Su Liang

409 total citations
15 papers, 287 citations indexed

About

Su Liang is a scholar working on Education, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Su Liang has authored 15 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Education, 5 papers in Statistics and Probability and 2 papers in Artificial Intelligence. Recurrent topics in Su Liang's work include Mathematics Education and Teaching Techniques (8 papers), Statistics Education and Methodologies (3 papers) and Teacher Education and Leadership Studies (3 papers). Su Liang is often cited by papers focused on Mathematics Education and Teaching Techniques (8 papers), Statistics Education and Methodologies (3 papers) and Teacher Education and Leadership Studies (3 papers). Su Liang collaborates with scholars based in United States and China. Su Liang's co-authors include Marc Walter, Somnath Ghosh, Peter J. Hornsby, Rong Li, Peng Zou, Thomas C. DeFranco, Yan Jia, C. Vinsonhaler, Robin S. Grenier and Sarah Glaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and American Journal of Hematology.

In The Last Decade

Su Liang

11 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Liang United States 4 168 82 72 65 43 15 287
Elaine Wiegert United States 7 76 0.5× 64 0.8× 59 0.8× 40 0.6× 33 0.8× 9 313
Matthew Cunningham United Kingdom 8 231 1.4× 115 1.4× 43 0.6× 20 0.3× 26 0.6× 13 340
Seog Young Kim South Korea 7 203 1.2× 129 1.6× 77 1.1× 26 0.4× 68 1.6× 9 327
Joycelyn Jie Xin Lee Singapore 11 239 1.4× 112 1.4× 60 0.8× 14 0.2× 45 1.0× 35 479
Tobias Dreyer Germany 12 163 1.0× 170 2.1× 133 1.8× 41 0.6× 115 2.7× 31 399
Yasuyuki Kaneta Japan 8 75 0.4× 174 2.1× 39 0.5× 44 0.7× 39 0.9× 10 290
Jonathan C. Pang United States 10 94 0.6× 145 1.8× 54 0.8× 24 0.4× 16 0.4× 39 324
Luigia Rao Italy 8 158 0.9× 227 2.8× 68 0.9× 38 0.6× 55 1.3× 10 390
Jesús Gil‐Pulido Germany 7 117 0.7× 116 1.4× 44 0.6× 7 0.1× 121 2.8× 9 303
Michela Palleschi Italy 9 189 1.1× 75 0.9× 75 1.0× 41 0.6× 38 0.9× 46 281

Countries citing papers authored by Su Liang

Since Specialization
Citations

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

Fields of papers citing papers by Su Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Su Liang. A scholar is included among the top collaborators of Su Liang 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 Su Liang. Su Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Chen, Xiao Dong, et al.. (2024). Reflective optical mirror group assembly process optimization method based on accurate digital twin. Procedia CIRP. 127. 153–158. 1 indexed citations
2.
3.
Liang, Su. (2022). Habits of Mathematical Thinking and Development of Heuristics. 3(1). ep22002–ep22002.
4.
Liang, Su. (2021). Deepening Mathematics Learning by Making Variation Available in Teaching. Journal of Higher Education Theory and Practice. 21(12). 1 indexed citations
5.
Liang, Su, et al.. (2019). Improving our practice as mathematics teacher educators through teaching research. SHILAP Revista de lepidopterología. 13(2). 3 indexed citations
6.
7.
Liang, Su. (2018). Helping college students claim ownership of their mathematics learning. European Journal of Science and Mathematics Education. 6(2). 36–43. 1 indexed citations
8.
Liang, Su, Sarah Glaz, & Thomas C. DeFranco. (2016). Investigating Characteristics of Award-Winning Grades 7-12 Mathematics Teachers from the Shandong Province in China. SHILAP Revista de lepidopterología.
9.
10.
Liang, Su. (2013). An Example of Coherent Mathematics Lesson. Universal Journal of Educational Research. 1(2). 57–64. 1 indexed citations
11.
Liang, Su, et al.. (2012). An examination of the preparation and practice of grades 7–12 mathematics teachers from the Shandong Province in China. Journal of Mathematics Teacher Education. 16(2). 149–160. 5 indexed citations
12.
Liang, Su. (2012). Open Class–an Important Component of Teachers’ in-Service Training in China. 1(1). 1–5. 10 indexed citations
13.
Liang, Su. (2010). An investigation of the preparation of award-winning grades 7--12 mathematics teachers from the Shandong province of China. American Journal of Hematology. 11(3). 255–9. 1 indexed citations
14.
Walter, Marc, Su Liang, Somnath Ghosh, Peter J. Hornsby, & Rong Li. (2009). Interleukin 6 secreted from adipose stromal cells promotes migration and invasion of breast cancer cells. Oncogene. 28(30). 2745–2755. 256 indexed citations
15.
Zou, Peng, et al.. (2008). Fast similarity matching on data stream with noise. 194–199. 7 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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