The DOI matches its Crossref record; 90 of the 93 references it cites were found in a registry or an index.
Climate change and tourism: a scientometric analysis using CiteSpace
Abstract
The interaction between climate change and tourism has been one of the most critical and dynamic research areas in the field of sustainable tourism in recent years. In this paper, a scientometric analysis of 976 academic publications between 1990 and 2015 related to climate change and tourism is presented to characterize the intellectual landscape by identifying and visualizing the evolution of the collaboration network, the co-citation network, and emerging trends. The results show that the number of publications in this field has increased rapidly and it has become an increasingly interdisciplinary research subject. The most productive authors and institutions in this subject area are in Australia, USA, Canada, New Zealand, and European countries. In this paper, we identify the most pressing topics of climate change and tourism research, as represented in the existing literature, which include the consequences of climate change for tourism, necessary adaptations, the vulnerability of the tourism industry, tourist behaviour and demand in response to climate change, and emission reductions in the tourism sector. The paper presents an in-depth analysis of climate change and tourism research to better understand global trends and directions in this field that have emerged over the past 25 years.
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“Co-citation patterns and frequency help identify knowledge domains since higher co-citation frequencies between two publications suggest stronger relationships, uniformity of references and collective knowledge (Fang et al. 2018).”
From Blockchain technology in the smart city: A bibliometric review (2022) · cites this paper as Fang et al. 2018
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“CiteSpace contributes to enhanced clarity and interpretability of visualizations compared to other tools, thereby reducing cognitive load on users as they explore significant trends and turning points in a technological framework [25,26].”
MethodThe Tourism–Climate Nexus: A Conceptual Review of Their Interactions
Nghiem, X., Pham, T. H., Nguyen, T. G., & Nguyen, T. K. D. (2024) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83753-708-220241008 · Cited by 3
Technology in Hospitality, Leisure, Sport and Tourism Research: A Bibliometric Mapping
Karasakaloğlu, B., & Çelik, M. N. (2025) · Selçuk Turizm ve Bilişim Araştırmaları Dergisi · doi:10.71276/stbad.1634292 · Cited by 3
Al-Attas, H. H., Rahaman, M. S., & Ansari, K. M. N. (2021) · Lincoln (University of Nebraska) · Cited by 3
Exploring Climate Change, Technology and Sustainable Tourism Nexus in Bangladesh
Hossain, M. J., Rakib, M. R. H. K., & Hassan, A. (2021) · Springer eBooks · doi:10.1007/978-981-16-2434-6_17 · Cited by 3
Cai, Y., Jing, L., & Li, Q. (2023) · Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) · doi:10.2991/978-94-6463-102-9_95 · Cited by 3
Adaptation and Mitigation Strategies Under Climate Change Scenario
Patel, S., Dey, A., Chaturvedi, A., Sharma, A. K., & Singh, R. (2024) · Springer eBooks · doi:10.1007/978-3-031-52708-1_11 · Cited by 3
Bibliometric review of carbonaceous-based sorbent for hydrogen storage
Tukiman, H., Aji, D., Timuda, G. E., Darsono, N., Rahayu, S. T., Budiman, A. H., & Khaerudini, D. S. (2024) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-024-03096-3 · Cited by 3
Knowledge Mapping of Robotic Applications in Tourism and Hospitality
Ye, H., Chen, S., Law, R., & Fong, L. H. N. (2022) · Journal of Smart Tourism · doi:10.52255/smarttourism.2022.2.4.3 · Cited by 3
“…analysis and generate a science map of existing knowledge: this includes CiteSpace which is the most widely used bibliometric analysis software among hospitality and tourism academics (Li et al., 2017; Fang et al., 2018; Qiao et al., 2021), which was chosen to be the tool of this study herein.”
PLANT PHYLOGENETICS: A BIBLIOMETRIC ANALYSIS BASED ON VOSVIEWER AND CITESPACE
YANG, X. X., Zhang, S., & LUO, J. (2023) · Applied Ecology and Environmental Research · doi:10.15666/aeer/2104_37373754 · Cited by 3
Crisis Communication Research: A Scientometric Perspective
Hoştut, S., Yardibi, F., & Torun, B. U. (2026) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.70129 · Cited by 2
Progress and Prospects of Research on Climate Policy and Governance
Chun-kui, Z., Tong, P., & Jingyuan, X. (2021) · Journal of Advances in Health · doi:10.3724/sp.j.2096-5141.2021.0008 · Cited by 2
Links and Interaction of Villagers and Rural Revitalization: A Bibliometric Review
Chen, Z., Tham, J., & Azam, S. M. F. (2023) · Journal of Namibian Studies History Politics Culture · doi:10.59670/jns.v33i.807 · Cited by 2
Kahve Turizmine İlişkin Sistematik Bir Araştırma (A Systematic Research of Coffee Tourism)
Şahin, A. (2023) · Journal of Tourism and Gastronomy Studies · doi:10.21325/jotags.2023.1289 · Cited by 2
“WoS ise hakemli dergi yayınlarına, bibliyografik bilgilere ve alıntılara geniş kapsamlı erişim sağlayan saygın ve kapsamlı bir bibliyografik veri tabanı olması (Fang, Yin & Wu, 2018) nedeniyle kullanılmıştır.”
Coastal Tourism Adaptation to Climate Change in Brazil
Grimm, I. J. (2024) · Advances in spatial science · doi:10.1007/978-3-031-59431-1_8 · Cited by 2
Trends in social inclusion and its impact on public services: Research by CiteSpace
Zainudin, A., Kartini, D. S., Suwaryo, U., & Yuningsih, N. Y. (2024) · Cogent Social Sciences · doi:10.1080/23311886.2024.2392295 · Cited by 2
“citeSpace, the Java application, can be used to generate knowledge domain visualizations (Fang et al., 2018). it addressed several issues compared to previous visualization tools; for example, it improved network clarity and transitions.”
Adoption of Sustainability Principles in the Fashion Industry: a Systematic Literature Review
Gálvez‐Sánchez, F. J., Molina-Prados, A., Prados-Peña, M., & Moreno, V. M. (2024) · Journal of the Knowledge Economy · doi:10.1007/s13132-024-02438-2 · Cited by 5
Metadata
- Authors
- Fang, Y., Yin, J., & Wu, B.
- Affiliations
- International Center for Recreation and Tourism Research, College of Urban and Environmental Sciences, Peking University, Beijing, China
- East China Normal University (CN)
- Peking University (CN)
- Corresponding author
- Wu, Bihu
- ORCID
- Yin, Jie
- Venue
- Journal of Sustainable Tourism
- Publisher
- Informa UK Limited
- Published
- 2017-05-30
- Volume
- 26
- Issue
- 1
- Pages
- 108-126
- ISSN
- 0966-9582 (ISSN-L)
- 1747-7646
- OpenAlex
- W2620402730
- Cited by
- 405
- References
- 93
- Citations by year
- 2026: 31 · 2025: 30 · 2024: 67 · 2023: 72 · 2022: 65 · 2021: 59 · 2020: 46 · 2019: 22 · 2018: 10 · 2017: 3
- FWCI
- 56.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Sustainable Tourism (publishedVersion)
- Funders
- National Natural Science Foundation of China (41271151)
- Topics
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Keywords
- climate change, tourism, sustainable tourism, climate change impacts on tourism, tourism adaptation, tourism vulnerability, tourist behavior, research trends, collaboration networks, co-citation networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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