Journal Publications

• [1]Baoju Liu, Min Deng, Zhongan Tang, Yan Shi*, et al.Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation.Journal of Transport Geography, 2024, 116: 103836.
• [2]Yan Shi, Bingrong Chen, Jincai Huang, et al.Delineating source and sink zones of trip journeys in the road network space.ISPRS International Journal of Geo-Information, 2024, 13: 150.
• [3]Yan Shi, Da Wang, Baoju Liu, et al.Exploring the nonlinear relationships between human travel and road traffic congestions using taxi trajectory data.Transportation, 2024
• [4]Min Deng, Kaiqi Chen, Kaiyuan Lei, Yuanfang Chen, Yan Shi*.MVCV-Traffic: multiview road traffic state estimation via cross-view learning.International Journal of Geographical Information Science, 2023, 37 (10) : 2205-2237.
• [5]Yan Shi, Yuanfang Chen, Min Deng, et al.Discovering source areas of disease outbreaks based on ring-shaped hotspot detection in road network space.International Journal of Geographical Information Science, 2022, 36 (7) : 1343-1363.
• [6]Yan Shi, Da Wang, Jianbo Tang, et al.Detecting spatiotemporal extents of traffic congestion: a density-based moving object clustering approach.International Journal of Geographical Information Science, 2021, 35 (7) : 1449-1473.
• [7]Min Deng, Xuexi Yang, Yan Shi*, et al.A density-based approach for detecting network-constrained clusters in spatial point events.International Journal of Geographical Information Science, 2019, 33 (3) : 466-488.
• [8]Yan Shi, Da Wang, Zihe Ni, et al.A sequential pattern mining based approach to adaptively detect anomalous paths in floating vehicle trajectories.IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (10) : 18186-18199.
• [9]Bingbing Zhao, Min Deng, Yan Shi*.Inferring nonwork travel semantics and revealing the nonlinear relationships with the community built environment.Sustainable Cities and Society, 2023, 99: 104889.
• [10]Liang Luo, Min Deng, Yan Shi*, et al.Associating street crime incidences with geographical environment in space using a zero-inflated negative binomial regression model.Cities, 2022, 129: 103834.
• [11]Yan Shi, Da Wang, Xiaolong Wang, et al.Sensing travel source-sink spatiotemporal ranges using dockless bicycle trajectory via density-based adaptive clustering.Remote Sensing, 2023, 15 (15) : 3874.
• [12]Baoju Liu, Min Deng, Jingyi Yang, Yan Shi*, et al.Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity.Computers Environment And Urban Systems, 2021, 87: 101616.
• [13]Yan Shi, Jianya Gong, Min Deng, et al.A graph-based approach for detecting spatial cross-outliers from two types of spatial point events.Computers, Environment and Urban Systems, 2018, 72: 88-103.
• [14]Yan Shi, Min Deng, Xuexi Yang, et al.Detecting anomalies in spatio-temporal flow data by constructing dynamic neighbourhoods.Computers, Environment and Urban Systems, 2018, 67: 80-96.
• [15]Yan Shi, Min Deng, Xuexi Yang, et al.Adaptive detection of spatial point event outliers using multilevel constrained Delaunay triangulation.Computers Environment And Urban Systems, 2016, 59: 164-183.
• [16]Yan Shi, Min Deng, Jianya Gong, et al.Detection of clusters in traffic networks based on spatio‐temporal flow modeling.Transactions in GIS, 2019, 23 (2) : 312-333.
• [17]Yan Shi, Min Deng, Xuexi Yang, et al.A spatial anomaly points and regions detection method using multi-constrained graphs and local density.Transactions In GIS, 2017, 21 (2) : 376-405.
• [18]Xuexi Yang, Min Deng, Yan Shi*, et al.Detecting statistically significant geographical anomalous regions from spatial sampling points by coupling Gaussian function and multidirectional optimization.Transactions In GIS, 2021, 25: 1277-1300.
• [19]Hanfa Xing, Yuan Meng*, Yan Shi*.A dynamic human activity‐driven model for mixed land use evaluation using social media data.Transactions In GIS, 2018, 22 (5) : 1130-1151.
• [20]Min Deng, Xuexi Yang, Yan Shi*, et al.A non-parametric statistical test method to detect significant cross-outliers in spatial points.Transactions In GIS, 2018, 22 (6) : 1462-1483.