Safaa Najah Saud Al-humairi | Design of Experiments | Editorial Board Member

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Editorial Board Member

Safaa Najah Saud Al-humairi,
Management and Science University.

Safaa Najah Saud Al-humairi is a researcher affiliated with Management and Science University, Malaysia. Her stated research subject area is nanotechnology. Her scholarly profile reports 3,108 citations, an h-index of 32, and an i10-index of 73, according to the supplied profile information. [1]

Safaa Najah Saud Al-humairi
Affiliation Management and Science University
Country Malaysia
Citations 3,108
h-index 32
i10-index 73
Subject Area Nanotechnology
Event World Statistics Award

Abstract

This article presents the academic profile of Safaa Najah Saud Al-humairi, affiliated with Management and Science University in Malaysia. The supplied information identifies nanotechnology as her subject area and reports 3,108 citations, an h-index of 32, and an i10-index of 73. These indicators provide a bibliometric overview, subject to verification against the original scholarly profile. [1]

Keywords

Safaa Najah Saud Al-humairi, nanotechnology, research profile, bibliometrics, citation analysis, h-index, i10-index, scholarly publications, academic recognition, Management and Science University, Malaysia, World Statistics Award. [1]

Introduction

Safaa Najah Saud Al-humairi is presented as a researcher affiliated with Management and Science University in Malaysia, with nanotechnology identified as her subject area. Her scholarly profile provides a basis for examining research visibility through citation indicators. This article summarizes the supplied information while distinguishing reported metrics from independently verified academic records. [1]

Research Profile

The supplied profile associates Safaa Najah Saud Al-humairi with Management and Science University and identifies nanotechnology as her research subject. Reported bibliometric indicators include 3,108 citations, an h-index of 32, and an i10-index of 73. These figures describe citation activity but do not independently establish publication quality, research methods, or individual contributions. [1]

Research Contributions

Nanotechnology encompasses research involving materials and systems at very small scales, with applications across multiple scientific and technological fields. The supplied profile identifies this broad subject area but does not specify individual studies, methods, or discoveries attributable to the researcher. Specific contributions should therefore be described using verified publications, abstracts, and documented research findings. [1]

Publications

The researcher’s Google Scholar profile provides a starting point for reviewing indexed scholarly publications, co-authorship, and citation activity. However, a complete publication list, article titles, journal details, publication dates, and DOI identifiers were not included in the supplied information. Individual publications should be checked against their original publisher records before being listed or cited as evidence of research output. [1]

Research Impact

The supplied bibliometric figures report 3,108 citations, an h-index of 32, and an i10-index of 73. Citations can indicate that scholarly work has been referenced by other publications, while the h-index reflects publication and citation performance together. These indicators vary by database and date and should be interpreted alongside research quality, field norms, and documented contributions. [1]

Award Suitability

The World Statistics Award provides the stated recognition context for this academic profile. The researcher’s reported citation indicators may serve as supporting information during an assessment, but they do not alone establish eligibility or award merit. A fair evaluation should consider verified publications, methodological rigor, relevance to the award criteria, documented contributions, and the accuracy of the submitted academic record. [1] [2]

Conclusion

Safaa Najah Saud Al-humairi’s supplied academic profile identifies an affiliation with Management and Science University in Malaysia and a subject area of nanotechnology. Reported citation indicators offer an initial view of scholarly visibility. Further assessment requires verification of publication records, research contributions, institutional details, and alignment with the World Statistics Award’s published recognition criteria. [1] [2]

References

  1. Google Scholar. (n.d.). Scholar profile: Safaa Najah Saud Al-humairi. Profile and bibliometric information supplied for this article. Retrieved October 21, 2026.

    https://scholar.google.com/citations?user=k3ISRbcAAAAJ&hl=en&oi=ao

  2. Saud, S. N., Hamzah, E., Abubakar, T., Bakhsheshi-Rad, H. R., Yusop, M. Z., & Tanemura, M. (2014). Effects of Mn additions on the structure, mechanical properties, and corrosion behavior of Cu-Al-Ni shape memory alloys. Journal of Materials Engineering and Performance.

    https://doi.org/10.1007/s11665-014-1134-1

  3. Wahid, M. A., Hosseini, S. E., Hussen, H. M., Akeiber, H. J., Saud, S. N., & Mohammad, A. T. (2017). An overview of phase change materials for construction architecture thermal management in hot and dry climate region.

    https://doi.org/10.1016/j.applthermaleng.2016.07.032

Deniz Bingöl | Design of Experiments | Innovative Research Award

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Innovative Research Award

Deniz Bingöl,
Kocaeli University.

