Yuting Chen

1.8k total citations · 1 hit paper
67 papers, 1.2k citations indexed

About

Yuting Chen is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Yuting Chen has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 22 papers in Software and 16 papers in Computer Networks and Communications. Recurrent topics in Yuting Chen's work include Software Testing and Debugging Techniques (17 papers), Software Engineering Research (16 papers) and Software Reliability and Analysis Research (14 papers). Yuting Chen is often cited by papers focused on Software Testing and Debugging Techniques (17 papers), Software Engineering Research (16 papers) and Software Reliability and Analysis Research (14 papers). Yuting Chen collaborates with scholars based in China, United States and Japan. Yuting Chen's co-authors include Zhendong Su, Ting Su, Jianjun Zhao, Ming Li, Ke Wu, Geguang Pu, Gwo‐Jen Hwang, Weiming Yang, Guozhu Meng and Yao Yao and has published in prestigious journals such as Scientific Reports, Computers & Education and ACM Computing Surveys.

In The Last Decade

Yuting Chen

63 papers receiving 1.2k citations

Hit Papers

Guided, stochastic model-based GUI testing of Android apps 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Chen China 17 553 509 343 256 206 67 1.2k
Elena L. Glassman United States 18 254 0.5× 503 1.0× 61 0.2× 482 1.9× 81 0.4× 59 1.3k
Gennaro Costagliola Italy 18 398 0.7× 474 0.9× 85 0.2× 411 1.6× 123 0.6× 137 1.1k
Joel Brandt United States 21 269 0.5× 828 1.6× 83 0.2× 389 1.5× 148 0.7× 44 1.8k
Kajal Claypool United States 16 93 0.2× 453 0.9× 138 0.4× 278 1.1× 551 2.7× 50 1.4k
Andrew J. Ko United States 11 406 0.7× 866 1.7× 54 0.2× 276 1.1× 245 1.2× 26 1.1k
Andreas Stefik United States 17 283 0.5× 544 1.1× 49 0.1× 227 0.9× 72 0.3× 60 984
Michał Moskal United States 16 155 0.3× 222 0.4× 65 0.2× 220 0.9× 120 0.6× 46 674
Thomas D. LaToza United States 17 434 0.8× 1.3k 2.6× 105 0.3× 335 1.3× 270 1.3× 57 1.7k
David Wolber United States 13 75 0.1× 251 0.5× 144 0.4× 200 0.8× 260 1.3× 25 780
Andrea Mocci Switzerland 17 241 0.4× 773 1.5× 89 0.3× 289 1.1× 183 0.9× 61 975

Countries citing papers authored by Yuting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Chen. A scholar is included among the top collaborators of Yuting Chen 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 Yuting Chen. Yuting Chen 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.
Li, Ming, et al.. (2025). ReFNet: Rehearsal-based graph lifelong learning with multi-resolution framelet graph neural networks. Information Sciences. 700. 121856–121856. 1 indexed citations
2.
Li, Yihao, et al.. (2025). Efficient crowd simulation in complex environment using deep reinforcement learning. Scientific Reports. 15(1). 5403–5403. 2 indexed citations
4.
Liu, Jie, et al.. (2025). Evaluation of the therapeutic significance of Glehniae Radix polysaccharides on the ulcerative colitis through DSS-induced rat model. Food Science and Human Wellness. 15(1). 9250458–9250458. 1 indexed citations
5.
Li, Ming, et al.. (2024). EduCross: Dual adversarial bipartite hypergraph learning for cross-modal retrieval in multimodal educational slides. Information Fusion. 109. 102428–102428. 36 indexed citations
6.
Chen, Yuting, et al.. (2024). Understanding the dynamics of motivation and learning behaviors in augmented reality-based writing courses. Education and Information Technologies. 30(6). 6951–6985. 6 indexed citations
7.
Chen, Yuting, et al.. (2024). Effectiveness of AR-Based Formative Peer Assessment on Chinese Writing Performance of Students with Different Cognitive Styles. Sustainability. 16(22). 9657–9657. 1 indexed citations
8.
Li, Ming, Yuting Chen, Changqin Huang, Gwo‐Jen Hwang, & Mutlu Cukurova. (2023). From motivational experience to creative writing: A motivational AR-based learning approach to promoting Chinese writing performance and positive writing behaviours. Computers & Education. 202. 104844–104844. 26 indexed citations
9.
Chen, Yuting, Ming Li, & Mutlu Cukurova. (2023). Unleashing imagination: an effective pedagogical approach to integrate into spherical video-based virtual reality to improve students’ creative writing. Education and Information Technologies. 29(6). 6499–6523. 14 indexed citations
10.
Chen, Yuting, Ming Li, Mutlu Cukurova, & Morris Siu–Yung Jong. (2023). Incorporation of peer‐feedback into the pedagogical use of spherical video‐based virtual reality in writing education. British Journal of Educational Technology. 55(2). 519–540. 14 indexed citations
11.
Chen, Yuting, et al.. (2022). Promoting deep writing with immersive technologies: An SVVR ‐supported Chinese composition writing approach for primary schools. British Journal of Educational Technology. 53(6). 2071–2091. 40 indexed citations
12.
Chen, Yuting, et al.. (2020). From experiencing to expressing: A virtual reality approach to facilitating pupils’ descriptive paper writing performance and learning behavior engagement. British Journal of Educational Technology. 52(2). 807–823. 83 indexed citations
13.
Chen, Yuting, et al.. (2020). Not Standing at the Same Starting Line: Investigation of Prior Programming Experience on Student Performance in an Introductory Programming Course in ECE. 2020 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
14.
Chen, Yuting, Ting Su, & Zhendong Su. (2019). Deep Differential Testing of JVM Implementations. 1257–1268. 63 indexed citations
15.
Jiang, Lingxiao, et al.. (2018). Poster: LibraryGuru: API Recommendation for Android Developers. International Conference on Software Engineering. 1 indexed citations
16.
Su, Ting, Guozhu Meng, Yuting Chen, et al.. (2017). Guided, stochastic model-based GUI testing of Android apps. 245–256. 251 indexed citations breakdown →
17.
Chen, Yuting, Jason Cong, Zhenman Fang, Jie Lei, & Peng Wei. (2016). When Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration. 29–29. 35 indexed citations
18.
Chen, Yuting, Jason Cong, Zhenman Fang, Jie Lei, & Peng Wei. (2016). When apache spark meets FPGAs: a case study for next-generation DNA sequencing acceleration. IEEE International Conference on Cloud Computing Technology and Science. 64–70. 28 indexed citations
19.
Chen, Yuting, Jason Cong, & Glenn Reinman. (2011). HC-Sim. 295–304. 9 indexed citations
20.
Lan, Cheng‐Che E., Chien‐Te Lin, Gwo‐Shing Chen, et al.. (2003). Tacrolimus Ointment for the Treatment of Atopic Dermatitis: Report of First Clinical Experience in Taiwan. The Kaohsiung Journal of Medical Sciences. 19(6). 296–303. 9 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.

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