Publications

JOURNAL ARTICLES (WEB OF SCIENCE)

• Yu, Z., Xiao, Z., Yan. Y., Feng, C.-C., & Liu, X.*, (2023), The geographic disparity of agglomeration economies: evidence from industrial activities in China’s emerging Greater Bay Area, Applied Geography, 161, 103128. [Link]
• Yan, Y.*, Feng, C.-C., & Kwek L.B.L., (2023), Complex adaptive blended learning for higher GIS education: A theory-driven pedagogy moving forward after the pandemic, Transactions in GIS, 27(5), 1479-1502. [Link]
• Chen, M., Yan, Y.*, Feng, C.-C., Chen, S., Wang, J., & Ye, M., (2023), Understanding the mobility patterns of Mass Rapid Transit (MRT) passengers amid COVID-19 in Singapore using smart card data, Singapore Journal of Tropical Geography, 44(3), 414-437. [Link]
• Chen, Y., Liu, Y.*, & Yan, Y.*, (2023), Revealing the spatiotemporal characteristics of the general public’s panic levels during the pandemic crisis in China, Transactions in GIS, 27(1), 176-197. [Link]
• Xie, J., & Yan, Y.*, (2023), Understanding the spatial knowledge of freshmen and sophomores about their university campus: A case study from Jimei University, Xiamen, China, Singapore Journal of Tropical Geography, 44(1), 149-165. [Link]
• Yan, Y., Deng, Y., Yang, J.*, Li, Y., Ye, X., Xu, J., & Ye, Y., (2022), Exploring the applicability of self-organizing maps for ecosystem service zoning of the Guangdong-Hong Kong-Macao Greater Bay Area, ISPRS International Journal of Geo-Information, 11(9), 481. [Link]
• Yan, Y.*, Cai. F., Feng, C.-C., & Chen, Y., (2022), University students’ perspectives on emergency online GIS learning amid the Covid-19 pandemic, Transactions in GIS, 26(6), 2651-2668. [Link]
• Xu, J., Deng, Y., Yang, J.*, Huang, W., Yan, Y., Xie, Yi., & Li, Y., (2022). Effect of population migration and socioeconomic factors on the COVID-19 epidemic at county level in Guangdong, China, Frontiers in Environmental Science, 10, 841996. [Link]
• Hu, T., Wang, S., Luo, W.*, Zhang, M., Huang, X., Yan, Y., Liu R, Ly K, Kacker V., & Li, Z., (2021). Revealing public opinion towards COVID-19 vaccines using Twitter data in the United States: a spatiotemporal perspective, Journal of Medical Internet Research, 23(9), e30854. [Link]
• Yan, Y.*, Feng, C.-C., Huang, W., Fan. H., Wang, Y.-C., & Zipf, A., (2020). Volunteered geographic information research in the first decade: A narrative review of selected journal articles in GIScience. International Journal of Geographical Information Science, 34(9), 1765-1791. [Review article] [Link]
• Yan, Y., Chen, J.*, & Wang, Z., (2020). Mining public sentiments and perspectives from geotagged social media data for appraising the post-earthquake recovery of tourism destinations. Applied Geography, 123, 102306. [Link]
