Jing Dai

12 papers and 59 indexed citations i.

About

Jing Dai is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jing Dai has authored 12 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jing Dai’s work include Video Analysis and Summarization (3 papers), Peer-to-Peer Network Technologies (3 papers) and Data Management and Algorithms (3 papers). Jing Dai is often cited by papers focused on Video Analysis and Summarization (3 papers), Peer-to-Peer Network Technologies (3 papers) and Data Management and Algorithms (3 papers). Jing Dai collaborates with scholars based in United States, China and Hong Kong. Jing Dai's co-authors include Chang‐Tien Lu, Ting Hua, Feng Chen, Naren Ramakrishnan, Liang Zhao, Xuchao Zhang, Arnold P. Boedihardjo, Zhiqian Chen, Zhengfei Wang and Wei Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Big Data.

In The Last Decade

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

Fields of papers citing papers by Jing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Dai

Since Specialization
Citations

This map shows the geographic impact of Jing Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Dai 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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2025