Enyan Dai

18 papers and 380 indexed citations i.

About

Enyan Dai is a scholar working on Artificial Intelligence, Safety Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Enyan Dai has authored 18 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Safety Research and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Enyan Dai’s work include Advanced Graph Neural Networks (11 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Ethics and Social Impacts of AI (5 papers). Enyan Dai is often cited by papers focused on Advanced Graph Neural Networks (11 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Ethics and Social Impacts of AI (5 papers). Enyan Dai collaborates with scholars based in United States, China and Hong Kong. Enyan Dai's co-authors include Suhang Wang, Tianxiang Zhao, Yiwei Sun, Jianli Chen, Yuqing Hu, Hui Liu, Wei Jin, X. D. Zhang, Kai Shu and Jianzhuang Liu and has published in prestigious journals such as Applied Energy, Neurocomputing and IEEE Transactions on Software Engineering.

In The Last Decade

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

Fields of papers citing papers by Enyan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enyan Dai

Since Specialization
Citations

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