• Yan, Y., Ma, D., Huang, W., Feng, C.-C., Fan., H., Deng. Y.*, & Xu. J., (2020). Volunteered geographic information research in the first decade: Visualizing and analyzing the author connectedness of selected journal articles in GIScience. Journal of Geovisualization and Spatial Analysis, 4(24), 1-13. [Link]
• Yan, Y., Dean, K.*, Feng, C.-C., Hue, G. T., Koh, K.-K., Kong, L., Ong, C. W., Tay, A., Wang, Y.-C., & Xue, Y., (2020). Chinese Temple Networks in Southeast Asia: A Web-GIS Digital Humanities platforms for the collaborative study of the Chinese diaspora in Southeast Asia. Religions, 11(334), 1-23. [Link]
• Wang, Z.*, Novack, T., Yan, Y., & Zipf, A., (2020). Quiet route planning for pedestrians in traffic noise polluted environments. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2020.3004660. [Link]
• Deng, Y., Yan, Y.*, Xie, Y., Xu, J., Jiang, H., Chen, R., & Tan., R., (2020). Developing shopping and dining walking indices using POIs and remote sensing data, ISPRS International Journal of Geo-Information, 9(366), 1-22. [Link]
• Mah, O. B. P., Yan, Y., Tan, J. S. Y., Tan, Y.-X., Tay, G. Q. Y., Chiam, D. J., Wang, Y.-C., Dean, K., & Feng, C.-C.*, (2019). Generating a virtual tour for the preservation of the (in)tangible cultural heritage of Tampines Chinese temple in Singapore. Journal of Cultural Heritage, 39, 202-211. [Link]
• Yan, Y.*, Schultz, M., Kuo, C.-L., & Zipf, A., (2019). An exploratory analysis of usability of Flickr tags for land use/land cover attribution. Geo-spatial Information Science, 22(1), 12-22. [Link]
• Huang, W., Xu, S.*, Yan, Y., & Zipf, A., (2019). An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada. Cities, 84, 8-22. [Link]
• Yan, Y., Kuo, C.-L., Feng, C.-C., Huang, W., Fan. H.*, & Zipf, A., (2018). Coupling maximum entropy modelling with geotagged social media data to determine the geographic distribution of tourists. International Journal of Geographical Information Science, 32(9), 1699-1736. [Link]
• Yan, Y.*, Feng, C.-C., & Chang, K. T.-T., (2017). Towards enhancing integrated pest management with volunteered geographic information. ISPRS International Journal of Geo-Information, 6(7), 224. [Link]
• Yan, Y.*, Eckle, M., Kuo, C.-L., Herfort, B., Fan. H., & Zipf, A., (2017).  Monitoring and assessing post-disaster tourism recovery using geotagged social media data. ISPRS International Journal of Geo-Information, 6(5), 1-17. [Link]
• Yan, Y., Wang, Y.-C., Feng, C.-C.*, Wan, M. P.-H., & Chang, K. T.-T., (2017). Potential distributional changes of invasive crop pest species associated with global climate change. Applied Geography, 82, 93-92. [Link]
• Yan, Y.*, Feng, C.-C., & Wang, Y.-C., (2016). Utilizing fuzzy set theory to assure the quality of volunteered geographic information. GeoJournal, 82(3), 517-532. [Link]
• Please refer to the Google Scholar profile for the full list of publications

