Yongsheng Cao | Computer Science | Innovative Research Award

Published on by Research Hypothesis

Innovative Research Award

           Yongsheng Cao
Affiliation Shanghai Dianji University
Country China
Scopus ID 57195629313
Documents 19
Citations 441
h-index 9
Subject Area Computer Science
Event International Research Hypothesis Excellence Award

Yongsheng Cao

Shanghai Dianji University, China

Yongsheng Cao the Innovative Research Award recognizes researchers whose scholarly work demonstrates originality, technical excellence, and measurable academic influence. Yongsheng Cao, affiliated with Shanghai Dianji University, has established a research profile in Computer Science through peer-reviewed publications and a growing citation record. His documented research output reflects sustained engagement with scientific investigation and knowledge dissemination within his discipline.[1]

Abstract

Yongsheng Cao has contributed to Computer Science through peer-reviewed research, scholarly collaboration, and publications indexed in internationally recognized databases. His documented academic metrics indicate sustained scientific productivity and citation impact. These characteristics support consideration for recognition within research excellence initiatives emphasizing innovation, quality, and measurable scholarly influence.[1]

Keywords

Innovative Research Award; Yongsheng Cao; Computer Science; Shanghai Dianji University; Scientific Publications; Citation Impact; Research Excellence; Academic Innovation.

Introduction

Innovation in Computer Science is driven by rigorous experimentation, peer-reviewed publication, and continuous advancement of technological knowledge. Academic recognition programs evaluate these achievements using objective indicators including publication quality, citation performance, collaboration, and research significance. Yongsheng Cao’s scholarly record illustrates these characteristics through documented scientific contributions and measurable academic visibility.[1]

Research Profile

Yongsheng Cao is a Computer Science researcher at Shanghai Dianji University, China, with a strong record of scholarly contributions in the field. His research outputs include 19 Scopus-indexed publications, receiving 441 citations and achieving an h-index of 9, reflecting notable research impact and academic recognition. His work contributes to advancing knowledge and innovation within Computer Science through impactful scientific publications.

Research Contributions

The available publication record indicates sustained contributions to Computer Science through peer-reviewed articles, collaborative investigations, and internationally indexed scholarly outputs. Research activity demonstrates continuing participation in scientific communication while contributing to knowledge development in the discipline. Citation performance further suggests that portions of the published work have been recognized and referenced by the broader research community.[1]

Publications

The researcher has contributed to peer-reviewed Scopus-indexed publications in Computer Science, producing collaborative research outputs with measurable citation impact. Their work includes internationally recognized articles documented through DOI-indexed publication records.[2]

Research Impact

Academic impact is reflected through publication metrics including 19 indexed documents, 441 citations, and an h-index of 9. These indicators suggest consistent scholarly visibility and continuing influence within the academic literature. Such bibliometric evidence is commonly considered alongside qualitative assessment during academic recognition and award evaluation.[1]

Award Suitability

Based on publicly available bibliometric information, Yongsheng Cao demonstrates characteristics generally associated with candidates for the Innovative Research Award, including sustained publication activity, recognized scholarly impact, and ongoing contributions to Computer Science research. Final award decisions should additionally consider research originality, innovation, broader societal impact, leadership, and the complete body of scholarly achievements according to the award evaluation criteria.[1]

Conclusion

Yongsheng Cao’s documented academic profile reflects continued research productivity, measurable citation performance, and contributions within Computer Science. The available evidence supports recognition as an active researcher whose scholarly work contributes to the advancement of scientific knowledge while aligning with the objectives of academic excellence and innovation awards.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Yongsheng Cao, Author ID 57195629313. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57195629313
  2. International DOI Foundation. (n.d.). Digital Object Identifier (DOI) System.DOI:
  3. Research Hypothesis. (n.d.). International Research Hypothesis Excellence Award.
    https://researchhypothesis.com/
  4. Cao, Y., Zhang, Y., & Zhao, C. (2025). Carbon management in large-scale electric vehicle temporal and spatial scheduling with automotive electronic forensics.

Yanfeng Zhao | Computer Science | Innovative Research Award

Published on by Research Hypothesis

Innovative Research Award

Yanfeng Zhao
Affiliation Xi’an Fanyi University
Country China
Scopus ID 58684155500
Documents 5
Citations 59
h-index 5
Subject Area Computer Science
Event International Research Hypothesis Excellence Award
ORCID 0009-0004-2737-1124
Yanfeng Zhao
Xi’an Fanyi University, China

Yanfeng Zhao is associated with Xi’an Fanyi University, China, and has scholarly activity indexed within Scopus in the field of Computer Science. His documented publication record includes multiple indexed works and measurable citation impact that contribute to academic visibility and emerging research influence. The present article evaluates scholarly profile indicators and considers the suitability of recognition under the International Research Hypothesis Excellence Award framework.[1]

Abstract

This article presents a structured academic overview of Yanfeng Zhao and examines bibliometric indicators associated with scholarly visibility. Available Scopus-indexed records indicate activity within Computer Science research and provide evidence of publication output, citation metrics, and early-stage academic impact. Such indicators are often utilized to evaluate research contribution and recognition suitability.[1]

Keywords

Computer Science, Scopus, Bibliometrics, Research Evaluation, Citation Analysis, Academic Recognition, Research Impact

Introduction

Contemporary academic assessment increasingly incorporates publication metrics and citation performance to examine scholarly influence. Research indexing systems provide structured methods for evaluating scientific output and emerging contributions across disciplines.[2]

Research Profile

This researcher is affiliated with Xi’an Fanyi University and works in the field of Computer Science. Their scholarly profile includes 5 indexed publications, 59 citations, and an h-index of 5, reflecting active research contributions and academic impact.

Research Contributions

Available indicators suggest participation in computational research activities and scholarly communication within Computer Science. Citation activity and publication indexing imply contributions recognized by academic databases and research dissemination platforms.[1]

Publications

The researcher has 5 Scopus-indexed scholarly documents in Computer Science, with publications reflecting active research contributions and citation performance demonstrating academic impact and research visibility.

Research Impact

Bibliometric indicators such as citations and h-index provide quantitative measures frequently used to estimate scholarly reach. Citation records indicate measurable interaction with published work and may reflect academic influence within a research community.[3]

Award Suitability

The International Research Hypothesis Excellence Award recognizes emerging and impactful scholarly profiles based on research activity, contribution, visibility, and academic engagement. Existing indicators associated with this profile demonstrate measurable academic productivity and establish suitability for evaluation under recognition criteria.[4]

Conclusion

Yanfeng Zhao’s indexed research profile demonstrates an identifiable publication record and measurable citation activity in Computer Science. Bibliometric evidence provides a useful foundation for assessing academic recognition and scholarly progression within international research contexts.

References

  1. Elsevier. (n.d.). Scopus author details: Yanfeng Zhao, Author ID 58684155500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58684155500
  2. Hirsch JE. (2005). An index to quantify an individual’s scientific research output.
    DOI:https://doi.org/10.1073/pnas.0507655102
  3. Garfield E. Citation indexes and scholarly evaluation metrics.
    DOI:https://doi.org/10.1126/science.122.3159.108
  4. International Research Hypothesis Excellence Award. Research recognition criteria and academic evaluation framework.
    https://researchhypothesis.com/
  5. Zhao, Y. F., et al. (2025). An adaptive dual distillation framework for efficient remaining useful life prediction. Complex & Intelligent Systems.