Identifying technology opportunity using SAO semantic mining and outlier detection method
A case of triboelectric nanogenerator technology
Bibliographic Data
| ID | 21401752 |
|---|---|
| Authors | Xin Li (0000-0002-3425-8566, Beijing University of Technology), Yundi Wu (Beijing University of Technology), Haolun Cheng (Beijing Institute of Graphic Communication), Qianqian Xie (0000-0002-8914-6035, Leiden University), Tugrul U Daim (0000-0003-1432-8958, Chaoyang University of Technology, corresponding author) |
| Year | 2023 |
| Volume | 189 |
| Pages | 122353 |
| Publication date | 2023-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2023.122353 |
| OpenAlex | W4318821123 |
| Language | EN |
| Citations received | 8 |
| References cited | 52 |
Anomaly detection · Data science · Electrical engineering · Nanogenerator · Outlier · Triboelectric effect · Advanced Sensor and Energy Harvesting Materials · Anomaly Detection Techniques and Applications · Artificial Intelligence · Computer Science · Engineering · Industrial Vision Systems and Defect Detection · Materials Science
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| Citations per year | 2.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |