Sheng Zha
About
Sheng Zha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Sheng Zha has authored 7 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sheng Zha’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Sheng Zha is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Sheng Zha collaborates with scholars based in United States and Germany. Sheng Zha's co-authors include He He, Haohan Wang, Leonard Lausen, Zhang Zhi, Zhongyue Zhang, Xingjian Shi, Mu Li, Junyuan Xie, Haibin Lin and Jian Guo and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
In The Last Decade
Co-authorship network of co-authors of Sheng Zha i
Fields of papers citing papers by Sheng Zha
Since SpecializationEngineeringComputer 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 Sheng Zha. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sheng Zha may publish in the future.
Countries citing papers authored by Sheng Zha
Since SpecializationCitations
This map shows the geographic impact of Sheng Zha'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 Sheng Zha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Zha more than expected).
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