A novel method for discovering spatio-temporal clusters of different sizes, shapes, and densities in the presence of noise. - Qiliang Liu; Min Deng; Jiantao Bi; Wentao Yang 002 (Int. J. Digit. Earth, 2014)

A divide-and-conquer method for space-time series prediction. - Min Deng; Wentao Yang 002; Qiliang Liu; Yunfei Zhang (J. Geogr. Syst., 2017)

An Improved Roam Algorithm and its Application in Terrain Modeling. - Chaokui Li; Ning Wang; Jun Fang; Baiyan Wu; Wentao Yang 002 (IGARSS, 2018)

Heterogeneous Space-Time Artificial Neural Networks for Space-Time Series Prediction. - Min Deng; Wentao Yang 002; Qiliang Liu; Rui Jin; Feng Xu; Yunfei Zhang (Trans. GIS, 2018)

A spatial-adjacency-based approach for analyzing urban landscape structure. - Rui Jin; Jianya Gong; Min Deng; Yiliang Wan; Wentao Yang 002 (Trans. GIS, 2018)

Predictive Soil Pollution Mapping: A Hybrid Approach for a Dataset With Outliers. - Wentao Yang 002; Min Deng; Xuexi Yang; Dongsheng Wei (IEEE Access, 2019)

Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities. - Huimin Liu; Yiyuan Xu; Jianbo Tang; Min Deng; Jincai Huang 002; Wentao Yang 002; Fang Wu (Trans. GIS, 2020)

Generating pseudo-absence samples of invasive species based on outlier detection in the geographical characteristic space. - Wentao Yang 002; Huaxi He; Dongsheng Wei; Hao Chen (J. Geogr. Syst., 2022)

Discovering transition patterns among OpenStreetMap feature classes based on the Louvain method. - Yijiang Zhao; Wentao Yang 002; Yizhi Liu; Zhuhua Liao (Trans. GIS, 2022)

Geographically weighted regression with the integration of machine learning for spatial prediction. - Wentao Yang 002; Min Deng; Jianbo Tang; Liang Luo (J. Geogr. Syst., 2023)

Spatial ensemble learning for predicting the potential geographical distribution of invasive species. - Wentao Yang 002; Xiafan Wan; Min Deng (Int. J. Geogr. Inf. Sci., 2024)

A divide-and-conquer method for predicting the fine-grained spatial distribution of population in urban and rural areas. - Xiafan Wan; Wentao Yang 002 (J. Geogr. Syst., 2025)