Xinyi Dai

54 papers and 865 indexed citations i.

About

Xinyi Dai is a scholar working on Artificial Intelligence, Information Systems and Surgery. According to data from OpenAlex, Xinyi Dai has authored 54 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Information Systems and 11 papers in Surgery. Recurrent topics in Xinyi Dai’s work include Recommender Systems and Techniques (14 papers), Advanced Graph Neural Networks (9 papers) and Reconstructive Surgery and Microvascular Techniques (7 papers). Xinyi Dai is often cited by papers focused on Recommender Systems and Techniques (14 papers), Advanced Graph Neural Networks (9 papers) and Reconstructive Surgery and Microvascular Techniques (7 papers). Xinyi Dai collaborates with scholars based in China, Germany and United States. Xinyi Dai's co-authors include Ruiming Tang, Weinan Zhang, Yong Yu, Arndt F. Schilling, Huaiyuan Zheng, Haokun Chen, Norbert Hüser, Nicola Taccardi, Kai Zheng and Aldo R. Boccaccını and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Electrochimica Acta.

In The Last Decade

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

Fields of papers citing papers by Xinyi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xinyi Dai

Since Specialization
Citations

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