Selected Publications

Full list of publication on Google Scholar profile.

[31] Customized decision-making support per locations characteristics of spatial accessibility: A case study of emergency healthcare in New York City

Published in Computers, Environment and Urban Systems, 2026

Park, J., Lyu, F., Michels, A., Zhang, I., Wang, S. (2026). Customized decision-making support per locations characteristics of spatial accessibility: A case study of emergency healthcare in New York City. Computers Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2026.102458

[30] FG-TreeSeg: Flow-Guided Tree Crown Segmentation without Instance Annotations

Published in IEEE Geoscience and Remote Sensing Letters, 2026

Chen, P., Lyu, F., Wang, S., Wang, C. (2026). FG-TreeSeg: Flow-Guided Tree Crown Segmentation Without Instance Annotations. IEEE Geoscience and Remote Sensing Letters. DOI: 10.1109/LGRS.2026.3693969

[29] Does stadium construction drive surrounding urban development Evidence from spatiotemporal impacts of large scale stadiums in China

Published in Applied Geography, 2026

Jin, S., Yang, S., Oliver, R., Lyu, F.. (2026). Does stadium construction drive surrounding urban development? Evidence from spatiotemporal impacts of large-scale stadiums in China. Applied Geography. DOI: 10.1016/j.apgeog.2026.103992

[28] Converging high-performance computing and machine learning for geospatial discovery and innovation

Published in Annals of GIS, 2026

Lyu, F., Kang, Y., Wang, S. (2026). Converging high-performance computing and machine learning for geospatial discovery and innovation. Annals of GIS. DOI: 10.1080/19475683.2026.2639769

[27] Analysis of the Multi-Scale Spatial Heterogeneity of Factors Influencing the Electric Bike-Sharing Travel Demand in Small and Medium-Sized Cities

Published in Sustainability, 2025

Wang, X., Peng, Z., Li, X., Du, M., Lyu, F., Kang, J., Lee, K., Liu, D. (2025). Analysis of the Multi-Scale Spatial Heterogeneity of Factors Influencing the Electric Bike-Sharing Travel Demand in Small and Medium-Sized Cities. Sustainability. DOI: 10.1111/10.3390/su172310437

[26] A Video Machine Learning Framework for Spatiotemporal Analysis of Complex Urban Dynamics

Published in Transactions in GIS, 2025

Lyu, F., Kiv, D., Ma, X., Wang, S. (2025). A Video Machine Learning Framework for Spatiotemporal Analysis of Complex Urban Dynamics. Transactions in GIS. DOI: 10.1111/tgis.70096

[25] Converging GeoAI and CyberGIS for Human Geography

Published in GeoAI and Human Geography: The Dawn of a New Spatial Intelligence Era, 2025

Lyu, F.. (2025). Converging GeoAI and CyberGIS for Human Geography. GeoAI and Human Geography: The Dawn of a New Spatial Intelligence Era. DOI: 10.1007/978-3-031-87421-5_8

[24] Evaluating the Evaluation Matrices: Integrating Spatial Assessment in Geospatial AI Model Training and Evaluation

Published in I-GUIDE Forum, 2025

Lyu, F.. (2025). Evaluating the Evaluation Matrices: Integrating Spatial Assessment in Geospatial AI Model Training and Evaluation. I-GUIDE Forum 2025. DOI: 10.5703/1288284317905

[23] Building Machine Learning Challenges for Anomaly Detection in Science

Published in arXiv, 2025

Campolongo, E., …, Lyu, F., …, Zhong, Y. (2025). Building Machine Learning Challenges for Anomaly Detection in Science. arXiv. DOI: 10.48550/arXiv.2503.02112

[22] Revitalizing Cities: The 5R Framework Approach to Urban Retrofitting and Big Data Insights

Published in Growth and Change, 2025

Ma, X., Song, Y., Lyu, F., Yang, Y., Wang, Y., Li, X., Zhong, S. (2025). Revitalizing Cities: The 5R Framework Approach to Urban Retrofitting and Big Data Insights. Growth and Change. DOI: 10.1111/grow.70018

[21] Multi-stream STGAN: A Spatiotemporal Image Fusion Model with Improved Temporal Transferability

