Prof. Dr. Xueliang Wang – Sensors – Best Researcher Award

Prof. Dr. Xueliang Wang – Sensors – Best Researcher Award

Heze University, China

Author Profiles

Scopus

Orcid

🎓 Academic Background

Dr. Xueliang Wang has a strong academic foundation in Applied Chemistry, Electroanalytical Chemistry, and Bioinorganic Chemistry. He obtained his Ph.D. in Applied Chemistry from Qingdao University of Science and Technology in 2009, where he specialized in electroanalytical and bioinorganic chemistry. Prior to this, he earned his Master’s degree in Analytical Chemistry from the same university in 2004, focusing on electroanalysis. His academic journey began with a Bachelor’s degree in Chemistry from Qufu Normal University in 2001.

🏛️ Professional Experience

Dr. Wang has had an illustrious career in academia and research, making significant contributions in the field of electrochemical sensing and environmental analysis. Since 2004, he has been a Professor at the College of Chemistry and Chemical Engineering, Heze University, China, where he has led various research initiatives. To expand his expertise and collaborate internationally, Dr. Wang worked as a Visiting Scholar at California State University, Los Angeles (CSU, L.A.) from 2015 to 2016. Later, in 2018–2019, he further broadened his research exposure by serving as a Visiting Scholar at Boston College, USA.

🔬 Research Projects and Grants

Dr. Wang has been actively involved in cutting-edge research projects, securing prestigious grants from national and provincial funding agencies. His research primarily focuses on the development of advanced electrochemical biosensors, environmental pollutant detection, and nanotechnology-based sensing applications. Some of his notable projects include:

📡 Electrochemical Biosensors for Plant Extracts

As the Principal Investigator (P.I.), Dr. Wang led a research project funded by the National Science Foundation of China (Project No. 21105023) to develop novel electrochemical DNA biosensors for studying the antioxidant activity of plant extracts.

🌍 Environmental Pollutant Detection Using Nanomaterials

Dr. Wang’s project, funded by the Shandong Province Science Foundation (Project No. ZR2017MB062), focused on utilizing two-dimensional materials and ionic liquids to fabricate highly sensitive and selective electrochemical sensors for detecting environmental gas pollutants.

🧬 DNA Damage Biosensors for Genotoxicity Studies

Recognized as an Excellent Youth Scientist in Shandong Province, Dr. Wang received funding (Project No. BS2013HZ027) to develop novel electrochemical DNA damage biosensors for assessing the genotoxicity of environmental pollutants.

🌫️ In-Situ Electrochemical Sensors for Air Pollutants

With support from the China Postdoctoral Science Foundation (Project No. 2015M572039), Dr. Wang pioneered the development of portable electrochemical sensors for real-time detection of air pollutants in various environments.

🌱 Biosensors for Genetically Modified Plants

As a Main Research Member, Dr. Wang contributed to multiple National Science Foundation of China projects (Project Nos. 20375020, 20975057, and 20805025) aimed at constructing highly sensitive electrochemical gene sensors for the detection of genetically modified plant products. His work involved nanocomposite materials and loop-mediated isothermal amplification (LAMP) technology to enhance detection sensitivity.

🏆 Impact and Legacy

Dr. Xueliang Wang’s groundbreaking research in electrochemical biosensors and environmental monitoring has significantly contributed to advancements in analytical chemistry. His work bridges the gap between electrochemical technology and biological applications, opening new frontiers in biosensor development, environmental safety, and genetic research. As a dedicated professor and researcher, he continues to inspire the next generation of scientists while shaping the future of analytical and bioinorganic chemistry.

