Ying Chen | Energy Transition | Best Researcher Award

Published on by Petroleum Engineering

Best Researcher Award

Ying Chen
Hubei University of Technology

Ying Chen
Affiliation Hubei University of Technology
Country China
Scopus ID 57846948300
Documents 8
Citations 148
h-index 6
Subject Area Energy Transition
Event Petroleum Engineering Awards

Ying Chen is a researcher affiliated with Hubei University of Technology in Wuhan, China, whose indexed research record includes eight documents and 148 citations, with a reported h-index of 6. The available Scopus profile identifies research activity relevant to advanced materials, sensing technologies and areas that can contribute to broader energy-transition research. [1] The profile also records the 2025 open-access article Facile synthesis of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensors, published in RSC Advances, illustrating work at the intersection of functional materials and gas-sensing applications. [2]

Abstract

Ying Chen of Hubei University of Technology, China, has an indexed research profile comprising eight Scopus documents, 148 citations and an h-index of 6. [1] Available publication information indicates research involving functional nanomaterials and gas-sensing systems, including a study of an α-Fe2O3–TiO2-MXene heterojunction for acetone gas detection. [2] Such research is relevant to the development of advanced sensing platforms, materials engineering and technological approaches that can support monitoring and intelligent systems associated with evolving energy and industrial environments.

Keywords

  • Energy Transition
  • Functional Materials
  • Gas Sensors
  • Nanomaterials
  • MXene

Introduction

Energy transition increasingly depends on technologies capable of improving efficiency, monitoring industrial processes and supporting reliable environmental and operational measurements. Advanced functional materials and sensing devices represent one component of this technological landscape because they can provide selective and responsive detection of chemical species in diverse environments. Chen’s available publication record includes research on heterojunction-based gas sensors, providing a documented example of work in this broader technological context. [2]

Research Profile

The indexed profile of Ying Chen records eight documents, 148 citations and an h-index of 6. [1] The Scopus record identifies Hubei University of Technology as the researcher’s affiliation and China as the associated country. The available publication evidence points toward research in functional materials and sensing, with particular relevance to heterostructured materials and gas-detection technologies.

Research Contributions

One documented contribution is the development and investigation of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensing. The work was published in RSC Advances in 2025 and is identified as an open-access article in the Scopus record. [2] Heterojunction architectures such as this combine distinct material properties to engineer functional interfaces, while MXene-based components are studied for their electrical and surface characteristics in sensing applications.

  • Investigation of advanced heterojunction materials for gas-sensing applications.
  • Application of functional nanomaterials to chemical detection.

Publications

The available Scopus information identifies the following publication among the researcher’s indexed documents:

  1. Yang, Zhenyuan; Chen, Ying. Facile synthesis of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensors. RSC Advances, 2025. [2]

The supplied Scopus profile indicates eight documents in total, while the accessible publication result provided for this article contains one displayed record. Consequently, this page does not infer titles, authorship or DOI information for the remaining documents where those details have not been supplied. [1]

Research Impact

The reported 148 citations across eight Scopus-indexed documents indicate that Chen’s published work has received measurable scholarly attention. The h-index of 6 provides an additional bibliometric indicator of citation performance. [1] Bibliometric indicators should be interpreted alongside publication quality, research originality, methodological contribution and relevance to the relevant scientific field rather than as standalone measures of research quality.

Award Suitability

Based on the supplied research profile, Ying Chen demonstrates a documented record of scholarly publication, citation activity and research involving advanced functional materials and gas-sensing technologies. These areas can intersect with the technological needs of energy transition through improved monitoring, materials innovation and sensing capabilities. The reported Scopus metrics further provide a quantitative basis for considering the profile within an academic recognition process. [1]

Conclusion

Ying Chen is an Hubei University of Technology researcher with eight Scopus-indexed documents, 148 citations and an h-index of 6. [1] The available publication evidence demonstrates research involving α-Fe2O3–TiO2-MXene heterojunctions and acetone gas sensing, highlighting work in functional materials and sensing technology. [2] On the evidence supplied, the profile presents a reasonable scholarly basis for consideration for the Best Researcher Award, subject to verification against the complete research record and award criteria.

References

  1. Elsevier. (n.d.). Scopus author details: Ying Chen, Author ID 57846948300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57846948300
  2. Yang, Zhenyuan; Chen, Ying. (2025). Facile synthesis of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensors. RSC Advances.
    https://pubs.rsc.org/en/journals/journalissues/ra
  3. Chen, Y., & Yang, Z. (2025). Facile synthesis of an α-Fe₂O₃-TiO₂-MXene heterojunction for enhanced acetone gas sensors. RSC Advances, 15(4), 3040–3046.

