Identification of technology development trends based on subject–action–object analysis: The case of dye-sensitized solar cells
Xuefeng Wang(Beijing Institute of Technology), Alan L. Porter(Georgia Institute of Technology), Liliana Mitkova(Laboratoire Ville Mobilité Transport), Ming Lei(Shenyang Ligong University), Pengjun Qiu(Beijing Institute of Technology), Donghua Zhu(Beijing Institute of Technology)
HAL (Le Centre pour la Communication Scientifique Directe)
July 17, 2015
Cited by 44
Related Papers
Machine learning in materials science
|InfoMat|2019|999
Deep-FSMN for Large Vocabulary Continuous Speech Recognition
|Unknown|2018|128
A Steel Surface Defect Recognition Algorithm Based on Improved Deep Learning Network Model Using Feature Visualization and Quality Evaluation
|IEEE Access|2020|76
Identification of technology development trends based on subject–action–object analysis: The case of dye-sensitized solar cells
|Technological Forecasting and Social Change|2015|71