| Title |
Patent text mining based hydrogen energy technology evolution path identification |
| ID_Doc |
32389 |
| Authors |
Xue, DD; Shao, ZF |
| Title |
Patent text mining based hydrogen energy technology evolution path identification |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.ijhydene.2023.10.316 |
| Abstract |
With the rise of the hydrogen energy industry, countries worldwide have introduced relevant policies to elevate the development of the hydrogen energy industry to the height of national energy strategy, and hydrogen energy will become a significant factor affecting the future industrial structure and national competitiveness. The path of technology evolution can trace the history of technology development and predict the trend of technology development, which can help to grasp the first opportunity of technological innovation and lead the direction of technological development. However, there are fewer studies on technology evolution in hydrogen energy. The existing studies mainly use bibliometrics to mine a single technology, and the studies using text mining suffer from the defect that keywords are difficult to decipher. Given this, this paper conducts research on identifying the technology evolution path in the field of hydrogen energy, adopts text mining methods to mine patent data, and introduces document vectorization and phrase mining algorithms to improve the mining depth while increasing the interpretability of the results. It is found that the hydrogen energy industry is in a period of rapid development; the succession and integration of hydrogen energy technologies are good, and the technological development trend focuses on hydrogen storage materials, hydrogen fuel cell vehicles, and green hydrogen preparation. |
| Author Keywords |
Hydrogen energy industry chain; Technology evolution path; Text mining; Patent data |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001134969200001 |
| WoS Category |
Chemistry, Physical; Electrochemistry; Energy & Fuels |
| Research Area |
Chemistry; Electrochemistry; Energy & Fuels |
| PDF |
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