May Liu

472 total citations
12 papers, 286 citations indexed

About

May Liu is a scholar working on Information Systems, Developmental and Educational Psychology and Surgery. According to data from OpenAlex, May Liu has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Developmental and Educational Psychology and 3 papers in Surgery. Recurrent topics in May Liu's work include Innovative Teaching and Learning Methods (4 papers), Mobile Learning in Education (4 papers) and Surgical Simulation and Training (3 papers). May Liu is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Mobile Learning in Education (4 papers) and Surgical Simulation and Training (3 papers). May Liu collaborates with scholars based in United States, Hong Kong and Singapore. May Liu's co-authors include Lung-Hsiang Wong, Myriam J. Curet, Jian Liu, Lung Hsiang Wong, Ching Sing Chai, Ronnel B. King, Michael B. Duncan, Usha Kreaden, Sean O. Henderson and Greg Hager and has published in prestigious journals such as Blood, Biochemical and Biophysical Research Communications and Surgical Endoscopy.

In The Last Decade

May Liu

11 papers receiving 260 citations

Peers

May Liu

IS

DEP

SURGE

EDUCA

BE

Yvonne Ho Singapore

Anitta Mahonen Finland

Yu-chen Hsu Taiwan

A. Andersson Sweden

Olivier Bill Switzerland

Ryu Iida Japan

Kun Yuan China

Jeongyeon Park South Korea

Margot McNeill Australia

Yvonne Ho Singapore

May Liu

40 ×0.4

IS

49 ×0.7

DEP

15 ×0.2

SURGE

32 ×0.6

EDUCA

23 ×0.4

BE

Citations per year, relative to May Liu May Liu (= 1×) peers Yvonne Ho

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-authorship network of co-authors of May Liu

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

All Works

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12 of 12 papers shown

1.

Knee, Deborah, Feng Gao, Keith G. Mansfield, et al.. (2022). A Novel Antibody-Drug Conjugate Targeting CCR7 in Hematologic Malignancies. Blood. 140(Supplement 1). 11564–11565. 4 indexed citations

2.

Liu, May, et al.. (2017). Assessment of Robotic Console Skills (ARCS): construct validity of a novel global rating scale for technical skills in robotically assisted surgery. Surgical Endoscopy. 32(1). 526–535. 21 indexed citations

3.

Wong, Lung Hsiang, Ronnel B. King, Ching Sing Chai, & May Liu. (2016). Seamlessly learning Chinese: contextual meaning making and vocabulary growth in a seamless Chinese as a second language learning environment. Instructional Science. 44(5). 399–422. 38 indexed citations

4.

Liu, May & Myriam J. Curet. (2015). A Review of Training Research and Virtual Reality Simulators for the da Vinci Surgical System. Teaching and Learning in Medicine. 27(1). 12–26. 40 indexed citations

5.

Wong, Lung Hsiang, et al.. (2015). Fostering a cross-contextual language learning practice through social media creation and social interaction processes. 1 indexed citations

6.

Wong, Lung-Hsiang, Ching Sing Chai, Ronnel B. King, & May Liu. (2015). Implications of students’ vocabulary growth in a seamless language learning environment mediated by handhelds and social media. 319–328. 1 indexed citations

7.

Jog, Amod, May Liu, Simon DiMaio, et al.. (2011). Towards integrating task information in skills assessment for dexterous tasks in surgery and simulation. 18. 5273–5278. 19 indexed citations

8.

Wong, Lung-Hsiang, et al.. (2010). Students' Personal and Social Meaning Making in a Chinese Idiom Mobile Learning Environment. Educational Technology & Society. 13(4). 15–26. 108 indexed citations

9.

Wong, Lung-Hsiang, et al.. (2010). Students' meaning making in a mobile assisted Chinese idiom learning environment. 349–356. 7 indexed citations

10.

Liu, May & Sean O. Henderson. (2007). Myth: Nephrolithiasis and medical expulsive therapy. Canadian Journal of Emergency Medicine. 9(6). 463–465. 7 indexed citations

11.

Duncan, Michael B., et al.. (2005). Characterization of the N-deacetylase domain from the heparan sulfate N-deacetylase/N-sulfotransferase 2. Biochemical and Biophysical Research Communications. 339(4). 1232–1237. 39 indexed citations

12.

Liu, May, et al.. (2003). SAMPLE DESIGN AND ESTIMATION OF LIFESPANS OF FEDERAL RESERVE NOTES. 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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