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), Donghua Zhu(Beijing Institute of Technology), Ming Lei(Beijing University of Posts and Telecommunications), Pengjun Qiu(Beijing Institute of Technology)
Cited by 71
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
|HAL (Le Centre pour la Communication Scientifique Directe)|2015|44