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025

Lyu, F., Yang, Z., Diao, C., Wang, S. (2025). Multistream STGAN: A Spatiotemporal Image Fusion Model With Improved Temporal Transferability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2024.3506879

[20] A Convergence Framework for Integrating CyberGIS Education and Research on I-GUIDE Platform

Published in I-GUIDE Forum 2024, 2024

Lyu, F., Baig, F., Kang, Y., Li, E., Padmanabhan, A., Wang, S. (2024). A Convergence Framework for Integrating CyberGIS Education and Research on I-GUIDE Platform. I-GUIDE Forum. DOI: 10.5703/1288284317798

[19] NetPointLib: Library for Large-Scale Spatial Network Point Data Fusion and Analysis

Published in PEARC24, 2024

Kang, Y., **Lyu, F., Wang, S. (2024) NetPointLib: Library for Large-Scale Spatial Network Point Data Fusion and Analysis. In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (PEARC24). Association for Computing Machinery, New York, NY, USA, Article 43, 1–4. https://doi.org/10.1145/3626203.3670615

[18] From Individual Motivation to Geospatial Epidemiology: A Novel Approach Using Fuzzy Cognitive Maps and Agent-Based Modeling for Large-Scale Disease Spread

Published in Sustainability, 2024

Song, Z., Zhang, Z., Lyu, F., Bishop, M., Liu, J., Chi, Z. (2024) From Individual Motivation to Geospatial Epidemiology: A Novel Approach Using Fuzzy Cognitive Maps and Agent‑Based Modeling for Large‑Scale Disease Spread. Sustainability. 16(12):5036. DOI: 10.3390/su16125036

[17] Mapping dynamic human sentiments of heat exposure with location-based social media data

Published in International Journal of Geographical Information Science, 2024

Lyu, F., Zhou, L., Park, J., Baig, F., Wang, S. (2024). Mapping dynamic human sentiments of heat exposure with location-based social media data. International Journal of Geographical Information Science, 1–24. https://doi.org/10.1080/13658816.2024.2343063

[16] Large‐scale Google Street View Images for Urban Change Detection

Published in I-GUIDE Forum, 2023

Lyu, F., Ma, X., Song, Y., Zhu, E., Wang, S. (2023). Large‐scale Google Street View Images for Urban Change Detection. I-GUIDE Forum. DOI: 10.5703/1288284317674

[15] A cyberGIS approach to exploring neighborhood‐level social vulnerability for disaster risk management

Published in Transactions in GIS, 2023

Su, H., Kang, J., Lyu, F., Baig, F., Smilovsky, D., Park, J., Wang, S. (2023). A cyberGIS approach to exploring neighborhood‐level social vulnerability for disaster risk management. Transactions in GIS. 27, 1942–1958. https://doi.org/10.1111/tgis.13106

[14] From the coast to the interior: global economic evolution patterns and mechanisms

Published in Humanities and Social Sciences Communications, 2023

Jin, X., Yang, J., Yue, W., Wang, S., Yang, D., Xiao, X., Xue, B., Dou, Y., Lyu, F., Wang, S. (2023). From the coast to the interior: global economic evolution patterns and mechanisms. Humanities and Social Sciences Communications, 10, 723. https://doi.org/10.1057/s41599-023-02234-4

[13] Examine the environmental inequity impact of urban heat mitigation on redlining legacy: case study of Charlotte’s retrofitting, 2001–2020

Published in Frontiers in Environmental Science, 2023

Li, X., Ma, X., Lyu, F., and Song, Y. (2023). Examine the environmental inequity impact of urban heat mitigation on redlining legacy: case study of Charlotte’s retrofitting, 2001–2020. Frontiers in Environmental Science, 11, 1218819. https://doi.org/10.3389/fenvs.2023.1218819

[12] Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case‑fatality ratio of COVID‑19 in the state of Texas, USA.

Published in Applied Geography, 2023

Park, J., Michels, A., Lyu, F., Han, S., Wang, S. (2023). Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case‑fatality ratio of COVID‑19 in the state of Texas, USA. Applied Geography, 102929, ISSN 0143‑6228, https://doi.org/10.1016/j.apgeog.2023.102929.