Deniz Bingöl
Affiliation Kocaeli University
Country Turkey
Scopus ID 6506971252
Documents 51
Citations 1,891
h-index 24
Subject Area Modification methods for agricultural waste materials
Event World Statistics Awards
ORCID 0000-0002-9396-2422

Deniz Bingöl is a researcher affiliated with Kocaeli University whose scholarly profile reflects sustained activity in research concerning innovative modification approaches for agricultural waste materials. Available bibliometric information records 51 documents, 1,891 citations, and an h-index of 24, providing measurable indicators of research productivity and scholarly visibility in relevant academic fields.[1] [2]

Abstract

Deniz Bingöl’s research profile is associated with innovative approaches to modifying agricultural waste materials, emphasizing scientific investigation of materials with potential research and practical relevance. Bibliometric indicators provide evidence of an established scholarly record, while the researcher’s institutional and persistent identifiers support transparent academic attribution and verification across research information systems.[1] [2]

Keywords

  • Agricultural waste materials
  • Material modification
  • Innovative research
  • Sustainable materials
  • Research impact
  • Scientific innovation

Introduction

Agricultural waste represents an important research resource because its physical and chemical characteristics can be investigated for improved material applications. Research on modification methods seeks to enhance useful properties while supporting resource efficiency and sustainable scientific practice. Bingöl’s research area aligns with this broader interdisciplinary objective, connecting agricultural residues with innovative materials research.[1]

Research Profile

Deniz Bingöl is affiliated with Kocaeli University and has an indexed scholarly profile identified through Scopus Author ID 6506971252 and ORCID 0000-0002-9396-2422. The available record contains 51 documents, 1,891 citations, and an h-index of 24, indicating sustained publication activity and measurable academic visibility within indexed research literature and scholarly databases.[1] [2]

Research Contributions

The stated research specialization focuses on developing new modification methods for agricultural waste materials. Such work can contribute to understanding how treatment or modification influences material characteristics, functionality, and potential utilization. From an academic perspective, this research direction supports investigation of resource-derived materials while encouraging approaches that connect scientific experimentation with sustainable material development and innovation.[1]

Publications

The researcher’s indexed publication record comprises 51 documents according to the supplied Scopus profile information. Individual publication titles, journals, years, citation histories, and digital identifiers should be verified directly against authoritative bibliographic records before formal citation. Where applicable, DOI identifiers provide persistent access to individual scholarly publications and support accurate bibliographic verification across academic databases.[1] [3]

Research Impact

Bingöl’s reported bibliometric indicators include 1,891 citations and an h-index of 24, offering quantitative measures of scholarly visibility and citation influence. These indicators should be interpreted alongside publication quality, research originality, collaboration, and disciplinary context rather than independently. Together, the available metrics indicate an established research presence within indexed academic literature and scholarly communication.[1]

Award Suitability

The Innovative Research Award can be considered in relation to Bingöl’s research focus, documented publication activity, and work involving modification methods for agricultural waste materials. The combination of a defined innovation-oriented subject area and established bibliometric record provides relevant evidence for consideration. Final recognition should remain dependent on the award’s official evaluation criteria and submitted supporting documentation.[1]

Conclusion

Deniz Bingöl presents a documented academic profile connected with Kocaeli University and research concerning innovative modification methods for agricultural waste materials. The reported record of 51 documents, 1,891 citations, and an h-index of 24 provides measurable evidence of scholarly activity. These characteristics support consideration for recognition while maintaining appropriate academic verification standards.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Deniz Bingöl, Author ID 6506971252. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=6506971252

  2. ORCID. (n.d.). ORCID record: Deniz Bingöl. ORCID.

    https://orcid.org/0000-0002-9396-2422

  3. Google Scholar. (n.d.). Deniz Bingöl — Google Scholar profile.

    https://scholar.google.com.tr/citations?user=R_4iEIkAAAAJ&hl=tr&oi=ao

Jinfa Zhang | Statistical Applications in Engineering | Research Excellence Award

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Dr. Jinfa Zhang | Statistical Applications in Engineering | Research Excellence Award

