ShiNa Li

2.0k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

ShiNa Li is a scholar working on Sociology and Political Science, Marketing and Economics and Econometrics. According to data from OpenAlex, ShiNa Li has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Sociology and Political Science, 11 papers in Marketing and 10 papers in Economics and Econometrics. Recurrent topics in ShiNa Li's work include Diverse Aspects of Tourism Research (22 papers), Sport and Mega-Event Impacts (15 papers) and Sports, Gender, and Society (7 papers). ShiNa Li is often cited by papers focused on Diverse Aspects of Tourism Research (22 papers), Sport and Mega-Event Impacts (15 papers) and Sports, Gender, and Society (7 papers). ShiNa Li collaborates with scholars based in United Kingdom, China and Macao. ShiNa Li's co-authors include Haiyan Song, Jinah Park, Richard T.R. Qiu, Adam Blake, Chris Cooper, Lawrence Hoc Nang Fong, Carol Xiaoyue Zhang, Leo Jago, Scott McCabe and Calvin Jones and has published in prestigious journals such as Tourism Management, Annals of Tourism Research and Journal of Travel Research.

In The Last Decade

ShiNa Li

39 papers receiving 1.4k citations

Hit Papers

Social costs of tourism during the COVID-19 pandemic 2020 2026 2022 2024 2020 100 200 300 400

Peers

ShiNa Li
Comparison fields: 5 of 90
  • Sociology and Political Science 1.2k
  • Economics and Econometrics 383
  • Marketing 227
  • Transportation 209
  • Gender Studies 194
Jerome Agrusa United States
Serena Volo Italy
Glenn McCartney Macao
Szilvia Gyimóthy Denmark
Eli Avraham Israel
Twan Huybers Australia
Anna Leask United Kingdom
Jian Ming Luo Macao
Shih‐Shuo Yeh Taiwan
Liz Fredline Australia
Jerome Agrusa United States View profile →
Citations per field, relative to ShiNa Li
ShiNa Li · 1×
Citations per year, relative to ShiNa Li
ShiNa Li · 1×

Countries citing papers authored by ShiNa Li

Since Specialization
Citations

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

Fields of papers citing papers by ShiNa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ShiNa Li

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 12
3 7
4 9
5 12
6 9
7 16
8 23
9
Social costs of tourism during the COVID-19 pandemic breakdown →
440
10 16
11 39
12 44
13 45
14 1
15 42
16 70
17 58
18 67
19 70
20 84

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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