Lan Li

37 papers receiving 593 citations

Peers

Lan Li
Comparison fields: 5 of 115
  • Tourism, Leisure and Hospitality Management 53
  • Health 97
  • Gender Studies 68
  • Health Informatics 9
  • Organizational Behavior and Human Resource Management 70
Replace Kim Williams with:
Kim Williams United States
Hulda G. Black United States
Mariann Hardey United Kingdom
Yan Tian United States
Tobias Gummer Germany
David R. Eppright United States
Martin French Canada
Kate Smith United Kingdom
Matthew Boswell United States
Sonja Bidmon Austria
Lan Li relative to Kim Williams United States Kim Williams's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lan Li

Since Specialization
Citations

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

Fields of papers citing papers by Lan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan 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 Lan Li Line = papers co-authored together Lan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200195
2 200063
3 202162
4 201048
5 202341
6 202133
7 202031
8 199825
9 202120
10 202320
11 199619
12 202218
13 202118
14 202216
15
Perceptions of Web-mediated Peer Assessment
200615
16 200513
17 202412
18
Constructing Different Concept Images of Sequences & Limits by Programming
199912
19 20228
20 20247

About Lan Li

Lan Li is a scholar working on Education, Health, Sociology and Political Science, Epidemiology and Artificial Intelligence, having authored 41 papers that have together received 629 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (7 papers), Ethics and Social Impacts of AI (4 papers), COVID-19 and Mental Health (3 papers), Reflective Practices in Education (3 papers), Student Assessment and Feedback (3 papers), Innovative Teaching and Learning Methods (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Psychological Well-being and Life Satisfaction (2 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (53 citations), Health (97 citations), Gender Studies (68 citations), Health Informatics (9 citations) and Organizational Behavior and Human Resource Management (70 citations). Lan Li has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Patty Kostkova, Caroline E Wood, Hailin Qu, Allen L. Steckelberg, Eliza Ching‐Yick Tse, Liuqing Yang, Leesa Lin, Nitin Verma, Qiang Wang and Kenneth R. Fleischmann. Their work appears in journals such as Frontiers in Public Health, PLoS ONE, Human Vaccines & Immunotherapeutics, Tourism Management and International Journal of Hospitality Management.

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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