Dabiah Alboaneen | Computer Science and Artificial Intelligence | Innovative Research Award

Published on by Best Achievements

Innovative Research Award

Dabiah Alboaneen
Imam Abdulrahman bin Faisal University

Dabiah Alboaneen
Affiliation Imam Abdulrahman bin Faisal University
Country Saudi Arabia
Scopus ID 56530765900
Documents 30
Citations 553
h-index 13
Subject Area Computer Science and Artificial Intelligence
Event Global Best Achievements Awards
ORCID 0000-0003-2215-9963

Dabiah Alboaneen is a researcher affiliated with Imam Abdulrahman bin Faisal University in Saudi Arabia whose academic profile is situated within Computer Science and Artificial Intelligence. Her scholarly record reflects research activity supported by internationally indexed publications, citation performance, and continued engagement with computational research. The documented profile includes 30 research documents, 553 citations, and an h-index of 13, providing measurable indicators of scholarly visibility and research productivity.[1]

Abstract

Dabiah Alboaneen is a computer science researcher affiliated with Imam Abdulrahman bin Faisal University in Saudi Arabia, with an academic profile focused on Computer Science and Artificial Intelligence. Her research profile demonstrates sustained scholarly activity supported by indexed research publications and measurable citation influence. The supplied academic record identifies 30 documents, 553 citations, and an h-index of 13 under Scopus Author ID 56530765900. Her ORCID identifier provides an additional persistent connection to her scholarly identity. The combination of research productivity, citation visibility, and engagement with artificial intelligence provides an academic foundation for consideration for the Innovative Research Award in recognition of scholarly contribution.

Keywords

Artificial Intelligence, Computer Science, Machine Learning, Deep Learning, Data Science, Intelligent Systems, Computational Research, Research Innovation, Predictive Analytics, Natural Language Processing, Scholarly Communication, Saudi Arabia.

Introduction

Computer Science and Artificial Intelligence represent rapidly developing research fields that integrate computational methods, data-driven analysis, intelligent algorithms, and emerging technologies. Research within these disciplines contributes to the development of systems capable of supporting complex analytical and decision-making tasks. Within this academic context, Dabiah Alboaneen’s profile reflects sustained engagement with computer science and artificial intelligence research, supported by an internationally identifiable scholarly record and measurable bibliometric indicators.[1]

Research Profile

The research profile of Dabiah Alboaneen demonstrates sustained academic productivity within Computer Science and Artificial Intelligence. Her institutional affiliation with Imam Abdulrahman bin Faisal University places her research within a major academic environment in Saudi Arabia. The supplied Scopus record identifies 30 documents, 553 citations, and an h-index of 13, while ORCID provides a persistent researcher identifier for scholarly attribution and discovery.[1] [2]

Research Contributions

Alboaneen’s academic contribution is positioned within the broader development of artificial intelligence and computational research. Her research profile provides evidence of continuing scholarly activity and publication output in a field characterized by rapid methodological development. Through research connected with computer science and artificial intelligence, her academic work contributes to the broader body of knowledge concerned with computational approaches, intelligent technologies, data-driven methods, and the development of emerging digital solutions.[1]

Publications

The supplied profile records 30 scholarly documents associated with Dabiah Alboaneen through the Scopus author record. This publication activity provides evidence of sustained research engagement and scholarly communication within Computer Science and Artificial Intelligence. The citation record further indicates that the published research has received attention within the academic literature. Specific publication titles and DOI records were not included in the supplied profile data and therefore are not listed here without independent verification.[1]

Research Impact

The reported citation count of 553 and h-index of 13 provide measurable indicators of the academic visibility associated with the research profile. Such bibliometric measures can assist in understanding the extent to which published research has been referenced within scholarly literature. Together with 30 documented research documents, these indicators demonstrate an established publication record and continuing academic engagement in Computer Science and Artificial Intelligence.[1]

Award Suitability

The Innovative Research Award is intended to recognize meaningful research activity, scholarly productivity, and contributions to an identified research discipline. Dabiah Alboaneen’s profile aligns with these considerations through documented research activity in Computer Science and Artificial Intelligence, 30 indexed documents, 553 citations, and an h-index of 13. These indicators provide a quantitative basis for academic evaluation, while the final award determination remains subject to the applicable assessment process of the Global Best Achievements Awards.[1] [4]

Conclusion

Dabiah Alboaneen has established an identifiable academic research profile in Computer Science and Artificial Intelligence through sustained publication activity and measurable scholarly visibility. The supplied record of 30 documents, 553 citations, and an h-index of 13 demonstrates continued engagement with the research community. Her institutional affiliation and persistent ORCID and Scopus identifiers further support the traceability of her scholarly record and provide a foundation for consideration for the Innovative Research Award.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Dabiah Alboaneen, Author ID 56530765900. Scopus.
    https://www.scopus.com/pages/authors/56530765900
  2. ORCID. (n.d.). Dabiah Alboaneen — ORCID record. ORCID.
    https://orcid.org/0000-0003-2215-9963
  3. Google Scholar. (n.d.). Dabiah Alboaneen — Google Scholar profile.
    https://scholar.google.co.uk/citations?user=4ZvRmmQAAAAJ
  4. Global Best Achievements Awards. (n.d.). Global Best Achievements Awards.
    https://bestachievements.com/

Jing-Li Fu | Robotics | Best Research Article Award

Published on by Best Achievements

Prof. Dr. Jing-Li Fu | Robotics | Best Research Article Award

Prof. Dr. Jing-Li Fu | Shandong Vocational University of Foreign Affairs, Zhejiang Sdi-Tech University |  China 

Prof. Dr. Fu Jingli is a distinguished scholar in mathematics and applied mechanics, currently serving as a second-level professor and doctoral supervisor at Zhejiang University of Technology. With a prolific academic career, he has authored over 150 research papers, with more than 100 indexed by SCI and over 70 by EI. His work has been cited over 1,000 times in SCI journals. He is known for advancing the theory of symmetries in dynamical systems. His contributions span theoretical innovation and practical applications, establishing him as a prominent figure in China’s scientific and educational landscape.