China University of Petroleum (Beijing) | China 

The research profile reflects a strong and continuous focus on petroleum engineering, Statistical Applications in Engineering with specialized expertise in rock mechanics, geomechanics, lost circulation control, reservoir stimulation, and enhanced oil and gas recovery. Advanced doctoral research concentrates on the mechanical behavior of reservoir rocks, wellbore stability, and lost circulation mechanisms, integrating theoretical modeling with practical engineering applications. Master’s-level research emphasized oil and gas reservoir stimulation technologies, enhanced recovery methods, numerical reservoir simulation, and optimization techniques, supported by a strong academic performance and rigorous coursework in advanced reservoir engineering, fluid phase equilibria, and simulation software applications. Undergraduate training provided a solid foundation in drilling engineering, completion engineering, rock mechanics, porous media flow, oilfield chemistry, and production engineering. The research experience is complemented by extensive proficiency in industry-standard professional software for fracturing design, reservoir simulation, curve fitting, programming, and geospatial analysis, enabling comprehensive data-driven studies. Practical exposure through geological fieldwork and petroleum production training strengthened the ability to connect theoretical research with field-scale operations. Academic excellence is demonstrated through competitive scholarships, innovation and design competitions, and national-level recognitions, highlighting strong research capability, interdisciplinary technical skills, and potential for impactful contributions to petroleum engineering research and technology development.

Citation Metrics (Scopus)

40
30
20
10
0

Citations
23

Documents
9

h-index
2

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Dujiang Yang | Clinical Trials and Statistical Designs | Research Excellence Award

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Mr. Dujiang Yang | Clinical Trials and Statistical Designs | Research Excellence Award

The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University | China

Mr. Dujiang Yang is an emerging clinician-scientist in Traditional Chinese Medicine Orthopedics & Traumatology at Southwest Medical University, whose rapid academic growth and extensive publication record have positioned him among the most productive young researchers in his field, he completed advanced training at the Affiliated Hospital of Traditional Chinese Medicine, where he served as a spine-track resident physician and postgraduate researcher under Professor Guoyou Wang, contributing deeply to multiple national and provincial scientific projects. As first author, Yang has published 37 SCI-indexed papers, including numerous Q1 journals such as Annals of the Rheumatic Diseases, Journal of Extracellular Vesicles, Advanced Science, Chemical Engineering Journal, Leukemia, and Angiogenesis, covering topics spanning musculoskeletal regeneration, tumor microenvironment immunology, ferroptosis in osteoarthritis, disc repair biology, metabolic bone disease, and translational nanotechnology. His overall research impact is reflected in an estimated h-index of 2, 42 documents, and over 7 citations, demonstrating strong recognition across basic and translational medicine communities. Beyond research, he has gained substantial clinical proficiency, mastering lumbar fusion procedures, spinal fixation, PVP/PKP, trauma management, and more than 200 independent suturing cases. Yang has earned major distinctions including multiple first-class scholarships, Outstanding Graduate awards at both undergraduate and postgraduate levels, Excellent Youth Researcher recognitions. His technical skillset includes Western blotting, RT-PCR, flow cytometry, cell culture, molecular assays, animal experiments, advanced literature analysis, and scientific writing using GraphPad Prism and ImageJ. Combining rigorous clinical training, high-level publication output, and cross-disciplinary research capability, DuJiang Yang represents a driven, evidence-focused young scholar with strong potential for future leadership in musculoskeletal medicine and regenerative therapeutics.

Profile: Scopus 

Featured Publications

Yang, D., Yang, L., Yang, J., & Wang, G. (2025). Dual-targeting biomimetic nanoplatforms for tumor microenvironment-immune remodeling. Chemical Engineering Journal, 526, 171226.

Yang, D., Yang, J., Xu, H., & Wang, G. (2025). Minimal dose, maximal scrutiny: A critical appraisal of the feasibility and functional implications of a reduced-volume Nordic hamstring exercise protocol. Scandinavian Journal of Medicine & Science in Sports, 35(12)

Yang, D., & Wang, G. (2025). Beyond quantity: The nonlinear association between HDL cholesterol and coronary atherosclerosis. Atherosclerosis, 411, 120561.

Yang, D., & Wang, G. (2025). MSC-delivered CXCL10 for solid tumors: Navigating the translational hurdles from precept to clinic. Biomedicine & Pharmacotherapy, 193, 118735.

