Best Researcher Award
Cheng-I Chen – National Central University, Taiwan
Cheng-I Chen of National Central University, Taiwan, is presented in connection with the Best Researcher Award under the International Research Data Analysis Excellence & Awards. Available bibliographic information identifies a research record associated with 82 documents, 1,763 citations, and an h-index of 21 in the stated subject area of Utilities Analytics. [1]
Abstract
Cheng-I Chen is associated with National Central University, Taiwan, and a research profile categorized under Utilities Analytics. The available Scopus information records 82 documents, 1,763 citations, and an h-index of 21. These bibliometric indicators provide a quantitative basis for considering research productivity and scholarly visibility in the context of academic recognition. [2]
Keywords
Cheng-I Chen; National Central University; Taiwan; Utilities Analytics; research analytics; bibliometrics; scholarly impact; data analysis; Scopus; ORCID; Best Researcher Award.
Introduction
Research in utilities analytics applies quantitative and computational approaches to understand complex operational and data-driven systems. Cheng-I Chen is affiliated with National Central University, Taiwan, and is identified through Scopus author record 25421225500. The documented publication and citation indicators provide context for evaluating scholarly activity and recognition. [3]
Research Profile
Chen’s available research profile is associated with Utilities Analytics and National Central University. The Scopus record lists 82 documents, 1,763 citations, and an h-index of 21. These indicators describe the documented scholarly record without independently implying specific research methods, projects, or findings beyond information available through the identified researcher profile. [1]
Research Contributions
The researcher’s documented contributions can be considered through publication activity, citation accumulation, and sustained scholarly visibility within the stated Utilities Analytics subject area. An academic assessment should additionally examine individual publications, methodologies, datasets, collaborations, and practical outcomes. The available bibliometric record offers a useful quantitative starting point for such evaluation. [2]
Publications
The Scopus author information associated with Cheng-I Chen records 82 documents. This publication count indicates a substantial body of indexed scholarly output, although document types and individual publication subjects are not specified in the supplied record. Detailed evaluation should therefore refer to the underlying bibliographic entries rather than infer publication themes from aggregate metrics. [3]
Research Impact
The recorded citation count of 1,763 and h-index of 21 provide measurable indicators of scholarly visibility. Citation metrics can help contextualize research influence but should be interpreted alongside publication quality, field-specific citation patterns, collaboration, and substantive research contributions. Accordingly, these indicators represent evidence for assessment rather than definitive measures of overall academic impact. [1]
Award Suitability
The Best Researcher Award consideration is supported by the documented academic affiliation, indexed publication record, citation activity, and h-index associated with Cheng-I Chen. The stated research classification in Utilities Analytics aligns with a data-focused research recognition context. Final award assessment should consider verified publications, originality, research quality, contribution, and other applicable evaluation criteria.[2]
Conclusion
Cheng-I Chen’s documented profile combines affiliation with National Central University and a Scopus-indexed record of 82 documents, 1,763 citations, and an h-index of 21. Within Utilities Analytics, these indicators provide a structured basis for academic recognition. Comprehensive evaluation should supplement bibliometric measures with verified evidence of research quality, originality, and contribution. [3]
External Links
References
- Frequency and Voltage Stabilization With Polynomial Petri Fuzzy Neural Network Based Control Strategy for Microgrid Clusters.
https://www.researchgate.net/publication/393347179_Frequency_and_Voltage_Stabilization_With_Polynomial_Petri_Fuzzy_Neural_Network_Based_Control_Strategy_for_Microgrid_Clusters
- Optimizing Household Energy Consumption with PSO-Based Load Scheduling Strategy.
https://www.researchgate.net/publication/400250110_Optimizing_Household_Energy_Consumption_with_PSO-Based_Load_Scheduling_Strategy
- Dispatch Optimization of Energy Management for Microgrid System Based on Firefly Moving Regression with Reinforcement Learning Strategy.
https://www.researchgate.net/publication/395567448_Dispatch_Optimization_of_Energy_Management_for_Microgrid_System_Based_on_Firefly_Moving_Regression_with_Reinforcement_Learning_Strategy