Network Analytics Academic Achievement Award
| Zeying Lan | |
|---|---|
| Affiliation | Guangdong University of Technology |
| Country | China |
| Scopus ID | 23004741900 |
| Documents | 26 |
| Citations | 150 |
| h-index | 5 |
| Subject Area | Low-carbon Social/Ecological/Economic Relationship Network |
| Event | International Research Awards on Network Science & Graph Analytics |
| ORCID | 0000-0003-2311-3254 |
Zeying Lan
Guangdong University of Technology, China
Zeying Lan is a researcher affiliated with Guangdong University of Technology whose scholarly contributions focus on low-carbon development systems, spatial optimization, environmental resilience, and network-oriented urban analytics. The researcher has contributed to studies examining social, ecological, and economic interaction networks within sustainable urban and territorial systems. Published works address topics such as land subsidence monitoring, territorial spatial optimization, community-scale service facility planning, and resilience estimation frameworks for long-term low-carbon performance.[1] The research profile demonstrates interdisciplinary integration between environmental science, network analytics, spatial intelligence, and sustainable development methodologies.[2]
The academic profile includes publications indexed in internationally recognized journals and databases, with research emphasizing spatial-temporal network effects, resilience modeling, and intelligent territorial decision-making systems. The combination of environmental analytics and network science applications aligns with the thematic direction of contemporary graph analytics and sustainability-oriented computational research.[3]
Abstract
This academic recognition article documents the scholarly contributions of Zeying Lan in the interdisciplinary domains of network analytics, spatial resilience assessment, sustainable territorial planning, and environmental systems research. The researcher’s publications emphasize low-carbon performance modeling, community-scale optimization, and spatial-temporal network interactions using computational and analytical approaches.[2] The documented body of work reflects integration between graph-based analysis, environmental sustainability frameworks, and urban systems intelligence, particularly within the context of resilient infrastructure and ecological-economic coupling systems.[4]
Keywords
Network Analytics, Spatial Resilience, Low-carbon Systems, Urban Sustainability, Territorial Optimization, Ecological Networks, Spatial Intelligence, Smart Cities, Environmental Modeling, Graph Analytics, Land Subsidence Monitoring, Sustainable Development
Introduction
Contemporary research in network science increasingly intersects with environmental sustainability, urban systems planning, and ecological resilience assessment. Researchers working in this interdisciplinary space contribute to the understanding of spatial relationships, resource allocation, and long-term environmental performance through analytical and computational frameworks.[3] Zeying Lan’s academic contributions demonstrate engagement with these themes through investigations into spatial-temporal resilience estimation, territorial optimization frameworks, and monitoring systems for urban environmental change.[4]
The integration of low-carbon development models with network effects and ecological-economic interactions reflects the growing importance of graph-oriented analytical approaches in urban sustainability research. These methods support evidence-based planning, environmental governance, and intelligent decision-making systems within rapidly urbanizing environments.[5]
Research Profile
Zeying Lan is affiliated with Guangdong University of Technology and has contributed to research in environmental systems science, smart urban analytics, territorial planning, and low-carbon resilience modeling. The researcher’s Scopus-indexed academic record includes studies focused on sustainable futures, intelligent territorial simulations, land monitoring systems, and community-scale optimization methodologies.[1]
The researcher has accumulated 150 citations with an h-index of 5, reflecting growing scholarly visibility in sustainability-oriented analytical research. Published works include collaborations addressing environmental intelligence, urban service optimization, ecological risk monitoring, and spatial network effects within low-carbon development systems.[2]
Research Contributions
A significant contribution within the researcher’s portfolio involves the development of a spatial-temporal resilience estimation framework designed to evaluate low-carbon long-term performance and associated network effects.[2] This work contributes to broader discussions concerning sustainability resilience, environmental adaptation, and interconnected socio-economic systems.
Additional contributions include resident behavior-driven optimization of commercial service facilities at the community scale, integrating spatial analytics and decision-making frameworks for urban planning applications.[3] The research emphasizes efficient urban service distribution and data-driven territorial management strategies.