CHAPTERS IN BOOKS

• Yan, Y.*, (2021), Volunteered geographic information and its role in disaster and crisis management, In Geosphere NUS, Y. B. Tan and M. A. A. B. Rohaizat (Eds.), Issuu, 12-14. [Link]
• Yan, Y., Chin, W.C.B.*, Leong, C.-H.., Wang Y.-C., and Feng, C.-C., (2021), Emotional Responses through COVID-19 in Singapore. In Human Dynamics in Smart Cities. S.-L. Shaw and D. Sui (Eds.), Springer, 61-79. [Link]
• Dean, K., Xue, Y., Hue, G. T., & Yan, Y., (2019).  SHGIS and SBDB – Two ongoing database and mapping projects related to Singaporean cultural history, ARI News, 44, 7-9. [Link]
• Yan, Y.*, Feng, C.-C., Wan, M. P.-H., & Chang, K. T.-T., (2015). Multiple regression and artificial neural network for the prediction of crop pest risks. In ISCRAM-MED 2015, N. Bellamine Ben Saoud, C. Adam, & C. Hanachi (Eds.), Lecture Notes in Business Information Processing (LNBIP) 233, Springer, 73-84. (Acceptance rate: ~30%). [Link]

CONFERENCE PAPERS

• Huang, W., Chen, B. Y., Biljecki, F., Yan, Y., Grinberger, Y., & Li, H. (2023). Preface: Workshop “GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours”, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1/W1-2023, 1157–1158. [Link]
• Eckle, M., Herfort, B., Yan, Y., Kuo, C.-L., & Zipf, A., (2017). Towards using Volunteered Geographic Information to monitor post-disaster recovery in tourist destinations. Proceedings of the 14th International ISCRAM Conference, 1008-1018, 21-24 May, 2017, Albi, France. (full-paper, acceptance rate: ~30%). [Link]

OTHERS

• Hue, G. T.*, Liu, Y., Choo, J. K. K., Dean, K, Tang, C., Wang Y., Lin, R., Chia, C., Xue, Y., Yan, Y., & Kui, W. K., (2022), The Development and Changes of Singapore Chinese Society in 19–20th Century—An Analysis from the Perspective of Dialect Group Cemetery Hills, Histories, 2(3), 288–314. [Link]
• Yan, Y., (2016). Investigating potential distributional changes of invasive crop pest species associated with global climate change using GIS. Poster, Esri User Conference 2016, 27-30 June 2016, CA, USA. [Link]

Awards and honours, Academic Services, Patents, and others

Awards and honours

1. May 2017: ISPRS International Journal of Geo-Information cover page and cover story (Volume 6, Issue 5)
2. June 2016: ESRI Young Scholars Award 2016 (Awarded in San Diego, CA, USA)

Academic services

• 2023 - 2024: Scientific committee & Organizing committee member of ISPRS Technical Commission IV  Symposium 2024
• 2022 - 2026: Co-chair of the ISPRS Technical Commission Working Group on Human Behaviour and Spatial Interactions
• 2022 - 2023: Chair of the GeoHB 2023 (ISPRS Geospatial Week): Geo-Spatial Computing for Understanding Human Behaviours
• 2021 - 2022: Program committee member of the International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL) 
• 2019: Organizing committee member of the 2019 Conference on Geospatial Artificial Intelligence for Urban Computing
• 2019: Organizing committee member of the 7th Annual Conference on Geoinformatics in Sustainable Ecosystem and Society
• 2018: Program committee member of the International Association for Information Systems for Crisis Response and Management (ISCRAM) Asia Pacific
• 2019: Reviewer of the National Natural Science Foundation of China

Journal article reviews

International Journal of Geographical Information Science, Transactions in GIS, ISPRS International Journal of Geo-Information, Remote Sensing, International Association for Information Systems for Crisis Response and Management (ISCRAM), Annals of GIS, Arabian Journal of Geosciences, Environments, Sustainability, Singapore Journal of Tropical Geography, Arabian Journal of Geosciences, Forests, The Professional Geographer, International Journal of Environmental Research and Public Health, International Journal of Electrical and Computer Engineering, Geo-spatial Information Science, Earth Science Informatics, Geocarto International, Cartography and Geographic Information Science, International Journal of Disaster Risk Reduction, Urban Informatics, International Journal on Smart and Sustainable Cities, Journal of Public Transportation, Expert Systems With Applications.

Patents

1. A method and system for fine classification of urban land cover based on remote sensing images, ZL201911274336.6.
2. A method and system for photo-based social media big data collection and analytics, ZL201911276286.5.
3. A method and system for shopping streets recommendation, ZL201911273412.1.
4. A method for predicting the size of population returning from epidemic zones based on crowdsourced human mobility big data, ZL 2020 1 0236402.7.
5. An input-diffusion-function-based method for early epidemic risk analysis of infectious diseases, ZL 2020 1 0187374.4.

Student competition supervison

1. 2019: Juan Nathaniel (Bachelor in Environmental Studies, NUS)
   • Student competition: The International Statistical Institute (ISI) & Environmental Systems Research Institute (Esri) Student Competition 2019, selected as one of the finalists for poster presentation at the 62nd ISI world Statistics Congress (four posters from Asia were selected, click here for details)