Sherif A. El-Khodary | Chemistry | Most Shared Article Award

Assoc. Prof. Dr. Sherif A. El-Khodary | Chemistry  | Most Shared Article Award

Housing and Building National Research Center | Egypt

Assoc. Prof. Dr. Sherif A. El-Khodary is an accomplished researcher in materials science and applied physics, specializing in advanced nanomaterials for energy storage and conversion. His expertise spans carbon-based nanostructures, metal oxides, conducting polymers, and electrochemical systems for lithium, sodium, and zinc-ion batteries, supercapacitors, and water splitting technologies. He has made significant contributions through high-impact publications, patents, and funded research projects, focusing on sustainable and high-performance energy solutions. His research approach integrates material design, synthesis, and electrochemical evaluation, leading to innovative developments in nanocomposites, porous carbon materials, and energy devices with strong scientific and technological impact.

Citation Metrics (Scopus)

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Citations
1559

Documents
47

h-index
25

🟦 Citations 🟥 Documents 🟩 h-index


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Top Publications (Scopus Indexed)

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Yifei Zhang | Materials Science | Best Academic Researcher Award

Prof. Yifei Zhang | Materials Science | Best Academic Researcher Award

Professor | Hebei University | China

Prof. Yifei Zhang is a materials scientist specializing in metallurgical physical chemistry, with a strong interdisciplinary focus on non-destructive testing technologies, material surface treatment, modification engineering, and machine vision–assisted evaluation methods. Her research advances the understanding of microstructural evolution, surface behavior, and damage mechanisms in advanced metallic and composite materials, bridging fundamental metallurgical principles with applied diagnostics. She has made notable contributions to the study of oxide-film dynamics in additively manufactured titanium alloys, the microstructural and electrochemical responses of heat-treated metal systems, and the adhesion performance of functional coatings under residual stress conditions. Her work extends into intelligent materials characterization, where she integrates acoustic emission analysis, signal decomposition, and deep-learning frameworks to enhance damage-mode identification in complex composites and metal components. Through innovative combinations of variational mode decomposition, convolutional neural networks, and optimized non-destructive evaluation methods, she has improved the precision and reliability of structural integrity assessments. Her professional experience includes extensive involvement in designing and validating advanced diagnostic techniques, contributing to the development of next-generation material performance evaluation tools. She collaborates across disciplines to connect materials processing, mechanical behavior, and sensing technologies, supporting safer, more efficient applications in engineering structures and manufacturing environments. Her scientific output reflects a commitment to integrating experimental research with computational enhancement, contributing significantly to the fields of material surface engineering, structural health monitoring, and intelligent testing systems.

Profile: Scopus

Featured Publications

Zhang, Y., Li, J., Xu, H., & others. (2020). Dynamic evolution of oxide film on selective laser melted Ti-Al-4V alloy. Journal of Alloys and Compounds, 849, 156622.

Zhang, Y., Feng, L., Zhang, T., & others. (2021). Heat treatment of additively manufactured Ti-6Al-4V alloy: Microstructure and electrochemical properties. Journal of Alloys and Compounds, 888, 161602.

Zhou, W., Li, D., Su, Y., & Zhang, Y.* (2024). Experimental study on the static strain aging of Q345 steel using complementary in-situ non-destructive testing techniques. International Journal of Steel Structures, 24(3), 591–606.

Zhang, Y., Yao, Y., Li, J., & others. (2025). Effect of residual stress on adhesion behaviour of TiN coating. Bulletin of Materials Science, 48, 72.

Zhang, Y., Ge, X., Su, Y., & others. (2025). Damage mode identification in 2D triaxial carbon fiber braided composites via acoustic emission segmentation and variational mode decomposition optimization. Polymer Composites, 1–16.