Jing Shi

35 papers and 310 indexed citations i.

Jing Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jing Shi has authored 35 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Jing Shi’s work include Multimodal Machine Learning Applications (13 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Jing Shi is often cited by papers focused on Multimodal Machine Learning Applications (13 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Jing Shi collaborates with scholars based in China, United States and United Kingdom. Jing Shi's co-authors include Wenhuan Wu, Chenliang Xu, Hong Zhu, Yiwu Zhong, Jianwei Yang, Li Yin, Ning Xu, Jia Xu, Boqing Gong and Hua Shi and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.