Emmanuel Olusola Babalola | Artificial Intelligence | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Emmanuel Olusola Babalola — Tanlink Tech, China

Emmanuel Olusola Babalola
Affiliation Tanlink Tech
Country China
Scopus ID 58309423500
Documents 2
Citations 9
h-index 1
Subject Area Artificial Intelligence
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-6114-5228

Emmanuel Olusola Babalola is associated with Tanlink Tech in China and has an identifiable research profile in Artificial Intelligence. This academic recognition page summarizes the available bibliometric indicators, researcher identifiers, publication record, and suitability for the Best Researcher Award under the International Research Data Analysis Excellence & Awards. [1]

Abstract

This article presents an academic recognition profile of Emmanuel Olusola Babalola based on the supplied institutional, bibliometric, and researcher-identifier information. The profile records two Scopus-indexed documents, nine citations, and an h-index of one, while identifying Artificial Intelligence as the stated subject area. The information supports structured consideration for academic recognition.[2]

Keywords

Best Researcher Award; Emmanuel Olusola Babalola; Artificial Intelligence; Research Data Analysis; Scopus; Bibliometric Indicators; Research Impact; Academic Recognition; Tanlink Tech; ORCID.

Introduction

Academic recognition commonly considers research activity, publication evidence, citation performance, scholarly identifiers, and disciplinary relevance. This profile examines the available indicators for Emmanuel Olusola Babalola in Artificial Intelligence, providing a concise evidence-based overview for recognition purposes while distinguishing documented bibliometric information from broader qualitative assessment of research contributions.[3]

Research Profile

Emmanuel Olusola Babalola is affiliated with Tanlink Tech in China and is identified through Scopus Author ID 58309423500 and ORCID 0000-0001-6114-5228. The supplied profile information places the researcher within Artificial Intelligence and provides persistent identifiers that support attribution, profile verification, and scholarly record disambiguation.[2]

Research Contributions

The available profile identifies Artificial Intelligence as the principal subject area for this recognition record. With two indexed documents recorded, the documented contributions represent participation in scholarly research and publication. Assessment of contribution quality, originality, technical significance, and wider application should be supported by the underlying publications and their associated metadata. [2]

Publications

The supplied Scopus metrics report two documents associated with Scopus Author ID 58309423500. These records provide the quantitative publication basis used in this profile. Detailed publication titles, journal information, authorship positions, publication dates, and DOI metadata should be consulted through the linked scholarly profile before making publication-specific claims. [1]

Research Impact

The available bibliometric indicators record nine citations and an h-index of one. These measures indicate that the documented publications have received measurable scholarly attention. Citation counts and h-index values are context-dependent and may change as databases update; consequently, they should be interpreted alongside discipline, publication age, collaboration patterns, and qualitative evidence.[3]

Award Suitability

Based on the supplied evidence, the researcher has a traceable scholarly identity, indexed publication activity, and measurable citation indicators relevant to Artificial Intelligence. These documented factors provide a basis for consideration within the Best Researcher Award evaluation process. Final suitability should remain subject to the event’s formal eligibility criteria and independent review. [2]

Conclusion

This profile summarizes the available academic information for Emmanuel Olusola Babalola, including institutional affiliation, persistent researcher identifiers, publication count, citations, h-index, and stated subject area. The evidence provides a structured foundation for recognition review. Further evaluation may incorporate complete publication records, research outputs, qualitative achievements, and current verification of bibliometric data. [1]

References

  1. Artificial intelligence and firms green performance: The mediating roles of product- and customer-oriented servitization strategies.
    https://www.sciencedirect.com/science/article/abs/pii/S0040162526001058
  2. The Impact of Inflation Rate on Private Consumption Expenditure and Economic Growth—Evidence from Ghana.
    https://www.researchgate.net/publication/361166137_The_Impact_of_Inflation_Rate_on_Private_Consumption_Expenditure_and_Economic_Growth-Evidence_from_Ghana
  3. Employee Motivation and its Effects on Employee Productivity/ Performance.
    https://www.researchgate.net/publication/355735499_Employee_Motivation_and_its_Effects_on_Employee_Productivity_Performance_a
    https://www.researchgate.net/publication/355735499_Employee_Motivation_and_its_Effects_on_Employee_Productivity_Performance_a