The researcher has also contributed to land subsidence monitoring using PS-InSAR methodologies in metropolitan transit systems, supporting infrastructure resilience and environmental risk assessment in rapidly urbanizing areas.[5] Additional studies concerning soil copper estimation and territorial coupling simulation demonstrate interdisciplinary integration between environmental sensing technologies and intelligent planning systems.[4]
Publications
- A spatial-temporal evolution resilience estimation framework for low-carbon long-term performance and its network effects. Sustainable Futures, 2026.DOI: https://doi.org/10.1016/j.sftr.2026.101843
- Resident Behavior-Driven Zonation and Optimization of Commercial Service Facilities at the Community Scale. Smart Cities, 2026.DOI: https://doi.org/10.3390/smartcities9050084
- An intelligent decision-making framework for territorial spatial layout coupling simulation and optimization: a case study of Hui’an County. Frontiers in Environmental Science, 2025.DOI: https://doi.org/10.3389/FENVS.2025.1705832
- Monitoring and Analysis of Land Subsidence Induced by Social Aggregation Effects for Operational Subway via PS-InSAR: A Case Study in Guangzhou Metro Line 6, China. Applied Sciences, 2025.DOI: https://doi.org/10.3390/APP152111492
- Estimating the Soil Copper Content of Urban Land in a Megacity Using Piecewise Spectral Pretreatment. Land, 2024.DOI: https://doi.org/10.3390/LAND13040517
Research Impact
The research impact associated with Zeying Lan’s scholarly profile is reflected through contributions to low-carbon resilience frameworks, urban analytics, and environmental optimization methodologies. The integration of spatial-temporal analytical techniques with network-oriented sustainability studies contributes to emerging interdisciplinary research areas that combine graph analytics, ecological resilience, and territorial intelligence.[2]
The documented citation record and collaborative publication profile indicate ongoing engagement with sustainability-focused scientific communities. Research outputs addressing community-scale optimization, ecological monitoring, and urban resilience provide analytical foundations for sustainable planning and environmental governance strategies.[3]
Award Suitability
The scholarly work of Zeying Lan demonstrates strong thematic alignment with the objectives of the International Research Awards on Network Science & Graph Analytics. The research portfolio incorporates network effects analysis, spatial intelligence systems, resilience estimation models, and urban optimization frameworks that correspond to the broader applications of graph analytics in sustainability science.[1]
The interdisciplinary character of the researcher’s publications further supports recognition within an academic award framework emphasizing innovative analytical methodologies and systems-oriented environmental research. Contributions to low-carbon relationship networks and territorial optimization systems demonstrate relevance to contemporary network science applications in ecological and socio-economic contexts.[4]
Conclusion
Zeying Lan’s academic contributions reflect an interdisciplinary research profile centered on sustainability analytics, spatial resilience, and environmental network systems. Through studies addressing territorial optimization, low-carbon performance modeling, and urban environmental monitoring, the researcher has contributed to evolving discussions within environmental science and graph-oriented analytical research.[5] The documented publication record and research themes demonstrate continued engagement with network-based approaches to sustainability and intelligent spatial planning.
External Links
References
- Elsevier. (n.d.). Scopus author details: Zeying Lan, Author ID 23004741900. Scopus. https://www.scopus.com/authid/detail.uri?authorId=23004741900
- Lan, Z., Chen, X., Liu, Y., Hu, X., & He, J. (2026). A spatial-temporal evolution resilience estimation framework for low-carbon long-term performance and its network effects. Sustainable Futures.DOI: https://doi.org/10.1016/j.sftr.2026.101843
- Lan, Z., Lu, B., Bian, Y., Liu, Y., Chen, X., & He, J. (2026). Resident Behavior-Driven Zonation and Optimization of Commercial Service Facilities at the Community Scale. Smart Cities.DOI: https://doi.org/10.3390/smartcities9050084
- Lan, Z. (2025). An intelligent decision-making framework for territorial spatial layout coupling simulation and optimization: a case study of Hui’an County. Frontiers in Environmental Science.DOI: https://doi.org/10.3389/FENVS.2025.1705832
- Lan, Z. (2025). Monitoring and Analysis of Land Subsidence Induced by Social Aggregation Effects for Operational Subway via PS-InSAR: A Case Study in Guangzhou Metro Line 6, China. Applied Sciences.DOI: https://doi.org/10.3390/APP152111492