Neural Network Model Coupled with Phase Space Reconstruction and Its Application. - Weilin Liu; Zengchuan Dong; Nanxiang Chen (ICNC (2), 2007)

Study of Identifying Parameter of River Flow Model Dynamically Based on the Hybrid Accelerating Genetic Algorithm. - Dayong Li; Jigan Wang; Zengchuan Dong; Dezhi Wang (PACIIA (1), 2008)

Comprehensive Evaluation of the Urban Water Resources Carrying Capacity Based on Maximum Entropy Principle. - Qinghang Li; Wei Kuang; Zengchuan Dong; Shengxiang Ding (ESIAT (1), 2009)

Neural network model for hydrological forecasting based on multivariate phase space reconstruction. - Weilin Liu; Lina Liu 007; Zengchuan Dong (ICNC, 2011)

On the use of multi-objective particle swarm optimization for allocation of water resources. - Weilin Liu; Lina Liu 007; Zengchuan Dong (ICNC, 2013)

A comprehensive assessment framework for quantifying climatic and anthropogenic contributions to streamflow changes: A case study in a typical semi-arid North China basin. - Ke Zhang 004; Gebdang B. Ruben; Xin Li; Zhijia Li; Zhongbo Yu; Jun Xia; Zengchuan Dong (Environ. Model. Softw., 2020)

Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions. - Shujun Wu; Zengchuan Dong; Sandra M. Guzmán; Gregory Conde; Wenzhuo Wang; Shengnan Zhu; Yiqing Shao; Jinyu Meng (Ecol. Informatics, 2024)

Spatial and Temporal Evolution of Precipitation in the Bahr el Ghazal River Basin, Africa. - Jinyu Meng; Zengchuan Dong; Guobin Fu; Shengnan Zhu; Yiqing Shao; Shujun Wu; Zhuozheng Li (Remote. Sens., 2024)

Spatiotemporal variations of the precipitation in the Yellow River Basin considering climate and instrumental disturbance. - Wenzhuo Wang; Ningpeng Dong; Jinjun You; Zengchuan Dong; Li Ren; Lianqing Xue (Environ. Model. Softw., 2025)