Profile

Scopus
Orcid 

Education

Prof. Dr. Fu Jingli earned his Ph.D. in a technical field and currently serves as a second-level professor and doctoral supervisor at Zhejiang University of Technology. His academic journey has been marked by rigorous scientific training and specialization in mechanics and dynamical systems. With deep expertise developed through advanced research and mentoring, he has cultivated a strong academic foundation. His education laid the groundwork for hosting several national-level projects and producing highly cited publications. Prof. Fu’s scholarly background reflects a commitment to excellence, both in teaching and research, and has significantly shaped his contributions to science and engineering.

Prof. Dr. Fu Jingli is a senior academic with extensive experience in research, teaching, and supervision. As a second-level professor at Zhejiang University of Technology, he has led five projects funded by the National Natural Science Foundation of China. With a strong research record and mentoring history, he has guided numerous postgraduate and doctoral students. He contributed to both theoretical research and curriculum innovation. His experience also includes collaboration with national educational and scientific bodies, significantly advancing the field of dynamical systems and mathematical modeling. His expertise is reflected in national and provincial awards and a substantial publication record.

Research Focus

Prof. Fu Jingli’s research focuses on Noether symmetries, conserved quantities in nonconservative dynamical systems, and geometric mechanics. His influential 2003 paper in Physics Letters A, co-authored with Li-Qun Chen, has been cited over 50 times, showcasing its impact in theoretical physics. He explores differential equations, variational principles, and symmetry-based analytical mechanics. His work aids in understanding physical systems lacking traditional conservation laws. Through mathematical modeling and theoretical analysis, his contributions bridge pure mathematics with applied science, supporting advances in physics, engineering, and control systems. His research significantly shapes developments in symmetry methods and integrability in modern dynamics.

Awards and Honors

Prof. Fu Jingli has received multiple prestigious honors for his contributions to science and education. He earned a second prize (first place) in the Zhejiang Provincial Science and Technology Award and a second prize in the Natural Science Award from the Ministry of Education (second place). He also received a second prize in the Shanghai Science and Technology Progress Award (second place). In the field of education, he won a first prize in provincial teaching achievements (first place). These accolades reflect his dual excellence in research and pedagogy, marking him as a key contributor to China’s scientific and academic progress.

 Publications Top Notes

Title: Basic Principles of Deformed Objects with Methods of Analytical Mechanics
Journal: Journal of Nonlinear Mathematical Physics
Year: 2024
Citations: 1
Authors: Fu Jingli, others not specified

Title: Lie Symmetries and Conserved Quantities of Static Bertotti–Robinson Spacetime
Journal: Chinese Journal of Physics
Year: 2024
Citations: 2
Authors: Fu Jingli, others not specified

Title: Dynamics Analysis of a Nonlinear Controlled Predator–Prey Model with Complex Poincaré Map
Journal: Nonlinear Analysis: Modelling and Control
Year: 2024
Citations: 1
Authors: Fu Jingli, others not specified

Title: Fractional Hamilton’s Canonical Equations and Poisson Theorem of Mechanical Systems with Fractional Factor
Journal: Mathematics
Year: 2023
Citations: 1
Authors: Fu Jingli, others not specified

Title: Dynamic Analysis of a Phytoplankton-Fish Model with the Impulsive Feedback Control Depending on the Fish Density and Its Changing Rate
Journal: Mathematical Biosciences and Engineering
Year: 2023
Citations: 2
Authors: Fu Jingli, others not specified

Title: Lie Group Analysis Method for Wall Climbing Robot Systems
Journal: Indian Journal of Physics
Year: 2022
Citations: 4
Authors: Fu Jingli, others not specified

Title: Noether Symmetries and Conserved Quantities of Wall Climbing Robot System
Journal: Lixue Xuebao (Chinese Journal of Theoretical and Applied Mechanics)
Year: 2022
Citations: 6
Authors: Fu Jingli, others not specified

Title: A Symplectic Algorithm for Constrained Hamiltonian Systems
Journal: Axioms
Year: 2022
Citations: 4
Authors: Fu Jingli, others not specified

Title: Sensitivity Analysis of Pesticide Dose on Predator-Prey System with a Prey Refuge
Journal: Journal of Applied Analysis and Computation
Year: 2022
Citations: 4
Authors: Fu Jingli, others not specified

Title: On Noether Symmetries and Conserved Quantities of Nonconservative Dynamical Systems
Journal: Physics Letters A
Year: 2003
Citations: 50+
Authors: Jing-Li Fu, Li-Qun Chen

Conclusion

Prof. Dr. Fu Jingli exemplifies academic excellence through his profound research, impactful teaching, and national-level recognition. With over 150 publications and significant citations, his theoretical advancements in dynamical systems have influenced both academia and practical applications. His awards and leadership in major national research projects further reinforce his stature as a scholar of distinction. Through his role as a doctoral supervisor and educator, he continues to nurture the next generation of researchers. His sustained contributions to mathematics and engineering position him as a deserving candidate for honors like the Best Researcher Award.