Innovative Research Award
Minzhong Yu — University Hospitals Cleveland Medical Center, United States
| Minzhong Yu |
| Affiliation |
University Hospitals Cleveland Medical Center |
| Country |
United States |
| Scopus ID |
55262327400 |
| Documents |
89 |
| Citations |
1,725 |
| h-index |
23 |
| Subject Area |
Vision Sensing |
| Event |
Global Sensor Awards |
| ORCID |
0000-0002-6905-1522 |
Minzhong Yu is a researcher affiliated with University Hospitals Cleveland Medical Center in the United States, with a research profile identified in the area of vision sensing. The available bibliometric information records 89 documents, 1,725 citations, and an h-index of 23. These indicators provide a quantitative view of the researcher’s scholarly publication and citation activity as indexed by Scopus. [1]
The Innovative Research Award recognizes research activity that demonstrates originality, methodological development, scientific relevance, and potential contribution to advancing sensing technologies. Within the context of the Global Sensor Awards, the profile of Minzhong Yu is considered in relation to the broader field of sensor research, particularly vision sensing and related technological applications.
Abstract
This article presents an academic recognition profile for Minzhong Yu in connection with the Innovative Research Award at the Global Sensor Awards. Yu is affiliated with University Hospitals Cleveland Medical Center and is associated with the research area of vision sensing. The supplied bibliometric profile records 89 documents, 1,725 citations, and an h-index of 23. [1] These indicators are considered alongside the relevance of vision sensing to contemporary sensor systems, imaging technologies, intelligent monitoring, and data-driven sensing applications.
Keywords
- Innovative Research Award
- Vision Sensing
- Sensor Technology
- Sensing Systems
- Research Impact
- Scientific Innovation
- Global Sensor Awards
Introduction
Vision sensing is an important area of modern sensing research in which optical, imaging, computational, and signal-processing techniques can be combined to obtain information from physical environments. Vision-based sensing systems may support applications requiring object recognition, measurement, monitoring, classification, localization, and interpretation of visual information.
The development of advanced sensing systems increasingly involves the integration of sensor hardware with computational methods and analytical frameworks. Such integration can improve the ability of sensing platforms to acquire, process, and interpret information in complex environments. The broader evolution of sensor technologies has therefore created interdisciplinary research opportunities spanning engineering, computing, imaging, materials, biomedical applications, and intelligent systems.
Against this background, the Innovative Research Award provides a framework for recognizing research contributions that demonstrate scientific originality and relevance to sensor-related disciplines. Assessment of an individual research profile can include publication activity, citation indicators, research subject area, methodological contributions, and broader scientific relevance.
Research Profile
Minzhong Yu is affiliated with University Hospitals Cleveland Medical Center in the United States. The supplied profile identifies Vision Sensing as the principal subject area for this recognition profile. The Scopus author identifier associated with the supplied record is 55262327400. [1]
According to the provided bibliometric data, the researcher has 89 indexed documents and 1,725 citations, with an h-index of 23. [1] Bibliometric indicators such as document counts, citation counts, and h-index values are commonly used as quantitative measures of scholarly output and citation visibility, although they do not independently establish the quality or originality of individual research contributions.
The researcher is also associated with an ORCID identifier supplied for this profile. ORCID provides a persistent identifier designed to distinguish researchers and connect scholarly activities with an individual research identity. [2]
Research Contributions
The principal research area identified for Yu is vision sensing. Research in this field can involve the development and application of sensing approaches that transform visual or optical information into measurable data for subsequent analysis. Depending on the application, such systems may combine image acquisition, sensing hardware, computational processing, feature extraction, classification, and decision-support techniques.
Within the wider sensor research landscape, vision sensing has relevance to applications where non-contact observation, spatial information, visual measurement, or automated interpretation is required. The field can intersect with artificial intelligence, machine vision, biomedical imaging, robotics, environmental monitoring, and intelligent sensing systems.
- Development and application of approaches associated with vision-based sensing.
- Integration of visual information with analytical and sensing methodologies.
- Contribution to the broader scientific development of sensor-based measurement and monitoring.
- Research activity documented through an indexed scholarly publication profile.
The specific contribution of individual publications should be evaluated from the original research articles, methodologies, experimental evidence, and application context rather than inferred solely from bibliometric indicators.
Publications
The supplied Scopus profile records 89 documents associated with the researcher. [1] The document count represents indexed scholarly output available through the supplied author record. Because publication titles, journal information, publication years, and article-level identifiers were not provided as part of the input data, individual publications are not listed here to avoid introducing unverified bibliographic information.
For a complete and current publication record, the Scopus author profile should be consulted directly. Publication-level evaluation may include article relevance, peer-review status, journal or conference venue, citation activity, methodological originality, and the contribution of each work to the relevant research field.
Research Impact
The supplied citation profile reports 1,725 citations and an h-index of 23. [1] These values indicate that the indexed research output has received citations within the scholarly literature represented by the relevant database. Citation measures can provide useful contextual evidence of research visibility, but they should be interpreted alongside publication quality, research significance, reproducibility, and disciplinary context.
In the context of vision sensing, research impact may extend beyond citation metrics through contributions to sensing methodologies, improved measurement capabilities, interdisciplinary applications, technology development, and the advancement of knowledge. A complete assessment would require examination of the researcher’s individual publications and their scientific or practical outcomes.
Award Suitability
The Innovative Research Award is associated with the Global Sensor Awards and is intended to recognize research profiles demonstrating innovation and relevance within sensor-related disciplines. Based on the supplied information, Yu’s identified subject area of Vision Sensing provides a direct connection with the broader scope of sensing technology.
The supplied bibliometric profile also provides measurable evidence of sustained scholarly activity, including 89 documents, 1,725 citations, and an h-index of 23. [1] These indicators may form part of an academic recognition assessment, while the originality, scientific significance, and specific technical contributions of the underlying research should be evaluated from primary scholarly sources.
On the information provided, the profile demonstrates three relevant characteristics for consideration: an identified specialization in vision sensing, an established indexed publication record, and measurable citation impact. These factors provide a reasonable academic basis for consideration for an innovation-oriented sensor research recognition, subject to the award’s formal evaluation procedures and criteria.
Conclusion
Minzhong Yu is presented in this academic recognition profile as a researcher affiliated with University Hospitals Cleveland Medical Center and working within the identified subject area of Vision Sensing. The supplied Scopus information records 89 documents, 1,725 citations, and an h-index of 23. [1]
The combination of research activity in vision sensing and an established indexed scholarly record makes the profile relevant to an award focused on innovative research in sensing technology. Final recognition, however, should be determined through the applicable award assessment process and evaluation of the underlying scholarly contributions.
External Links
References
- Elsevier. (n.d.). Scopus author details: Minzhong Yu, Author ID 55262327400. Scopus.
https://www.scopus.com/pages/authors/55262327400
- ORCID. (n.d.). ORCID record and persistent researcher identifier. ORCID.
https://orcid.org/0000-0002-3115-8930
- Global Sensor Awards. (n.d.). Global Sensor Awards.
https://globalsensorawards.com/