Yi-Chao Wu | Artificial Intelligence | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Yi-Chao Wu
National Taipei University of Technology

Yi-Chao Wu
Affiliation National Taipei University of Technology
Country Taiwan
Scopus ID 55574208118
Documents 40
Citations 144
h-index 7
Subject Area Artificial Intelligence
Event Research Data Analysis Awards
ORCID 0009-0002-2386-6117

Yi-Chao Wu is affiliated with National Taipei University of Technology and has contributed to the advancement of Artificial Intelligence through scholarly publications and collaborative research. His academic portfolio reflects sustained engagement in intelligent systems, computational methodologies, and applied AI studies while demonstrating measurable research visibility through indexed publications and citations.[1]

Abstract

This article presents a concise overview of Yi-Chao Wu’s academic achievements in Artificial Intelligence, highlighting publication performance, scholarly influence, and research engagement. The profile summarizes recognized indicators commonly used to evaluate research excellence within international academic communities.[2]

Keywords

Artificial Intelligence, Intelligent Systems, Machine Learning, Computational Intelligence, Data Analytics, Research Innovation, Scholarly Publications, Scopus, Academic Recognition, Research Excellence.

Introduction

Artificial Intelligence continues to influence scientific discovery and technological advancement across multiple disciplines. Researchers such as Yi-Chao Wu contribute to this evolving landscape through peer-reviewed studies that support innovation and evidence-based academic development.[3]

Research Profile

With forty indexed publications, one hundred forty-four citations, and an h-index of seven, the research profile demonstrates consistent scholarly activity. These indicators suggest sustained participation in Artificial Intelligence research and collaboration within the academic community.[1]

Research Contributions

The research contributions emphasize intelligent computational approaches, algorithmic development, and practical applications of AI technologies. Such work supports ongoing progress in data-driven decision making and advanced computational research across interdisciplinary domains.[4]

Publications

The publication record includes articles indexed in internationally recognized databases, reflecting peer-reviewed scientific dissemination. Continued publication activity contributes to academic visibility while encouraging knowledge exchange and future collaborative opportunities.[1]

Research Impact

Citation performance and publication metrics indicate a measurable level of scholarly influence within the Artificial Intelligence research community. These indicators provide objective evidence supporting research quality, visibility, and continuing academic engagement.[5]

Award Suitability

The documented research achievements, publication record, and recognized scholarly metrics align with common evaluation criteria for research excellence awards. The profile represents a balanced combination of productivity, scientific contribution, and professional academic development.

Conclusion

Yi-Chao Wu’s academic profile reflects continuous engagement in Artificial Intelligence research supported by internationally indexed publications and citation-based evidence. The documented achievements demonstrate meaningful scholarly participation while providing a strong foundation for continued research recognition.[2]

References

    1. Elsevier. (n.d.). Scopus author details: Yi-Chao Wu, Author ID 55574208118. Scopus.
      https://www.scopus.com/pages/authors/55574208118
    2. ORCID. (n.d.). Research profile of Yi-Chao Wu.
      https://orcid.org/0009-0002-2386-6117
    3. Wu, Y.-C., Xu, Z.-Q., & Lee, Y.-L. (2026). Dual-camera blind spot detection system by using pruned lightweight neural networks and data augmentation. Engineering Applications of Artificial Intelligence. Advance online publication
    4. Wu, Y.-C., Chen, Z.-S., & Lu, W.-J. (2026). Enhanced real-time traffic sign recognition via lightweight neural networks and wavelet transform. IET Intelligent Transport Systems. Advance online publication.
      https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70286
    5. Wu, Y.-C., Lin, Z.-Y., Ciou, Y.-R., & Xu, J.-X. (2026, January 21). Traffic signal image recognition with lightweight machine learning model. In Proceedings of the ACM Conference (Conference paper).
      https://doi.org/10.1145/3796315.3796360