Jing Shi

About

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.

In The Last Decade

Co-authorship network of co-authors of Jing Shi i

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Fields of papers citing papers by Jing Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Shi. 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 Jing Shi. The network helps show where Jing Shi may publish in the future.

Countries citing papers authored by Jing Shi

Since Specialization

Citations

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

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.

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