Wei Yan is an Associate Professor at Shandong Normal University, China, specializing in Computer Science. Holding a PhD from INSA de Strasbourg and Université de Strasbourg, France, he has a rich academic background. Wei’s expertise lies in Building Information Model, Knowledge Graph, and Explainable Artificial Intelligence, with a focus on predictive maintenance.
Author Metrics:
While the bio provides a comprehensive list of publications, it does not include specific author metrics such as citation counts, h-index, or other quantitative measures of research impact.
Scopus Profile
Citations: The number of times Wei Yan’s research papers and documents have been cited by other researchers. Higher citation counts generally indicate that the author’s work has had a significant impact and is considered valuable by peers in the academic community.
Documents: The total number of research papers, articles, or documents authored by Wei Yan. This metric reflects the overall productivity and output of the author.
h-index: The h-index is a numerical indicator of an author’s productivity and citation impact. An author has an h-index of ‘7,’ suggesting that there are at least seven papers that have been cited at least seven times. It’s a balanced metric that considers both the quantity and impact of an author’s work.
Education:
Wei Yan pursued his education across esteemed institutions, earning a BEng in Computer Science and Technology from Qufu Normal University in 2006 and completing a PhD in Computer Science from INSA de Strasbourg and Université de Strasbourg, France, in 2014.
Research Focus:
His research revolves around Building Information Model, Knowledge Graph, Explainable Artificial Intelligence, and Predictive Maintenance. Wei’s work extends to inventive problem-solving methodologies and applications in industrial engineering design.
Professional Journey:
Wei Yan’s professional journey encompasses roles as a Postdoctoral Researcher at Université de Claude Bernard Lyon 1, France, and a Lecturer at Shandong Normal University, China. He also taught at ECAM Strasbourg, France, showcasing a diverse and international experience.
Publications Top Noted & Contributions:
Wei Yan has made significant contributions to his field with multiple peer-reviewed journal articles and conference proceedings. His publications cover topics such as ontology-based inventive problem solving, TRIZ methodology, and the application of knowledge graphs in predictive maintenance.
Title: Intelligent Predictive Maintenance of Hydraulic Systems Based on Virtual Knowledge Graph
- Authors: Yan, W.; Shi, Y.; Ji, Z.; Wang, W.; Cao, Q.
- Journal: Engineering Applications of Artificial Intelligence, 2023, Volume 126, Page 106798
- Abstract: The abstract is not provided, as indicated by “This link is disabled.”
Title: A Frequency-Tunable Fractional-N PLL for High-Energy Physics Experiments
- Authors: Gong, Y.; Yan, W.; Luo, M.; Wang, C.; Zhang, L.
- Journal: IEEE Transactions on Nuclear Science, 2023, Volume 70(4), Pages 722–729
- Abstract: The abstract is not provided, as indicated by “This link is disabled.”
- Citations: 1 citation
Title: Bearing Fault Diagnosis and Interpretation Based on 2D Images and Convolutional Neural Network
- Authors: Tian, Z.; Zhang, X.; Yan, W.; Wang, J.
- Conference: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Pages 2155–2162
- Abstract: The abstract is not provided, as indicated by “This link is disabled.”
- Citations: 0 citations
Title: Mechanical Fault Prediction Based on Event Knowledge Graph
- Authors: He, L.; Zhang, L.; Yan, W.
- Conference: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K – Proceedings, 2023, Volume 2, Pages 164–173
- Abstract: The abstract is not provided, as indicated by “This link is disabled.”
- Citations: 0 citations
Title: A Rule-Based Heuristic Methodology for Su-Field Analysis in Industrial Engineering Design
- Authors: Yan, W.; Zanni-Merk, C.; Cavallucci, D.; Zhang, L.; Ji, Z.
- Journal: Information (Switzerland), 2022, Volume 13(3), Page 143
- Abstract: The abstract is not provided, as indicated by “This link is disabled.”
