Zhigang Dai

6 papers and 338 indexed citations i.

About

Zhigang Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Zhigang Dai has authored 6 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Zhigang Dai’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Zhigang Dai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Zhigang Dai collaborates with scholars based in China. Zhigang Dai's co-authors include Bolun Cai, Junying Chen, Suyun Zhao, Cuiping Li, Hong Chen, Xizhao Wang, Peng Ni, Changyu Shen, Bin Fang and Fang‐Zhou Shu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Express and IEEE Transactions on Fuzzy Systems.

In The Last Decade

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

Fields of papers citing papers by Zhigang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhigang Dai

Since Specialization
Citations

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