[11] Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks

Published in ISPRS International Journal of Geo-Information, 2022

Chen, X., Wang, S., Li, H., Lyu, F., Liang, H., Zhang, X., Zhong, Y. (2022). Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks. ISPRS International Journal of Geo‑Information. 2022; 11(10):514. DOI: 10.3390/ijgi11100514

[10] An Integrated CyberGIS and Machine Learning Framework for Fine‐Scale Prediction of Urban Heat Island Using Satellite Remote Sensing and Urban Sensor Network Data

Published in Urban Informatics, 2022

Lyu, F., Wang, S., Han, S., Wang, S. (2022). An Integrated CyberGIS and Machine Learning Framework for Fine‐Scale Prediction of Urban Heat Island Using Satellite Remote Sensing and Urban Sensor Network Data. Urban Informatics 1, 6. https://doi.org/10.1007/s44212-022-00002-4

[9] Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model

Published in International Journal of Applied Earth Observation and Geoinformation, 2022

Wu, S., Qi, Jin., Yan, Z., Lyu, F., Lin, T., Wang, Y., Du, Z. (2022). Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model. International Journal of Applied Earth Observation and Geoinformation Volume 112, 2022, 102897, ISSN 1569-8432, https://doi.org/10.1016/j.jag.2022.102897

[8] CyberGIS for Scalable Remote Sensing Data Fusion

Published in PEARC22, 2022

Lyu, F., Yang, Z., Xiao, Z., Diao, C.,Park, J., Wang, S. (2022). CyberGIS for Scalable Remote Sensing Data Fusion. In Proceedings of the Practice and Experience in Advanced Research Computing. Association for Computing Machinery, New York, NY, USA, Article 35, 1–4. https://doi.org/10.1145/3491418.3535145

[7] A deep trajectory clustering method based on sequence-to-sequence autoencoder model

Published in Transactions in GIS, 2022

Wang, C., Lyu, F., et al. (2022). A deep trajectory clustering method based on sequence-to-sequence autoencoder model. Transactions in GIS, 00, 1– 20.

[6] A vector-based method for drainage network analysis based on LiDAR data

Published in Computers & Geosciences, 2021

Lyu, F., Xu, Z., Ma, X., Li, Z., Wang, S. (2021). A vector-based method for drainage network analysis based on LiDAR data. Computers & Geosciences Volume 156, 2021, 104892, ISSN 0098-3004.

[5] Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19

Published in Mapping COVID-19 in Space and Time. Human Dynamics in Smart Cities., 2021

Lyu, F., Kang, JY., Wang, S., Han, S.Y., Li, Y., Wang, S. (2021). Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19. In: Shaw, SL., Sui, D. (eds) Mapping COVID-19 in Space and Time. Human Dynamics in Smart Cities. Springer, Cham.

[4] Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics

Published in Urban Informatics. The Urban Book Series., 2021

Wang, S., Lyu, F., Wang, S., Catlett, C., Padmanabhan, A., Soltani, K. (2021). Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics. In: Shi, W., Goodchild, M.F., Batty, M., Kwan, MP., Zhang, A. (eds) Urban Informatics. The Urban Book Series. Springer, Singapore.

[3] Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA

Published in International Journal of Health Geographics, 2020

Kang, JY., Michels, A., Lyu, F., Wang, S. Agbodo, N., Freeman, V., Wang, S. (2020). Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. International Journal of Health Geographics 19, 36 (2020).

[2] Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case Study on SUMMA

Published in PEARC19, 2019

Lyu, F., Yin, D., Padmanabhan, A., Choi, Y., Goodall, J., Castronova, A., Tarboton, D., Wang, S. (2019). Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case Study on SUMMA. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines learning. Association for Computing Machinery, New York, NY, USA, Article 95, 1–3.

[1] Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter

Published in PEARC19, 2019

Padmanabhan, A., Yin, D., Lyu, F., Wang, S. (2019). Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines learning. Association for Computing Machinery, New York, NY, USA, Article 95, 1–3.

Fangzheng Lyu

Selected Publications

Full list of publication on Google Scholar profile.