qin, Ting Liu, Zhangyin Feng and Xiaocheng Feng and has published in prestigious journals such as Open Publications Of UTS Scholars (University of Technology Sydney), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Daya Guo i

Fields of papers citing papers by Daya Guo

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daya Guo. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daya Guo may publish in the future.

Countries citing papers authored by Daya Guo

Since Specialization
Citations

This map shows the geographic impact of Daya 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 Daya Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daya Guo more than expected).

Rankless by CCL
2025