Ting Dai

12 papers and 79 indexed citations
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About

Ting Dai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ting Dai has authored 12 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Ting Dai’s work include Adversarial Robustness in Machine Learning (4 papers), Security in Wireless Sensor Networks (3 papers) and Security and Verification in Computing (2 papers). Ting Dai is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Security in Wireless Sensor Networks (3 papers) and Security and Verification in Computing (2 papers). Ting Dai collaborates with scholars based in China, United States and Singapore. Ting Dai's co-authors include Xinyu Wang, Jingyi Wang, Jin Song Dong, Jun Sun, Xingen Wang, Haiping Huang, Ruchuan Wang, Qi Li, Xiaohui Gu and Jianye Hao and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Co-authorship network of co-authors of Ting Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Dai. A scholar is included among the top collaborators of Ting Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Dai. Ting Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Ting Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Dai

Since Specialization
Citations

This map shows the geographic impact of Ting 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 Ting Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting 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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2026