Ying Cheng

3.7k total citations · 1 hit paper
115 papers, 2.3k citations indexed

About

Ying Cheng is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Ying Cheng has authored 115 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Management Science and Operations Research, 24 papers in Computer Networks and Communications and 21 papers in Statistics and Probability. Recurrent topics in Ying Cheng's work include Psychometric Methodologies and Testing (43 papers), Advanced Statistical Modeling Techniques (22 papers) and Online Learning and Analytics (11 papers). Ying Cheng is often cited by papers focused on Psychometric Methodologies and Testing (43 papers), Advanced Statistical Modeling Techniques (22 papers) and Online Learning and Analytics (11 papers). Ying Cheng collaborates with scholars based in United States, China and Germany. Ying Cheng's co-authors include Nian Cai Liu, Ke‐Hai Yuan, James Oxley, Hua‐Hua Chang, Cheng Liu, Jeffrey T. Steedle, Qi Wang, Ken Kelley, Frank K. Hwang and Teresa Ober and has published in prestigious journals such as Cancer, IEEE Transactions on Information Theory and Journal of Colloid and Interface Science.

In The Last Decade

Ying Cheng

108 papers receiving 2.0k citations

Hit Papers

The Academic Ranking of World Universities 2005 2026 2012 2019 2005 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Academic Ranking of World Universities
    2005 646 citations Nian Cai Liu, Ying Cheng profile →

Peers

Ying Cheng
Robert J. Mokken Netherlands
Andreas Klein Germany
Steven Andrew Culpepper United States
Matthias von Davier United States
Nambury S. Raju United States
Taizan Chan Australia
R. Kelly Rainer United States
Bernard P. Veldkamp Netherlands
Yutaka Kano Japan
Michael E. Doherty United States
Robert J. Mokken Netherlands
Ying Cheng
Citations per year, relative to Ying Cheng Ying Cheng (= 1×) peers Robert J. Mokken

Countries citing papers authored by Ying Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ying Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Cheng. A scholar is included among the top collaborators of Ying Cheng 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 Cheng. Ying Cheng 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.
Pei, Bo, et al.. (2024). LearningViz: a dashboard for visualizing, analyzing and closing learning performance gaps—a case study approach. Smart Learning Environments. 11(1). 1 indexed citations
2.
Cheng, Ying, et al.. (2024). Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies. Educational Measurement Issues and Practice. 1 indexed citations
3.
Cheng, Ying, et al.. (2024). Mature number sense predicts middle school students’ mathematics achievement.. Journal of Educational Psychology. 116(8). 1404–1420. 2 indexed citations
4.
Ober, Teresa, et al.. (2023). Development and Validation of a Cognitive Load Measure for General Educational Settings. Journal of Psychoeducational Assessment. 41(6). 689–708. 3 indexed citations
5.
Ober, Teresa, et al.. (2023). Disruptiveness of COVID-19: Differences in Course Engagement, Self-Appraisal, and Learning. AERA Open. 9. 1211518703–1211518703. 6 indexed citations
6.
Ober, Teresa, et al.. (2023). Leveraging performance and feedback‐seeking indicators from a digital learning platform for early prediction of students' learning outcomes. Journal of Computer Assisted Learning. 40(1). 219–240. 5 indexed citations
7.
Jean‐Pierre, Pascal, et al.. (2019). Patient Satisfaction with Navigator Interpersonal Relationship (PSN-I): item-level psychometrics using IRT analysis. Supportive Care in Cancer. 28(2). 541–550. 9 indexed citations
8.
Cheng, Ying, et al.. (2018). Sensitive scalp is associated with excessive sebum and perturbed microbiome. Journal of Cosmetic Dermatology. 18(3). 922–928. 18 indexed citations
9.
Cheng, Ying, et al.. (2016). Introducing Online Quizzes into Lab-Based Teaching in University. International Journal of Information and Education Technology. 7(8). 571–574. 2 indexed citations
10.
Cheng, Ying, et al.. (2016). A simplified version of the maximum information per time unit method in computerized adaptive testing. Behavior Research Methods. 49(2). 502–512. 14 indexed citations
11.
Cheng, Ying & Hua‐Hua Chang. (2014). Advancing Methodologies to Support Both Summative and Formative Assessments. 10 indexed citations
12.
Cheng, Ying, Qi Wang, & Nian Cai Liu. (2014). How world-class universities affect global higher education : influences and responses. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1–10. 6 indexed citations
13.
14.
Wang, Qi, Ying Cheng, & Nian Cai Liu. (2012). Building World-Class Universities: Different Approaches to a Shared Goal. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1–10. 30 indexed citations
15.
Cheng, Ying, et al.. (2012). Capitalization on chance in variable-length classification tests employing the Sequential Probability Ratio Test. 54(4). 432.
16.
Liu, Nian Cai, Qi Wang, & Ying Cheng. (2011). Paths to a World-Class University : lessons from practices and experiences. SensePublishers eBooks. 38 indexed citations
17.
Li, Bin, et al.. (2008). Developing a Database of Ancient Books on Health Preservation. Traditional Chinese Medicine. 30(4). 250–252. 1 indexed citations
18.
Cheng, Ying & James Oxley. (1987). On weakly symmetric graphs of order twice a prime. Journal of Combinatorial Theory Series B. 42(2). 196–211. 125 indexed citations
19.
Cheng, Ying. (1986). Switching classes of directed graphs and H-equivalent matrices. Discrete Mathematics. 61(1). 27–40. 1 indexed citations
20.
Cheng, Ying. (1981). On the projective characters of some finite groups of Lie type. UMI eBooks. 2 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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