Notable Publications📝


📝Preparation of Fe(OH)₃/Ni₃S₂/NiS heterostructure on an iron nickel foam as long-life trifunctional electrocatalysts for seawater and urea splitting

Authors: H. Li, X. Gao, S. Zheng, J. Bai, X. Wang (Xueliang)

Journal: Journal of Alloys and Compounds

Year: 2025


📝Research Progress on the Field-Effect Transistors Sensors for CO₂ Gas Based on 1-D or 2-D Nanomaterials: A Review

Authors: C. Gao, Z. Wang, C. Wang, T. Wang, X. Wang (Xueliang)

Journal: IEEE Sensors Journal

Year: 2025


📝Enhanced photodegradation of ceftazidime by BiOBr(110)/BiOCl(110) composite: Its synthesis, mechanism, and degradation pathways

Authors: Y. Sun, X. Wang (Xueliang), H.L. Lee

Journal: Journal of Environmental Chemical Engineering

Year: 2024


📝A Lower Working Potential and Real-Time H₂S Sensor Based on Nano-CuFe₂O₄ and Lotus Leaf Derived Carbon Material Composite

Authors: N. Zou, X. Li, W. Xu, J. Zhang, X. Wang (Xueliang)

Journal: Journal of the Electrochemical Society

Year: 2024


📝Synthesis of FeNi-based heterostructure on a nickel foam at room temperature for efficient catalyzing hydrogen evolution reaction

Authors: H. Li, Z. Wang, X. Wang (Xueliang), T. Wang

Journal: Materials Letters

Year: 2024

Assoc Prof Dr. Yongwei Li | Sensors and Biosensors | Best Researcher Award

Assoc Prof Dr. Yongwei Li | Sensors and Biosensors | Best Researcher Award

Assoc Prof Dr. Yongwei Li | Taiyuan Institute of Technology | China

Professional Profiles

Scopus

🎓 Academic Background

Dr. Yongwei Li, an accomplished scholar and dedicated educator, earned his Doctor of Engineering (Ph.D.) in Instrumentation Science and Technology from the prestigious North University of China in December 2021. Under the expert guidance of Prof. Xiong Jijun, Dr. Li honed his expertise in advanced engineering disciplines.

🔬 Research Focus

Dr. Li’s research interests center on cutting-edge technological advancements, with a focus on MEMS Sensor Technology, Detection Technology and Automation Equipment, and the Integration of Measurement and Control Systems. His innovative work contributes significantly to the evolving landscape of engineering and automation.

💼 Professional Experience

Dr. Yongwei Li has cultivated a robust professional background, showcasing a steady progression in his academic and administrative career at the Taiyuan Institute of Technology, Department of Automation.

He began his journey as an Assistant Lecturer in July 2015, laying a strong foundation in teaching and technical specialization. During this period, he gained valuable experience in delivering quality education and supporting departmental activities. In January 2019, he advanced to the position of Lecturer, where he took on greater responsibilities, including delivering advanced coursework and contributing to departmental projects, thereby enhancing his role as an educator and researcher.

In December 2022, Dr. Li was promoted to the rank of Associate Professor, marking a significant milestone in his career. In this role, he has spearheaded academic initiatives, mentored aspiring engineers, and contributed meaningfully to the field of automation and detection technology.

In September 2023, Dr. Li assumed the position of Deputy Director, taking on a key management role within the department. As Deputy Director, he oversees departmental operations, drives strategic planning, and ensures the seamless integration of teaching, research, and administration, further solidifying his contributions to academic excellence.

🧪 Research Contributions

Dr. Li’s dedication to technological innovation and automation systems has earned him recognition as a leader in his field. His work bridges the gap between measurement technology and practical applications, driving advancements in engineering systems.

Publications Top Noted📄

Analysis of broadband linear polarization-converting meta-materials and their sensing and detection functions

Authors: Li, Y., Guo, J., Shi, J., Chen, L., Qu, Z.

Journal: Physica Scripta

Year: 2024

Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm

Authors: Qiao, J., Guo, J., Li, Y.

Journal: Applied Water Science

Year: 2024

VISION-BASED ROBOT INDOOR-POSITIONING AND NAVIGATION METHOD RESEARCH

Authors: Qiao, J., Guo, J., Li, Y.

Journal: International Journal of Robotics and Automation

Year: 2024

Convolutional Concatenation Fusion Imaging Method for ERT/UTT Dual-Modality Tomography

Authors: Li, F., Liu, Y., Xu, L., Qiao, Z., Li, Y.

Journal: IEEE Access

Year: 2024

Satellite Communication Resource Scheduling Using a Dynamic Weight-Based Soft Actor Critic Reinforcement Learning

Authors: Qiao, Z., Yang, W., Li, F., Li, Y., Zhang, Y.

Journal: IEEE Access

Year: 2024