May Liu

16 papers receiving 362 citations

Peers

May Liu
Comparison fields: 5 of 72
  • Developmental and Educational Psychology 90
  • Information Systems 158
  • Health Informatics 6
  • Computer Science Applications 25
  • Language and Linguistics 45
Replace Shu-Chu Chen with:
Shu-Chu Chen Taiwan
Normaliza Abd Rahim Malaysia
Marc J Riemer Germany
Karin Danielsson Sweden
Sang Hun Song South Korea
Kathryn MacCallum New Zealand
Noor Christoph Netherlands
Yvonne Ho Singapore
Francisco Sendra‐Portero Spain
Mohd Haniff Mohd Tahir Malaysia
May Liu relative to Shu-Chu Chen Taiwan Shu-Chu Chen's profile →
Citations per field
00.5×3.5×
Shu-Chu Chen · 1×
Citations per year

Countries citing papers authored by May Liu

Since Specialization
Citations

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

Fields of papers citing papers by May Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside May Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with May Liu Line = papers co-authored together May Liu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Students' Personal and Social Meaning Making in a Chinese Idiom Mobile Learning Environment
2010139
2 201550
3 201645
4 200545
5 201723
6 201919
7 201219
8 201119
9 201811
10
Students' meaning making in a mobile assisted Chinese idiom learning environment
201010
11 20077
12 20224
13 20163
14 20191
15
SAMPLE DESIGN AND ESTIMATION OF LIFESPANS OF FEDERAL RESERVE NOTES
20031
16
Fostering a cross-contextual language learning practice through social media creation and social interaction processes
20151
17
Implications of students’ vocabulary growth in a seamless language learning environment mediated by handhelds and social media
20151

About May Liu

May Liu is a scholar working on Information Systems, Language and Linguistics, Surgery, Developmental and Educational Psychology and Education, having authored 17 papers that have together received 398 indexed citations. Recurring topics across this work include Mobile Learning in Education (6 papers), EFL/ESL Teaching and Learning (5 papers), Surgical Simulation and Training (4 papers), Innovative Teaching and Learning Methods (4 papers), Anatomy and Medical Technology (2 papers), Digital Communication and Language (2 papers), Education and Technology Integration (2 papers) and Second Language Learning and Teaching (1 paper). The work is most often cited by research in Developmental and Educational Psychology (90 citations), Information Systems (158 citations), Health Informatics (6 citations), Computer Science Applications (25 citations) and Language and Linguistics (45 citations). May Liu has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Lung-Hsiang Wong, Myriam J. Curet, Ching Sing Chai, Lung Hsiang Wong, Ronnel B. King, Jian Liu, Michael B. Duncan, Mahdi Azizian, Simon DiMaio and Usha Kreaden. Their work appears in journals such as Teaching and Learning in Medicine, Instructional Science, Canadian Journal of Emergency Medicine, Biochemical and Biophysical Research Communications and Educational Technology & Society.

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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