Research Excellence Award
Jian Qin — Cranfield University, United Kingdom
The Research Excellence Award recognizes scholarly contributions, research productivity, and the application of evidence-based approaches to scientific and professional challenges. This article presents the supplied academic profile of Jian Qin, affiliated with Cranfield University, United Kingdom. The reported bibliometric indicators provide a starting point for reviewing research activity and scholarly visibility in the stated subject area of quality control. [1]
Abstract
This article outlines the supplied research profile of Jian Qin, affiliated with Cranfield University in the United Kingdom. The stated subject area is quality control, and the provided Scopus figures report 31 documents, 2,355 citations, and an h-index of 18. These metrics describe aspects of scholarly output and citation activity but do not independently establish research quality or award eligibility.[2]
Keywords
Research Excellence Award; Jian Qin; Cranfield University; United Kingdom; quality control; bibliometrics; research assessment; citation analysis; academic publications; scholarly impact.
Introduction
Research excellence is assessed through scholarly contributions, methodological rigor, publication quality, and the relevance of findings to scientific or professional practice. Bibliometric indicators can help describe research visibility but should be interpreted alongside qualitative evidence. This article summarizes the supplied information about Jian Qin and outlines considerations relevant to evaluating research activity in quality control. [3]
Research Profile
Jian Qin is identified in the supplied information as a researcher affiliated with Cranfield University in the United Kingdom. Quality control is listed as the subject area. The provided Scopus record reports 31 documents, 2,355 citations, and an h-index of 18. These figures offer a quantitative overview of the reported publication record and should be verified against the current author profile. [2]
Research Contributions
Quality control research can support process consistency, measurement reliability, defect reduction, and evidence-based decision-making. Evaluating Jian Qin’s specific contributions requires reviewing individual publications, research methods, findings, and their relevance to the field. The supplied bibliometric indicators demonstrate reported scholarly activity but do not independently identify particular discoveries or establish the significance of individual contributions. [3]
Publications
The supplied Scopus information lists 31 documents associated with Jian Qin’s author profile. A comprehensive publication review should examine article titles, publication venues, research methods, co-authorship, and relevance to quality control. Individual publication details and DOI identifiers should be obtained from verified bibliographic records before inclusion in a formal academic profile. [1]
Research Impact
The reported 2,355 citations and h-index of 18 provide quantitative indicators of publication visibility and citation history. However, citation patterns differ across disciplines and publication periods. A balanced assessment should also examine research rigor, practical applications, independent validation, and influence on subsequent studies rather than relying exclusively on numerical indicators.[2]
Award Suitability
The Research Excellence Award may be relevant to researchers whose work demonstrates methodological rigor, originality, sustained scholarly engagement, and contributions to their fields. Jian Qin’s supplied publication and citation metrics may inform an initial review. Final suitability should be determined through verified publications, documented achievements, the award’s published criteria, and a transparent assessment of research quality. [3]
Conclusion
The supplied information identifies Jian Qin as affiliated with Cranfield University, with quality control listed as the subject area. The reported Scopus indicators offer a starting point for reviewing scholarly activity and citation visibility. A comprehensive evaluation of research excellence should combine verified bibliographic evidence, research quality, practical significance, and the award’s published assessment criteria.[2]
External Links
References
- Design optimization of laminated composite structures using artificial neural network and genetic algorithm.
https://www.researchgate.net/publication/365772770
- Research and Application of Machine Learning for Additive Manufacturing
https://www.researchgate.net/publication/358706884
- Energy consumption modelling using deep learning embedded semi-supervised learning.
https://www.researchgate.net/publication/334376033