Liang See Tan

460 total citations
24 papers, 270 citations indexed

About

Liang See Tan is a scholar working on Education, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Liang See Tan has authored 24 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 7 papers in Experimental and Cognitive Psychology and 4 papers in Sociology and Political Science. Recurrent topics in Liang See Tan's work include Teacher Education and Leadership Studies (10 papers), Education, Achievement, and Giftedness (5 papers) and Creativity in Education and Neuroscience (4 papers). Liang See Tan is often cited by papers focused on Teacher Education and Leadership Studies (10 papers), Education, Achievement, and Giftedness (5 papers) and Creativity in Education and Neuroscience (4 papers). Liang See Tan collaborates with scholars based in Singapore, Taiwan and Canada. Liang See Tan's co-authors include Elizabeth Koh, Shu‐Shing Lee, Alfredo Bautista, Christopher M. Tan, Wenshu Luo, Berinderjeet Kaur, David Hogan, Pak Tee Ng, Melvin Chan and Irene Tan and has published in prestigious journals such as British Journal of Educational Studies, The Journal of Educational Research and Journal of Curriculum Studies.

In The Last Decade

Liang See Tan

23 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liang See Tan Singapore	10	153	83	56	31	27	24	270
J. Manuel Australia	9	374 2.4×	30 0.4×	78 1.4×	22 0.7×	40 1.5×	25	447
Janet Looney France	8	161 1.1×	75 0.9×	18 0.3×	36 1.2×	23 0.9×	15	272
Kristy S. Cooper United States	6	277 1.8×	32 0.4×	48 0.9×	39 1.3×	43 1.6×	11	352
Margaret Baguley Australia	9	152 1.0×	30 0.4×	26 0.5×	15 0.5×	66 2.4×	65	306
Robert F. Cavanagh Australia	10	272 1.8×	39 0.5×	49 0.9×	87 2.8×	29 1.1×	24	389
Lyn McDonald New Zealand	8	205 1.3×	54 0.7×	55 1.0×	41 1.3×	24 0.9×	14	277
Farhad Ghiasvand Iran	12	173 1.1×	37 0.4×	185 3.3×	93 3.0×	15 0.6×	24	465
Rosanne Zwart Netherlands	11	393 2.6×	19 0.2×	57 1.0×	145 4.7×	32 1.2×	15	475
Tamra Stambaugh United States	9	393 2.6×	220 2.7×	55 1.0×	116 3.7×	28 1.0×	28	525
M. Kay Alderman United States	8	261 1.7×	61 0.7×	88 1.6×	126 4.1×	29 1.1×	12	409

Countries citing papers authored by Liang See Tan

Since Specialization

Citations

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

Fields of papers citing papers by Liang See Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang See Tan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tay, Lee Yong, et al.. (2022). Teacher reflection – call for a transformative mindset. Reflective Practice. 24(1). 27–44. 9 indexed citations

Tan, Liang See, et al.. (2021). Peer abusive supervision and third-party employee creativity from a social exchange theory perspective. Social Behavior and Personality An International Journal. 49(5). 1–12. 10 indexed citations

Tan, Liang See. (2019). East-Asian primary science curricula: an overview using revised Bloom’s taxonomy. Asia Pacific Journal of Education. 39(1). 154–155.

Tan, Liang See, et al.. (2019). Leadership of professional learning communities in Singapore schools: The tight–loose balance. Educational Management Administration & Leadership. 48(4). 635–650. 17 indexed citations

Tan, Liang See, et al.. (2017). Contextualizing Teacher Efficacy in a High-Performing System: A Research Agenda. British Journal of Educational Studies. 65(3). 385–403. 4 indexed citations

Tan, Liang See, et al.. (2017). The complexities in fostering critical thinking through school-based curriculum innovation: research evidence from Singapore. Asia Pacific Journal of Education. 37(4). 517–534. 23 indexed citations

Tan, Liang See, et al.. (2017). A study on developing teacher leadership and engendering an emerging teacher-led culture. 1 indexed citations

Tan, Liang See, et al.. (2016). A qualitative inquiry on sources of teacher efficacy in teaching low-achieving students. The Journal of Educational Research. 110(2). 140–150. 27 indexed citations

Tan, Liang See, et al.. (2016). Fostering Creativity in the Classroom for High Ability Students: Context Does Matter. Education Sciences. 6(4). 36–36. 27 indexed citations

10.

Tan, Liang See, et al.. (2016). Curriculum for High Ability Learners. DIAL (Catholic University of Leuven). 2 indexed citations

11.

Tan, Liang See, et al.. (2015). Teachers' versus Parents' Perceptions of Professionalism of Early Childhood Teachers: A Mixed-Methods Study. Australasian Journal of Early Childhood. 40(2). 117–126. 1 indexed citations

12.

Tan, Liang See, et al.. (2015). Unpacking high and low efficacy teachers’ task analysis and competence assessment in teaching low-achieving students in secondary schools. The Australian Educational Researcher. 43(2). 165–183. 3 indexed citations

13.

Bautista, Alfredo, et al.. (2015). Curriculum integration in arts education: connecting multiple art forms through the idea of ‘space’. Journal of Curriculum Studies. 48(5). 610–629. 34 indexed citations

14.

Koh, Elizabeth, et al.. (2014). A Singapore Case Study of Curriculum Innovation in the Twenty-First Century: Demands, Tensions and Deliberations. The Asia-Pacific Education Researcher. 23(4). 851–860. 9 indexed citations

15.

Tan, Christopher M. & Liang See Tan. (2013). The Role of Optimism, Self-Esteem, Academic Self-Efficacy and Gender in High-Ability Students. The Asia-Pacific Education Researcher. 23(3). 621–633. 17 indexed citations

16.

Tan, Liang See, et al.. (2013). Perfectionism and Academic Emotions of Gifted Adolescent Girls. The Asia-Pacific Education Researcher. 23(3). 389–401. 9 indexed citations

17.

Tan, Liang See, et al.. (2012). Identifying domains of ideas to influence early childhood teachers’ beliefs in globalisation: a mixed-method study. Early Child Development and Care. 183(2). 247–264. 2 indexed citations

18.

Liu, Dan, et al.. (2012). Research on the Model Consumption Behavior and Social Networks Role of Digital Music. Journal of Software. 7(6). 2 indexed citations

19.

Tan, Liang See, et al.. (2011). Soul Behind the Skill, Heart Behind the Technique. Gifted Child Quarterly. 55(3). 194–207. 22 indexed citations

20.

Lim, Tock Keng & Liang See Tan. (1997). A pull-out gifted programme in Singapore. Gifted Education International. 12(1). 43–46. 1 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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