Ying Cui

3.6k total citations
115 papers, 2.5k citations indexed

About

Ying Cui is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Ying Cui has authored 115 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Management Science and Operations Research and 16 papers in Computer Science Applications. Recurrent topics in Ying Cui's work include Online Learning and Analytics (15 papers), Psychometric Methodologies and Testing (13 papers) and Intelligent Tutoring Systems and Adaptive Learning (10 papers). Ying Cui is often cited by papers focused on Online Learning and Analytics (15 papers), Psychometric Methodologies and Testing (13 papers) and Intelligent Tutoring Systems and Adaptive Learning (10 papers). Ying Cui collaborates with scholars based in Canada, China and United States. Ying Cui's co-authors include Hidetoshi Kita, Ken‐ichi Okamoto, Rauno Parrila, Fu Chen, Jennifer Dy, Mark J. Gierl, Jacqueline P. Leighton, Kazuhiro Tanaka, George K. Georgiou and Timothy C. Papadopoulos and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and Chemical Communications.

In The Last Decade

Ying Cui

104 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Cui Canada 28 471 449 391 350 290 115 2.5k
David C. Miller United States 29 776 1.6× 149 0.3× 183 0.5× 69 0.2× 317 1.1× 130 5.0k
Juergen Sauer Switzerland 35 214 0.5× 68 0.2× 281 0.7× 272 0.8× 68 0.2× 142 5.4k
Jun Jo Australia 25 253 0.5× 73 0.2× 341 0.9× 100 0.3× 94 0.3× 131 2.5k
Jenny Liu United States 29 238 0.5× 114 0.3× 202 0.5× 22 0.1× 134 0.5× 167 4.4k
Yiyun Zhang China 35 155 0.3× 208 0.5× 183 0.5× 36 0.1× 282 1.0× 167 4.1k
Martin Davies Australia 22 128 0.3× 372 0.8× 63 0.2× 277 0.8× 919 3.2× 68 2.2k
David A. Summers United States 21 77 0.2× 139 0.3× 158 0.4× 240 0.7× 44 0.2× 85 1.6k
Liang Chen China 27 573 1.2× 69 0.2× 189 0.5× 32 0.1× 529 1.8× 124 3.5k
Tae Wan Kim South Korea 28 231 0.5× 107 0.2× 86 0.2× 11 0.0× 80 0.3× 198 2.5k
Shan Li China 24 58 0.1× 668 1.5× 234 0.6× 28 0.1× 533 1.8× 126 2.4k

Countries citing papers authored by Ying Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Cui. A scholar is included among the top collaborators of Ying Cui 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 Ying Cui. Ying Cui 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.
Bulut, Okan, et al.. (2025). Advancing higher education students’ assessment experiences with conversational agents. Educational Technology Research and Development. 73(3). 1811–1834.
2.
Chen, Fu, et al.. (2025). Does ICT matter for complex problem-solving competency? A multilevel analysis of 33 countries and economies. Thinking Skills and Creativity. 57. 101805–101805. 1 indexed citations
4.
Zeng, Zhi, et al.. (2024). Advancing China’s Disease Control and Prevention System: A Strategic Roadmap for High-Quality Development. China CDC Weekly. 6(38). 975–978. 1 indexed citations
5.
Gao, Shengjun, Yunhao Chen, Deliang Chen, et al.. (2024). Urbanization-induced warming amplifies population exposure to compound heatwaves but narrows exposure inequality between global North and South cities. npj Climate and Atmospheric Science. 7(1). 35 indexed citations
6.
Epp, Carrie Demmans, et al.. (2023). Design and Evaluation of a Conversational Agent for Formative Assessment in Higher Education. Proceedings.. 194–201. 1 indexed citations
7.
Chen, Fu, et al.. (2023). Validating a novel digital performance-based assessment of data literacy: Psychometric and eye-tracking analyses. Education and Information Technologies. 29(8). 9417–9444. 2 indexed citations
8.
Cui, Ying, et al.. (2022). Estimating Maize Yield in the Black Soil Region of Northeast China Using Land Surface Data Assimilation: Integrating a Crop Model and Remote Sensing. Frontiers in Plant Science. 13. 915109–915109. 12 indexed citations
9.
Chen, Fu, Ying Cui, & Man-Wai Chu. (2020). Utilizing Game Analytics to Inform and Validate Digital Game-based Assessment with Evidence-centered Game Design: A Case Study. International Journal of Artificial Intelligence in Education. 30(3). 481–503. 26 indexed citations
10.
Cui, Ying, et al.. (2016). Digital Evaluation of Orbital Cyst Associated with Microphthalmos: Characteristics and Their Relationship with Orbital Volume. PLoS ONE. 11(6). e0157819–e0157819. 8 indexed citations
12.
Chu, Man-Wai, Оксана Бабенко, Ying Cui, & Jacqueline P. Leighton. (2014). Using HLM to Explore the Effects of Perceptions of Learning Environments and Assessments on Students’ Test Performance. International Journal of Testing. 14(2). 95–121. 3 indexed citations
13.
Cui, Ying, et al.. (2013). Simulation Studies for Evaluating the Performance of the Two Classification Methods in the AHM. 3 indexed citations
14.
Cui, Ying, et al.. (2013). A Genetic Algorithm- Back Propagation Artificial Neural Network Model to Quantify the Affinity of Flavonoids Toward P-Glycoprotein. Combinatorial Chemistry & High Throughput Screening. 17(2). 162–172. 13 indexed citations
15.
Parrila, Rauno, et al.. (2012). Meta-Analysis of Social Skills Interventions of Single-Case Research for Individuals with Autism Spectrum Disorders: Results from Three-Level HLM. Journal of Autism and Developmental Disorders. 43(7). 1701–1716. 48 indexed citations
16.
Olson, Kärin, W. Todd Rogers, Ying Cui, et al.. (2011). Development and psychometric testing of the Adaptive Capacity Index, an instrument to measure adaptive capacity in individuals with advanced cancer. International Journal of Nursing Studies. 48(8). 986–994. 8 indexed citations
17.
Hayduk, Leslie A., Kärin Olson, Hue Quan, Marilyn Cree, & Ying Cui. (2010). Temporal changes in the causal foundations of palliative care symptoms. Quality of Life Research. 19(3). 299–306. 15 indexed citations
18.
Chan, Wai, et al.. (2010). Bootstrap standard error and confidence intervals for the correlations corrected for indirect range restriction. British Journal of Mathematical and Statistical Psychology. 64(3). 367–387. 19 indexed citations
19.
Gierl, Mark J., et al.. (2008). Using Connectionist Models to Evaluate Examinees’ Response Patterns to Achievement Tests. Journal of Modern Applied Statistical Methods. 7(1). 234–245. 18 indexed citations
20.
Cui, Ying, Jennifer Dy, Brian M. Alexander, & Steve Jiang. (2008). Fluoroscopic gating without implanted fiducial markers for lung cancer radiotherapy based on support vector machines. Physics in Medicine and Biology. 53(16). N315–N327. 35 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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