Rashed Sahraeian | Sustainability in Oil and Gas | Best Scholar Award

Published on by Petroleum Engineering

Prof. Dr. Rashed Sahraeian | Sustainability in Oil and Gas | Best Scholar Award

Professor at Shahed University, Iran

Professor Rashed Sahraeian is a distinguished full professor in the Department of Industrial Engineering at Shahed University, Tehran, Iran. His career reflects a deep dedication to the fields of optimization, supply chain management (SCM), facility location problems (FLP), and location-routing problems (LRP). Professor Sahraeian is widely recognized for his extensive contributions to academia through impactful research, prolific publications, mentorship of graduate students, and active participation in peer reviewing for top international journals. His scholarly excellence and commitment to industrial engineering have made him a prominent figure both nationally and internationally.

Profile

Google Scholar

Education

Professor Sahraeian’s educational foundation is rooted in industrial engineering, where he specialized in operations research and optimization methodologies. Throughout his academic training, he developed a keen interest in complex decision-making models, quantitative analysis, and supply chain design. His formal education provided him with advanced competencies in mathematical modeling, computational techniques, and logistics systems, setting a robust stage for his future contributions to the domain.

Experience

With an academic career spanning over two decades, Professor Sahraeian has amassed extensive experience in teaching, research, and supervision. He has taught specialized courses including Facility Layout and Location, Supply Chain Management, Scheduling and Sequencing, and Integer Programming. As a dedicated mentor, he has supervised over 55 Master’s theses and 12 Ph.D. dissertations, nurturing the next generation of engineers and researchers. His practical involvement extends beyond academia, where he applies his research findings to real-world industrial problems, emphasizing sustainable and resilient supply chain solutions. Furthermore, his active role as a reviewer for high-impact journals underscores his expertise and reputation in the global academic community.

Research Interest

Professor Sahraeian’s primary research interests encompass optimization in industrial systems, closed-loop supply chain design, facility location under uncertainty, and robust scheduling. He is particularly passionate about solving multi-objective optimization problems in logistics and production environments, employing innovative methods such as hybrid evolutionary algorithms, constraint programming, and grey system theory. His recent work also extends into sustainable supply chain network design, considering environmental factors and resilience against disruptions, aligning closely with contemporary industrial needs and global sustainability goals.

Award

Throughout his academic journey, Professor Sahraeian has been recognized for his outstanding research and educational contributions. He has earned awards and acknowledgments for his significant role in advancing industrial engineering, particularly for his impactful publications and excellence in student supervision. His recognition as a leading figure in optimization and supply chain management is further evidenced by his continuous invitations to review papers for prestigious journals such as the Journal of Cleaner Production, Computers & Industrial Engineering, and Applied Mathematical Modelling.

Publication

Among his many publications, seven notable works illustrate his influential contributions.

(1) In 2012, he co-authored “An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty” in Applied Mathematical Modelling (cited by 340 articles).

(2) In 2013, he published “The hierarchical hub covering problem with an innovative allocation procedure covering radiuses” in Scientia Iranica (cited by 85 articles).

(3) In 2014, his study on “Dynamic multi-commodity inventory and facility location problem in steel supply chain network design” appeared in the International Journal of Advanced Manufacturing Technology (cited by 110 articles).

(4) In 2015, he explored “Optimal modeling and evaluation of job shops with a total weighted tardiness objective” in Applied Mathematical Modelling (cited by 92 articles).

(5) That same year, he co-authored “Augmented ε-constraint method in multi-objective flow shop problem with past sequence setup times” in the International Journal of Production Research (cited by 70 articles).

(6) In 2016, he contributed “MULTI-OBJECTIVE OPTIMIZATION OF INTEGRATED LOT-SIZING AND SCHEDULING PROBLEM IN FLEXIBLE JOB SHOPS” to RAIRO Operations Research (cited by 60 articles).

(7) In 2024, he published “Decision-Making Approach to Design a Sustainable Photovoltaic Closed-Loop Supply Chain Considering Market Share for Electric Vehicle Energy” in Sustainability (garnering growing citations). These selected publications emphasize his research depth and broad application impact.

Conclusion

In conclusion, Professor Rashed Sahraeian has made outstanding contributions to the advancement of industrial engineering, particularly in optimization and supply chain network design. His research innovations, leadership in education, and strong publication record position him as a leading figure in his field. Through a combination of theoretical rigor and practical relevance, he continues to influence the discipline of industrial engineering, inspiring students and colleagues alike. His career trajectory exemplifies academic excellence, practical relevance, and a deep commitment to solving real-world industrial challenges through advanced research methodologies.