Ting Dai

499 total citations
25 papers, 295 citations indexed

About

Ting Dai is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ting Dai has authored 25 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Ting Dai's work include Software System Performance and Reliability (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Software Testing and Debugging Techniques (5 papers). Ting Dai is often cited by papers focused on Software System Performance and Reliability (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Software Testing and Debugging Techniques (5 papers). Ting Dai collaborates with scholars based in United States, China and Singapore. Ting Dai's 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 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

Ting Dai

22 papers receiving 285 citations

Peers

Ting Dai
Hong Jin Kang Singapore
Anna Shubina United States
Valerio Schiavoni Switzerland
Yoon‐Chan Jhi United States
Ting Dai
Citations per year, relative to Ting Dai Ting Dai (= 1×) peers Xingen Wang

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).

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.

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

20 of 20 papers shown
1.
Ji, Yuchen, et al.. (2025). Artemis: Toward Accurate Detection of Server-Side Request Forgeries through LLM-Assisted Inter-procedural Path-Sensitive Taint Analysis. Proceedings of the ACM on Programming Languages. 9(OOPSLA1). 1349–1377.
2.
Ji, Yuchen, et al.. (2024). Poster: Whether We Are Good Enough to Detect Server-Side Request Forgeries in PHP-native Applications?. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 4928–4930.
3.
Dai, Ting, et al.. (2024). GreenABR+: Generalized Energy-Aware Adaptive Bitrate Streaming. ACM Transactions on Multimedia Computing Communications and Applications. 20(9). 1–24. 3 indexed citations
4.
Dai, Ting, et al.. (2022). GreenABR. 150–163. 20 indexed citations
5.
Wang, Jingyi, Jun Sun, Xinyu Wang, et al.. (2021). Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling. IEEE Transactions on Software Engineering. 48(9). 3593–3612. 18 indexed citations
6.
Sun, Jun, et al.. (2021). Towards Repairing Neural Networks Correctly. 714–725. 4 indexed citations
7.
Dai, Ting, et al.. (2020). HangFix. 344–357. 4 indexed citations
8.
Wang, Jingyi, Shuang Liu, Jun Sun, et al.. (2020). An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks. Griffith Research Online (Griffith University, Queensland, Australia). 73–82. 20 indexed citations
9.
Huang, Haiping, et al.. (2020). An Improved Broadcast Authentication Protocol for Wireless Sensor Networks Based on the Self-Reinitializable Hash Chains. Security and Communication Networks. 2020. 1–17. 3 indexed citations
10.
Wang, Jingyi, Jun Sun, Xinyu Wang, et al.. (2020). White-box fairness testing through adversarial sampling. Griffith Research Online (Griffith University, Queensland, Australia). 949–960. 77 indexed citations
11.
Dai, Ting, et al.. (2020). Automatically detecting risky scripts in infrastructure code. 358–371. 12 indexed citations
12.
Kang, Hui, et al.. (2019). FabZK: Supporting Privacy-Preserving, Auditable Smart Contracts in Hyperledger Fabric. 543–555. 27 indexed citations
13.
Dai, Ting, et al.. (2018). Understanding Real-World Timeout Problems in Cloud Server Systems. 1–11. 17 indexed citations
14.
Dai, Ting, et al.. (2018). DScope. 12 indexed citations
15.
Dai, Ting, et al.. (2018). TScope: Automatic Timeout Bug Identification for Server Systems. 344. 1–10. 6 indexed citations
16.
Dai, Ting, et al.. (2017). Hytrace. 641–641. 2 indexed citations
17.
Huang, Haiping, et al.. (2016). An ImprovedμTESLA Protocol Based on Queuing Theory and Benaloh-Leichter SSS in WSNs. Journal of Sensors. 2016. 1–13. 3 indexed citations
18.
Dai, Ting, et al.. (2013). Research on Migration Strategy of Mobile Agent in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 9(11). 642986–642986. 3 indexed citations
19.
Dai, Ting, et al.. (2012). Novel self-renewal Hash chain based on Ito-Saito-Nishizeki secret sharing scheme. The Journal of China Universities of Posts and Telecommunications. 19. 122–127. 4 indexed citations
20.
Dai, Ting, et al.. (2011). On the intelligent detection of insects in stored grain. 31. 2427–2430.

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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