Ziying Dai

534 total citations · 1 hit paper
15 papers, 378 citations indexed

About

Ziying Dai is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ziying Dai has authored 15 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Software, 11 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Ziying Dai's work include Software Testing and Debugging Techniques (12 papers), Software Engineering Research (10 papers) and Software Reliability and Analysis Research (9 papers). Ziying Dai is often cited by papers focused on Software Testing and Debugging Techniques (12 papers), Software Engineering Research (10 papers) and Software Reliability and Analysis Research (9 papers). Ziying Dai collaborates with scholars based in China. Ziying Dai's co-authors include Xiaoguang Mao, Yan Lei, Chengsong Wang, Yuhua Qi, Bin Gu, Rui Wang, Lei Yan, Yaping Deng, Hao Jia and Xiangqian Tong and has published in prestigious journals such as Journal of Systems and Software, The Scientific World JOURNAL and Science China Information Sciences.

In The Last Decade

Ziying Dai

14 papers receiving 368 citations

Hit Papers

The strength of random search on automated program repair 2014 2026 2018 2022 2014 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ziying Dai China 6 339 292 78 44 43 15 378
Steve Kommrusch United States 3 236 0.7× 253 0.9× 74 0.9× 70 1.6× 62 1.4× 5 328
Yong‐Rae Kwon South Korea 7 328 1.0× 223 0.8× 68 0.9× 33 0.8× 71 1.7× 10 351
Marina Polishchuk United States 6 178 0.5× 177 0.6× 116 1.5× 55 1.3× 72 1.7× 8 256
Alex Gyori United States 11 363 1.1× 326 1.1× 97 1.2× 53 1.2× 42 1.0× 14 427
Alexandru Marginean United Kingdom 6 192 0.6× 164 0.6× 51 0.7× 55 1.3× 49 1.1× 7 254
E.W. Krauser United States 7 303 0.9× 206 0.7× 53 0.7× 26 0.6× 63 1.5× 8 319
Simon Holm Jensen Denmark 5 233 0.7× 258 0.9× 64 0.8× 100 2.3× 124 2.9× 5 332
Zebao Gao United States 9 294 0.9× 250 0.9× 94 1.2× 21 0.5× 60 1.4× 13 335
Dennis Jeffrey United States 9 584 1.7× 416 1.4× 180 2.3× 26 0.6× 34 0.8× 15 611
Yannic Noller Singapore 7 192 0.6× 169 0.6× 36 0.5× 47 1.1× 77 1.8× 21 247

Countries citing papers authored by Ziying Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ziying Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziying Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ziying Dai. A scholar is included among the top collaborators of Ziying 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 Ziying Dai. Ziying Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Deng, Yaping, Hao Jia, Xiangqian Tong, et al.. (2020). Voltage Sag Identification Based on Deep Learning Method with Gated Recurrent Unit. 10. 1113–1117. 1 indexed citations
2.
Qi, Yuhua, Xiaoguang Mao, Yan Lei, Ziying Dai, & Chengsong Wang. (2014). The strength of random search on automated program repair. 254–265. 212 indexed citations breakdown →
3.
Dai, Ziying, et al.. (2013). Compositional Mining of Multiple Object API Protocols through State Abstraction. The Scientific World JOURNAL. 2013(1). 171647–171647. 1 indexed citations
4.
5.
Qi, Yuhua, et al.. (2013). Efficient automatic program repair using function-based part-execution. 235–238. 3 indexed citations
6.
Mao, Xiaoguang, Yan Lei, Ziying Dai, Yuhua Qi, & Chengsong Wang. (2013). Slice-based statistical fault localization. Journal of Systems and Software. 89. 51–62. 83 indexed citations
7.
Qi, Yuhua, Xiaoguang Mao, Yan Lei, Ziying Dai, & Chengsong Wang. (2013). Does Genetic Programming Work Well on Automated Program Repair?. 1875–1878. 11 indexed citations
8.
Lei, Yan, et al.. (2012). Effective Fault Localization Approach Using Feedback. IEICE Transactions on Information and Systems. E95.D(9). 2247–2257. 13 indexed citations
9.
Dai, Ziying, et al.. (2012). Resco: Automatic Collection of Leaked Resources. IEICE Transactions on Information and Systems. E96.D(1). 28–39. 2 indexed citations
10.
Lei, Yan, Xiaoguang Mao, Ziying Dai, & Chengsong Wang. (2012). Effective Statistical Fault Localization Using Program Slices. 1–10. 33 indexed citations
11.
Wang, Chengsong, Xiaoguang Mao, Ziying Dai, & Lei Yan. (2012). Research on automatic instrumentation for bytecode testing and debugging. 1687. 268–274. 1 indexed citations
12.
Mao, Xiaoguang, et al.. (2012). Fault localization via behavioral models. 22. 472–475. 1 indexed citations
13.
Qi, Yuhua, et al.. (2012). More efficient automatic repair of large-scale programs using weak recompilation. Science China Information Sciences. 55(12). 2785–2799. 9 indexed citations
14.
Dai, Ziying, et al.. (2011). Automatic online specification mining. 22. 253–258.
15.
Wang, Rui, et al.. (2009). Extending UML for Aspect-Oriented Architecture Modeling. 362–366. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026