Agent-based simulation for enterprise capabilities under complex dynamic environments. - Dehua Gao; Xiuquan Deng; Bing Bai (ICNC, 2011)

An Evolutionary Game Model of Organizational Routines on Complex Networks. - Dehua Gao; Xiuquan Deng; Bing Bai (ICSI (1), 2013)

The emergence of organizational routines from habitual behaviours of multiple actors: an agent-based simulation study. - Dehua Gao; Xiuquan Deng; Bing Bai (J. Simulation, 2014)

Multi-Agent Based Simulation of Organizational Routines on Complex Networks. - Dehua Gao; Xiuquan Deng; Qiuhong Zhao; Hong Zhou; Bing Bai (J. Artif. Soc. Soc. Simul., 2015)

Linking routines to the evolution of IT capability on agent-based modeling and simulation: a dynamic perspective. - Bing Bai; Byungjoon Yoo; Xiuquan Deng; Iljoo Kim; Dehua Gao (Comput. Math. Organ. Theory, 2016)

Evaluation of the accuracy of an auto-navigation system for a tractor in mountain areas. - Liangliang Yang; Dehua Gao; Yohei Hoshino; Soichiro Suzuki; Ying Cao 002; Shuming Yang (SII, 2017)

The role of cognitive artifacts in organizational routine dynamics: an agent-based model. - Dehua Gao; Flaminio Squazzoni; Xiuquan Deng (Comput. Math. Organ. Theory, 2018)

The Intertwining Impact of Intraorganizational and Routine Networks on Routine Replication Dynamics: An Agent-Based Model. - Dehua Gao; Flaminio Squazzoni; Xiuquan Deng (Complex., 2018)

Generation of a High-Precision Digital Elevation Model for Fields in Mountain Regions Using RTK-GPS. - Liangliang Yang; Hao Guo 018; Shuming Yang; Yohei Hoshino; Soichiro Suzuki; Dehua Gao; Ying Cao 002 (Int. J. Autom. Technol., 2019)

Dynamic Influence Elimination and Chlorophyll Content Diagnosis of Maize Using UAV Spectral Imagery. - Lang Qiao; Dehua Gao; Junyi Zhang 006; Minzan Li; Hong Sun; Junyong Ma (Remote. Sens., 2020)

Detection of Canopy Chlorophyll Content of Corn Based on Continuous Wavelet Transform Analysis. - Junyi Zhang 006; Hong Sun; Dehua Gao; Lang Qiao; Ning Liu; Minzan Li; Yao Zhang (Remote. Sens., 2020)

Improvement of chlorophyll content estimation on maize leaf by vein removal in hyperspectral image. - Dehua Gao; Minzan Li; Junyi Zhang 006; Di Song; Hong Sun; Lang Qiao; Ruomei Zhao (Comput. Electron. Agric., 2021)

Chlorophyll content estimation based on cascade spectral optimizations of interval and wavelength characteristics. - Di Song; Dehua Gao; Hong Sun; Lang Qiao; Ruomei Zhao; Weijie Tang; Minzan Li (Comput. Electron. Agric., 2021)

Development of crop chlorophyll detector based on a type of interference filter optical sensor. - Di Song; Lang Qiao; Dehua Gao; Song Li; Minzan Li; Hong Sun; Junyong Ma (Comput. Electron. Agric., 2021)

Diagnosis of maize chlorophyll content based on hybrid preprocessing and wavelengths optimization. - Dehua Gao; Lang Qiao; Lulu An; Hong Sun; Minzan Li; Ruomei Zhao; Weijie Tang; Di Song (Comput. Electron. Agric., 2022)

Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery. - Lang Qiao; Dehua Gao; Ruomei Zhao; Weijie Tang; Lulu An; Minzan Li; Hong Sun (Comput. Electron. Agric., 2022)

UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages. - Lang Qiao; Weijie Tang; Dehua Gao; Ruomei Zhao; Lulu An; Minzan Li; Hong Sun; Di Song (Comput. Electron. Agric., 2022)

Deep learning assisted continuous wavelet transform-based spectrogram for the detection of chlorophyll content in potato leaves. - Ruomei Zhao; Lulu An; Weijie Tang; Dehua Gao; Lang Qiao; Minzan Li; Hong Sun; Jinbo Qiao (Comput. Electron. Agric., 2022)

Experimental Study on the Effect of Singularity on the Stiffness Modelling of Industrial Robots. - Dehua Gao; Kai Wu 004; Jiaquan Li; Junpei Zhong; Huan Zhao 001 (ICMRE, 2023)

Identifying the Impact of Artifacts-Based Exploration and Exploitation on Routines' Formation Dynamics: An Agent-Based Model. - Dehua Gao; Yumei Yang (J. Artif. Soc. Soc. Simul., 2023)

A grapevine trunks and intra-plant weeds segmentation method based on improved Deeplabv3 Plus. - Shuming Yang; Zheng Cui; Maoqiang Li; Jinhai Li; Dehua Gao; Fulong Ma; Yutan Wang (Comput. Electron. Agric., 2024)