Zheda Mai

11 papers and 374 indexed citations i.

About

Zheda Mai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zheda Mai has authored 11 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Zheda Mai’s work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Recommender Systems and Techniques (3 papers). Zheda Mai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Recommender Systems and Techniques (3 papers). Zheda Mai collaborates with scholars based in Canada, United States and Australia. Zheda Mai's co-authors include Scott Sanner, Hyunwoo Kim, Ruiwen Li, Jihwan Jeong, Jongseong Jang, Zhibo Zhang, Mohamed Reda Bouadjenek, Wei‐Lun Chao, M. Caccia and Qi She and has published in prestigious journals such as Artificial Intelligence, Neurocomputing and Information Processing & Management.

In The Last Decade

Co-authorship network of co-authors of Zheda Mai i

Fields of papers citing papers by Zheda Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zheda Mai

Since Specialization
Citations

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