How Jing
About
How Jing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology.
According to data from OpenAlex, How Jing has authored 5 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in How Jing’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Topic Modeling (2 papers) and Speech Recognition and Synthesis (2 papers). How Jing is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Topic Modeling (2 papers) and Speech Recognition and Synthesis (2 papers). How Jing collaborates with scholars based in United States and Taiwan. How Jing's co-authors include Yu Tsao, Yu‐Cheng Kao, Tsang-Long Pao, Hung-yi Lee, Baoxu Shi, Jaewon Yang, Chi-Chun Lee, Tim Weninger, Hsin‐Min Wang and Kuan‐Yu Chen and has published in prestigious journals such as Interspeech 2022, 2022 International Joint Conference on Neural Networks (IJCNN) and International Joint Conference on Natural Language Processing.
In The Last Decade
Co-authorship network of co-authors of How Jing i
Fields of papers citing papers by How Jing
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 How Jing. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where How Jing may publish in the future.
Countries citing papers authored by How Jing
Since SpecializationCitations
This map shows the geographic impact of How Jing'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 How Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites How Jing more than expected).
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