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Mendeley readers
| Title |
Fault diagnosis of transformer using artificial intelligence: A review
|
|---|---|
| Published in |
Frontiers in Energy Research, September 2022
|
| DOI | 10.3389/fenrg.2022.1006474 |
| Authors |
Yan Zhang, Yufeng Tang, Yongqiang Liu, Zhaowen Liang |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Student > Master | 2 | 7% |
| Professor | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 17 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 31% |
| Mathematics | 1 | 3% |
| Unspecified | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 55% |