Vera Shanshan Lin

1.2k total citations
22 papers, 906 citations indexed

About

Vera Shanshan Lin is a scholar working on Sociology and Political Science, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Vera Shanshan Lin has authored 22 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 9 papers in Economics and Econometrics and 5 papers in Management Science and Operations Research. Recurrent topics in Vera Shanshan Lin's work include Diverse Aspects of Tourism Research (16 papers), Economic and Environmental Valuation (6 papers) and Forecasting Techniques and Applications (5 papers). Vera Shanshan Lin is often cited by papers focused on Diverse Aspects of Tourism Research (16 papers), Economic and Environmental Valuation (6 papers) and Forecasting Techniques and Applications (5 papers). Vera Shanshan Lin collaborates with scholars based in China, Hong Kong and United Kingdom. Vera Shanshan Lin's co-authors include Haiyan Song, Gang Li, Xiaoli Yi, Yang Yang, Wenmin Jin, Qiuju Luo, Anyu Liu, Honggen Xiao, Xiaoxiao Fu and Rui Mao and has published in prestigious journals such as PLoS ONE, Annals of Tourism Research and Journal of Travel Research.

In The Last Decade

Vera Shanshan Lin

21 papers receiving 876 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vera Shanshan Lin China 17 689 195 191 179 78 22 906
Jinah Park Hong Kong 15 1.0k 1.5× 305 1.6× 236 1.2× 226 1.3× 103 1.3× 35 1.3k
Jason Li Chen United Kingdom 15 886 1.3× 320 1.6× 288 1.5× 186 1.0× 114 1.5× 37 1.2k
Richard T.R. Qiu Hong Kong 15 1.1k 1.5× 384 2.0× 268 1.4× 279 1.6× 138 1.8× 27 1.4k
Vicente Ramos Spain 14 597 0.9× 309 1.6× 252 1.3× 108 0.6× 46 0.6× 40 860
João Romão Portugal 16 610 0.9× 233 1.2× 272 1.4× 108 0.6× 13 0.2× 40 862
Raffaele Scuderi Italy 17 504 0.7× 191 1.0× 222 1.2× 89 0.5× 15 0.2× 47 813
Christopher P. Cooper United States 9 742 1.1× 72 0.4× 226 1.2× 128 0.7× 16 0.2× 14 926
Andrea Guizzardi Italy 15 399 0.6× 200 1.0× 86 0.5× 169 0.9× 112 1.4× 39 654
Zheng Cao United Kingdom 7 561 0.8× 235 1.2× 146 0.8× 74 0.4× 29 0.4× 9 725
Mike Tsionas United Kingdom 9 353 0.5× 195 1.0× 75 0.4× 137 0.8× 36 0.5× 37 681

Countries citing papers authored by Vera Shanshan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Vera Shanshan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vera Shanshan Lin. 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 Vera Shanshan Lin. The network helps show where Vera Shanshan Lin may publish in the future.

Co-authorship network of co-authors of Vera Shanshan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Shanshan Lin. A scholar is included among the top collaborators of Vera Shanshan Lin 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 Vera Shanshan Lin. Vera Shanshan Lin 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
1.
Liu, Ying, et al.. (2025). Forecasting Chinese outbound tourism recovery: A Triple-layer forecast combination framework. Annals of Tourism Research. 116. 104079–104079.
2.
Liu, Anyu, Yuan Qin, & Vera Shanshan Lin. (2024). Local Leaders’ Promotion Pressure and Tourism Development: Evidence from China. Journal of Travel Research. 64(6). 1464–1479. 1 indexed citations
3.
Lin, Vera Shanshan, et al.. (2023). Impacts of risk aversion on tourism consumption: A hierarchical age-period-cohort analysis. Annals of Tourism Research. 101. 103607–103607. 22 indexed citations
4.
Lin, Vera Shanshan, et al.. (2023). Tourists’ Value Co-Creation With Service Robots: Antecedents and Mechanisms. Journal of Hospitality & Tourism Research. 48(6). 949–963. 18 indexed citations
5.
Lin, Vera Shanshan, et al.. (2022). Multiple effects of “distance” on domestic tourism demand: A comparison before and after the emergence of COVID-19. Annals of Tourism Research. 95. 103440–103440. 39 indexed citations
6.
Yi, Xiaoli, Xiaoxiao Fu, Vera Shanshan Lin, & Honggen Xiao. (2021). Integrating Authenticity, Well-being, and Memorability in Heritage Tourism: A Two-Site Investigation. Journal of Travel Research. 61(2). 378–393. 68 indexed citations
7.
Lin, Vera Shanshan, et al.. (2020). Determinants of Chinese households' tourism consumption: Evidence from China Family Panel Studies. International Journal of Tourism Research. 23(4). 542–554. 32 indexed citations
8.
Liu, Anyu, Vera Shanshan Lin, Gang Li, & Haiyan Song. (2020). Ex Ante Tourism Forecasting Assessment. Journal of Travel Research. 61(1). 64–75. 30 indexed citations
9.
Lin, Vera Shanshan. (2018). Judgmental adjustments in tourism forecasting practice: How good are they?. Tourism Economics. 25(3). 402–424. 3 indexed citations
10.
Lin, Vera Shanshan, Yang Yang, & Gang Li. (2018). Where Can Tourism-Led Growth and Economy-Driven Tourism Growth Occur?. Journal of Travel Research. 58(5). 760–773. 132 indexed citations
11.
Lin, Vera Shanshan, Yang Yang, & Gang Li. (2018). Where Can Tourism-Led Growth and Economy-Driven Tourism Growth Occur?. Journal of Travel Research. 58(5). 760–773. 23 indexed citations
12.
Yi, Xiaoli, Vera Shanshan Lin, Wenmin Jin, & Qiuju Luo. (2016). The Authenticity of Heritage Sites, Tourists’ Quest for Existential Authenticity, and Destination Loyalty. Journal of Travel Research. 56(8). 1032–1048. 151 indexed citations
13.
Lin, Vera Shanshan, Rui Mao, & Haiyan Song. (2015). Tourism expenditure patterns in China. Annals of Tourism Research. 54. 100–117. 45 indexed citations
14.
Lin, Vera Shanshan, Anyu Liu, & Haiyan Song. (2015). Modeling and Forecasting Chinese Outbound Tourism: An Econometric Approach. Journal of Travel & Tourism Marketing. 32(1-2). 34–49. 75 indexed citations
15.
Lin, Vera Shanshan & Haiyan Song. (2014). A review of Delphi forecasting research in tourism. Current Issues in Tourism. 18(12). 1099–1131. 63 indexed citations
16.
Lin, Vera Shanshan, Paul Goodwin, & Haiyan Song. (2014). Accuracy and bias of experts’ adjusted forecasts. Annals of Tourism Research. 48. 156–174. 25 indexed citations
17.
Lin, Vera Shanshan, et al.. (2013). Modeling and Forecasting Inbound Tourism Demand for Long-Haul Markets of Beijing. Journal of China Tourism Research. 9(4). 489–506. 5 indexed citations
18.
Jin, Scarlett T., Vera Shanshan Lin, & Kam Hung. (2013). China's Generation Y's Expectation on Outbound Group Package Tour. Asia Pacific Journal of Tourism Research. 19(6). 617–644. 37 indexed citations
19.
Lin, Vera Shanshan. (2013). Improving Forecasting Accuracy by Combining Statistical and Judgmental Forecasts in Tourism. Journal of China Tourism Research. 9(3). 325–352. 5 indexed citations
20.
Jian, Wen‐Shan, Min‐Huei Hsu, Shabbir Syed-Abdul, et al.. (2012). LabPush: A Pilot Study of Providing Remote Clinics with Laboratory Results via Short Message Service (SMS) in Swaziland, Africa. PLoS ONE. 7(9). e44462–e44462. 23 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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