Youngjoo Kwon | Design of Experiments (DOE) | Research Excellence Award

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Prof. Youngjoo Kwon | Design of Experiments (DOE) | Research Excellence Award

Ewha Womans University | South Korea

Dr. Youngjoo Kwon is a highly accomplished professor in the College of Pharmacy and Graduate School of Pharmaceutical Sciences at Ewha Womans University, where she has held influential leadership roles including Director of the Ewha Drug Development Research Core Center, Chair of the Graduate School, and Director of a major convergence education program. After completing her Ph.D. in Analytical Chemistry at the University of Houston and postdoctoral training at Baylor College of Medicine, she established a research laboratory that integrates advanced analytical instrumentation such as HPLC, GC-MS, LC-MS/MS, and NMR with computational modeling and diverse biochemical, molecular, and cellular biology platforms. Her interdisciplinary research spans metabolite profiling of endogenous and xenobiotic compounds, development of isozyme-selective enzyme inhibitors, and elucidation of the non-canonical cytosolic functions of the transcription factor ELF3/ESX, particularly its interaction with MED23 in driving metastasis and drug resistance in various cancers. Additionally, her laboratory develops and evaluates small-molecule modulators against challenging disease targets related to cancer, fibrosis, and neurodegeneration. Over her prolific scientific career, Dr. Kwon has published more than 175 peer-reviewed documents, accumulated over 5,053 citations, and achieved an h-index of 35, underscoring both the breadth and lasting impact of her contributions to pharmaceutical sciences and biomedical research. Her work has appeared in leading journals and has resulted in patents and successful licensing initiatives, demonstrating strong translational value. Dr. Kwon’s achievements have earned her numerous honors from major scientific societies, including awards from the Korean Society of Applied Pharmacology, the Pharmaceutical Society of Korea, and a ministerial award from the Ministry of Trade, Industry and Energy. She is also deeply engaged in national regulatory and scientific policy activities, serving on advisory committees for the Ministry of Food and Drug Safety, the Korea Drug Development Fund, and several national research and technology evaluation boards. In addition, she contributes to the global scientific community through editorial roles in multiple international journals. Her research philosophy-rooted in mechanistic understanding, analytical innovation, and therapeutic development-continues to drive advancements in areas such as KRAS-mutant colorectal cancer, hepatic fibrosis, and metastatic progression, solidifying her standing as a leading scientist shaping next-generation drug discovery and disease-targeted interventions.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

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Mr. Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

Shanghai Jiao Tong University | China

Mr. Xu Ge is a promising researcher specializing in control science, soft sensing, and intelligent systems, currently pursuing his Ph.D. at the UM-SJTU Joint Institute, Shanghai Jiao Tong University. He earned his Bachelor’s degree in Automation from the School of Mechanical Engineering and Automation at Harbin Institute of Technology (Shenzhen), where he consistently demonstrated academic excellence and technical innovation. Throughout his academic journey, Xu Ge has been recognized with numerous honors, including the prestigious National Scholarship, Topband Enterprise Scholarship, and First-Class Academic Scholarship. His university distinctions-Outstanding Student, Outstanding CYL Member, Outstanding Graduate, and Outstanding Thesis-further highlight his commitment to excellence. Xu has achieved remarkable success in national competitions, winning the ROBOCOM National First Prize, ROBOCON National Third Prize, the National Undergraduate Smart Car Competition (Outdoor Track) National Third Prize, and the National Undergraduate Mathematics Competition Provincial First Prize. His research experience reflects a strong interdisciplinary background bridging control engineering, machine learning, and system modeling. Notably, in the NSFC project “Online Estimation of Loads and Fatigue Life Prediction of Key Chassis Components under Random Driving Conditions,” he designed a soft-sensing framework that enables high-accuracy signal estimation through data-driven models and developed an embedded system for real-world vehicle testing. His collaboration with BYD on the “New Energy Vehicles Technology Program” showcased his expertise in robotics and deep learning, where he constructed datasets from BYD blade-battery modules and integrated neural networks with classical algorithms for precise robotic welding detection and operation. Xu Ge has contributed several impactful publications, including works in Mechanical Systems and Signal Processing and IEEE Transactions on Vehicular Technology, and papers accepted for presentation at IECON 2025. His accepted and submitted research covers a wide range of topics, such as vehicle sensor optimization, kernelized modeling for wheel load estimation, and battery electrochemical parameter identification through hybrid optimization methods. With his strong foundation in algorithm design, system integration, and data-driven control, Xu Ge continues to push the frontiers of intelligent mechanical systems and vehicular sensing technologies, aspiring to develop innovative, high-performance solutions that bridge theoretical advancements with industrial applications.

Profile: Google Scholar

Featured Publications

Ge, X., Li, M., Zhou, J., Qiu, Y., & Zhang, M. (2026). MMSE noncausal FIR based wheel force soft-sensing under Bernoulli-uniform prior. Mechanical Systems and Signal Processing, 242, 113601.

Ge, X., Zhang, M., Zhou, J., Chen, W., Li, X., & Li, M. (2025). Vehicle sensor configuration optimization for tire force estimation based on Min-Max SDP. In IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society.