Yan Ping Xin

2.6k total citations
82 papers, 1.7k citations indexed

About

Yan Ping Xin is a scholar working on Statistics and Probability, Education and Developmental and Educational Psychology. According to data from OpenAlex, Yan Ping Xin has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 41 papers in Education and 34 papers in Developmental and Educational Psychology. Recurrent topics in Yan Ping Xin's work include Cognitive and developmental aspects of mathematical skills (48 papers), Mathematics Education and Teaching Techniques (38 papers) and Behavioral and Psychological Studies (15 papers). Yan Ping Xin is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (48 papers), Mathematics Education and Teaching Techniques (38 papers) and Behavioral and Psychological Studies (15 papers). Yan Ping Xin collaborates with scholars based in United States, China and United Kingdom. Yan Ping Xin's co-authors include Asha K. Jitendra, Diane M. Browder, Dake Zhang, Luo Si, Casey Hord, Ron Tzur, Joo Young Park, Suleyman Cetintas, Hao Wen and Jia Liu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Review of Educational Research.

In The Last Decade

Yan Ping Xin

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Ping Xin United States 23 925 899 884 158 145 82 1.7k
Paul Ernest United Kingdom 28 337 0.4× 357 0.4× 1.4k 1.5× 50 0.3× 32 0.2× 126 2.9k
Carolyn A. Maher United States 20 680 0.7× 606 0.7× 1.7k 1.9× 19 0.1× 30 0.2× 75 2.0k
Eero Laakkonen Finland 16 183 0.2× 522 0.6× 497 0.6× 82 0.5× 12 0.1× 57 1.1k
Kira J. Carbonneau United States 15 166 0.2× 263 0.3× 423 0.5× 51 0.3× 35 0.2× 53 801
Vilma Mesa United States 15 223 0.2× 165 0.2× 662 0.7× 17 0.1× 40 0.3× 51 931
Patrick Gonzales United States 11 174 0.2× 242 0.3× 753 0.9× 22 0.1× 62 0.4× 24 1.2k
Robin H. Lock United States 14 293 0.3× 139 0.2× 304 0.3× 70 0.4× 115 0.8× 94 841
Leone Burton United Kingdom 16 239 0.3× 196 0.2× 727 0.8× 42 0.3× 30 0.2× 40 1.1k
Lorraine Graham Australia 17 96 0.1× 261 0.3× 383 0.4× 62 0.4× 60 0.4× 91 880
James H. Block United States 14 72 0.1× 450 0.5× 814 0.9× 40 0.3× 32 0.2× 24 1.3k

Countries citing papers authored by Yan Ping Xin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ping Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Ping Xin. 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 Yan Ping Xin. The network helps show where Yan Ping Xin may publish in the future.

Co-authorship network of co-authors of Yan Ping Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Ping Xin. A scholar is included among the top collaborators of Yan Ping Xin 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 Yan Ping Xin. Yan Ping Xin 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.
2.
Xin, Yan Ping, et al.. (2025). Conceptual Model-Based Problem Solving: An Evidence-Based Review for Students Who Are Struggling in Mathematics. Education Sciences. 15(12). 1664–1664.
3.
Xin, Yan Ping, et al.. (2025). Bridging language and mathematics: Scaffolding strategies for English learners with mathematics difficulties. The Journal of Educational Research. 1–11.
4.
5.
Xin, Yan Ping, et al.. (2024). A Meta-Analysis of Technology-Based Word-Problem Interventions for Students with Disabilities. Education Sciences. 14(12). 1372–1372. 1 indexed citations
6.
Xin, Yan Ping, et al.. (2024). Transforming fifth graders’ misconceptions in solving probability comparison problems with purposefully designed instructional interventions. Mathematical Thinking and Learning. 1–23. 1 indexed citations
7.
Saltini, Cesare, Yan Ping Xin, Andrew J. Ghio, et al.. (2023). Lung microhaemorrhage drives oxidative/inflammatory damage in α1-antitrypsin deficiency. ERJ Open Research. 9(3). 662–2022. 2 indexed citations
8.
Casas, Brian, Yue Li, Yan Ping Xin, et al.. (2023). Coexistence of Merons with Skyrmions in the Centrosymmetric Van Der Waals Ferromagnet Fe5–xGeTe2 (Adv. Mater. 17/2023). Advanced Materials. 35(17).
9.
Witzel, Bradley S., Sarah R. Powell, Hongli Li, et al.. (2022). A Meta-Analysis of Mathematics Word-Problem Solving Interventions for Elementary Students Who Evidence Mathematics Difficulties. Review of Educational Research. 92(5). 695–742. 31 indexed citations
10.
Xin, Yan Ping, et al.. (2020). Instructional Scaffolds in Mathematics Instruction for English Learners with Learning Disabilities: An Exploratory Case Study.. 18(1). 123–144. 9 indexed citations
11.
Zhang, Shengtai, et al.. (2019). A study of the tacit knowledge transmission model in a WeChat group. 40(2). 106. 1 indexed citations
12.
Xin, Yan Ping, et al.. (2018). Analyzing a Discourse of Scaffolds for Mathematics Instruction for an ELL with Learning Disabilities.. Proceedings of the ... PME Conference. 2 indexed citations
13.
Hord, Casey, et al.. (2013). DISTINGUISHING SCHEMES AND TASKS IN CHILDREN’S DEVELOPMENT OF MULTIPLICATIVE REASONING (Distinción de esquemas y tareas en el desarrollo del razonamiento multiplicativo de los niños). SHILAP Revista de lepidopterología. 17 indexed citations
14.
Xin, Yan Ping, et al.. (2012). Conceptual Model-Based Problem Solving That Facilitates Algebra Readiness: An Exploratory Study with Computer-Assisted Instruction. 18(2). 71–85. 6 indexed citations
15.
Tzur, Ron, et al.. (2011). Engendering multiplicative reasoning in students with learning disabilities in mathematics: Sam's computer-assisted transition to anticipatory unit differentiation-and-selection. Proceedings of the ... PME Conference. 2 indexed citations
16.
17.
Cetintas, Suleyman, Luo Si, Yan Ping Xin, Dake Zhang, & Joo Young Park. (2009). Automatic Text Categorization of Mathematical Word Problems. The Florida AI Research Society. 5 indexed citations
18.
Cetintas, Suleyman, Luo Si, Yan Ping Xin, & Casey Hord. (2009). Predicting Correctness of Problem Solving from Low-Level Log Data in Intelligent Tutoring Systems. Educational Data Mining. 2009(1). 230–239. 12 indexed citations
19.
Jitendra, Asha K., et al.. (1999). An Analysis of Four Middle School Geography Textbooks: Meeting the Needs of Students with Learning Problems.. Medical & Biological Engineering & Computing. 43(1). 11–5. 3 indexed citations
20.
Jitendra, Asha K. & Yan Ping Xin. (1997). Mathematical Word-Problem-Solving Instruction for Students with Mild Disabilities and Students at Risk for Math Failure. The Journal of Special Education. 30(4). 412–438. 66 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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