Nai Li

21 papers receiving 1.1k citations

Nai Li's Hit Papers

Gender and cultural differences in Internet use: A study of China and the UK 2005 · 431 citations
4310+7+14Years since publication100200300400

Peers

Nai Li
Comparison fields: 5 of 122
  • Human-Computer Interaction 159
  • Gender Studies 234
  • Computer Science Applications 120
  • Information Systems and Management 147
  • Communication 100
Replace Cédric Courtois with:
Cédric Courtois Belgium
Rachelle S. Heller United States
Yong‐Ming Huang Taiwan
Jongpil Cheon United States
Vasileios Terzis Greece
Jingjing Zhang China
Ruth V. Small United States
Hsiu‐Ping Yueh Taiwan
Jingying Wang China
Qin Gao China
Nai Li relative to Cédric Courtois Belgium Cédric Courtois's profile →
Citations per field
00.5×3.6×
Cédric Courtois · 1×
Citations per year

Countries citing papers authored by Nai Li

Since Specialization
Citations

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

Fields of papers citing papers by Nai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Nai Li, 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 Nai Li Line = papers co-authored together Nai Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gender and cultural differences in Internet use: A study of China and the UK
Hit paper breakdown →
2005431
2 2013235
3 201483
4 201477
5 201672
6 201642
7 200139
8 201836
9 201133
10 200625
11 201115
12 202013
13 201512
14 201112
15 200911
16 20209
17 20115
18 20194
19 20202
20
Primary study on the "Sanhe Tu" from the Haizi and Weizi Emplacements in Tianjing Dagu site
20082

About Nai Li

Nai Li is a scholar working on Sociology and Political Science, Information Systems, Education, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (5 papers), Mobile Learning in Education (5 papers), Chromatography in Natural Products (4 papers), Online and Blended Learning (3 papers), Virtual Reality Applications and Impacts (3 papers), Innovative Teaching and Learning Methods (3 papers), Augmented Reality Applications (3 papers) and Gender and Technology in Education (2 papers). The work is most often cited by research in Human-Computer Interaction (159 citations), Gender Studies (234 citations), Computer Science Applications (120 citations), Information Systems and Management (147 citations) and Communication (100 citations). Nai Li has collaborated with scholars based in United Kingdom, China and Singapore. Frequent co-authors include Gill Kirkup, Henry Been‐Lirn Duh, Tzung‐Jin Lin, Chin‐Chung Tsai, Xueli Cao, Chen Fan, Bart Rienties, Robert McCormick, Barbara Hodgson and William H. Dutton. Their work appears in journals such as Computers & Education, Journal of Separation Science, Journal of Science Education and Technology, Learning Media and Technology and Food Chemistry.

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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