Ziying Dai

24 total papers · 534 total citations
15 papers, 375 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 375 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, Xiangqian Tong, Lu Wang, Yaping Deng and Xiaodong Qiu 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 365 citations

Hit Papers

The strength of random se... 2014 2026 2018 2022 2014 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ziying Dai 336 291 77 44 43 15 375
Chengsong Wang 375 1.1× 319 1.1× 73 0.9× 38 0.9× 45 1.0× 15 433
Upulee Kanewala 245 0.7× 183 0.6× 72 0.9× 65 1.5× 34 0.8× 22 334
Yong‐Rae Kwon 326 1.0× 221 0.8× 67 0.9× 33 0.8× 71 1.7× 10 349
Alex Gyori 362 1.1× 326 1.1× 97 1.3× 53 1.2× 42 1.0× 14 427
M. Lilly Florence 248 0.7× 282 1.0× 141 1.8× 66 1.5× 33 0.8× 17 340
Luca Gazzola 295 0.9× 222 0.8× 92 1.2× 69 1.6× 58 1.3× 10 372
Pietro Braione 288 0.9× 270 0.9× 79 1.0× 53 1.2× 72 1.7× 20 380
Nadia Alshahwan 349 1.0× 315 1.1× 99 1.3× 82 1.9× 70 1.6× 20 439
Zebao Gao 291 0.9× 247 0.8× 94 1.2× 21 0.5× 59 1.4× 13 332
Anil Koyuncu 338 1.0× 352 1.2× 74 1.0× 59 1.3× 79 1.8× 13 418

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

Loading papers...

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