Ting Dai
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Safety Research top 10%
- Software top 5%
- Topics
- Software System Performance and Reliability (9 papers)Adversarial Robustness in Machine Learning (5 papers)Software Testing and Debugging Techniques (5 papers)
- Journals
- IEEE Transactions on Software EngineeringIEEE Transactions on Parallel and Distributed SystemsACM Transactions on Multimedia Computing Communications and Applications
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ting Dai
22 papers receiving 285 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 148
- Computer Networks and Communications 115
- Information Systems 99
- Safety Research 58
- Software 56
Countries citing papers authored by Ting Dai
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).
Fields of papers citing papers by Ting Dai
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.
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 20 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 77 | |
| 11 | 12 | |
| 12 | 27 | |
| 13 | 17 | |
| 14 | 12 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 0 |
About Ting Dai
Ting Dai is a scholar working on Software, Computer Networks and Communications and Signal Processing, having authored 25 papers that have together received 295 indexed citations. Recurring topics across this work include Software System Performance and Reliability (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Software (56 citations), Safety Research (58 citations) and Computer Networks and Communications (115 citations). Ting Dai has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Xiaohui Gu, Xinyu Wang, Jun Sun, Jingyi Wang, Jin Song Dong, Xingen Wang, Shan Lu, Shu Tao, Hui Kang and Alexei Karve. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Multimedia Computing Communications and Applications.
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.