Yanfeng Liu | Graph Models | Best Researcher Award

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Prof. Yanfeng Liu | Graph Models | Best Researcher Award

Visiting Professor at Pukyong National University, South Koreađź“–

Dr. Liu Yanfeng is a Visiting Professor at Pukyong National University (PKNU), specializing in logistics economics, supply chain management, and consumption economics. He has a strong research background in outward foreign direct investment and the digital economy, contributing to various funded research projects. Dr. Liu actively reviews for top-tier journals and is a member of multiple academic societies related to international commerce and logistics.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

  • Ph.D. in International Commerce and Logistics – Chung-Ang University (2018–2021)
  • M.S. in International Commerce and Logistics – Chung-Ang University (2016–2018)
  • B.S. in Economics (Minor: Public Human Resources) – Chung-Ang University (2012–2016)

Professional Experience🌱

Dr. Liu has been a Visiting Professor at PKNU since August 2022, where he teaches courses on global supply chain management, technology investment, corporate growth strategies, and research methodologies. His expertise spans logistics economics, innovation in manufacturing, and technology management.=

Research Interests🔬
His research focuses on logistics economics, supply chain management, consumption economics, and outward foreign direct investment, with recent work exploring the impact of digital economies on productivity from a consumer perspective. He has contributed to research projects funded by the Jiangsu Provincial Department of Education, Gyeonggi Yeongtaek Port Corporation, and the Korea Automobile Manufacturers Association.
Author Metrics

Dr. Liu serves as a reviewer for prestigious SSCI and ESCI journals, including Journal of Travel & Tourism Marketing, International Journal of Retail & Distribution Management, Economic Analysis and Policy, and Asia Pacific Journal of Marketing and Logistics. He is an active member of multiple professional societies, including the Korea Maritime Economics Association, Logistics Society, and Northeast Asia Economic Society.

Awards & Honors

  • Best Paper Award, Korea Maritime Institute (2021)
  • Graduate School Dean’s Award (A), Chung-Ang University (2022)
  • Third Prize, Korea Maritime Institute of Fisheries Development Corporate Achievement Publication Academic Conference (2021, 2023)
Publications Top Notes đź“„

1. Revenge Buying After the Lockdown: Based on the SOR Framework and TPB Model

  • Authors: Y. Liu, L. Cai, F. Ma, X. Wang
  • Journal: Journal of Retailing and Consumer Services
  • Volume: 72
  • Article ID: 103263
  • Year: 2023
  • Citations: 80
  • Abstract: This study examines consumer behavior following COVID-19 lockdowns, focusing on “revenge buying.” Using the Stimulus-Organism-Response (SOR) framework and Theory of Planned Behavior (TPB), the paper analyzes psychological factors driving excessive consumption post-lockdown.

2. Revenge Tourism After the Lockdown: Based on the SOR Framework and Extended TPB Model

  • Authors: S. Zhao, Y. Liu
  • Journal: Journal of Travel & Tourism Marketing
  • Volume: 40 (5)
  • Pages: 416-433
  • Year: 2023
  • Citations: 19
  • Abstract: This study investigates the surge in post-lockdown travel, termed “revenge tourism.” An extended TPB model and SOR framework are employed to explore psychological motivations, travel intention, and actual behavior.

3. Psychological Antecedents of Telehealth Acceptance: A Technology Readiness Perspective

  • Authors: X. Li, Y. Zhou, Y. Liu, X. Wang, K.F. Yuen
  • Journal: International Journal of Disaster Risk Reduction
  • Volume: 91
  • Article ID: 103688
  • Year: 2023
  • Citations: 17
  • Abstract: The paper explores factors influencing the adoption of telehealth services, emphasizing technology readiness as a key determinant. It assesses consumer trust, perceived ease of use, and pandemic-induced behavioral shifts.

4. The Determinants of China’s Outward Foreign Direct Investment: A Vector Error Correction Model Analysis of Coastal and Landlocked Countries

  • Authors: Y. Liu, M. Su, J. Zhao, S. Martin, K.F. Yuen, C.B. Lee
  • Journal: Economic Change and Restructuring
  • Volume: 56 (1)
  • Pages: 29-56
  • Year: 2023
  • Citations: 15
  • Abstract: This study uses Vector Error Correction Model (VECM) analysis to examine factors influencing China’s outward foreign direct investment (OFDI) in coastal vs. landlocked provinces, identifying key economic and policy drivers.

5. Revenge Buying: The Role of Negative Emotions Caused by Lockdowns

  • Authors: Y. Liu, X. Li, K.F. Yuen
  • Journal: Journal of Retailing and Consumer Services
  • Volume: 75
  • Article ID: 103523
  • Year: 2023
  • Citations: 12
  • Abstract: This paper explores how negative emotions triggered by lockdowns influence revenge buying behavior. It integrates emotional theories with consumer decision-making models to explain impulsive post-pandemic purchases.

Conclusion

Dr. Liu Yanfeng is a strong candidate for the Best Researcher Award due to his high-impact publications, interdisciplinary expertise, research funding success, and academic contributions. Addressing areas such as diversification of research, global collaborations, and industry applications would further enhance his profile. Nonetheless, his existing achievements position him as a top-tier researcher in logistics economics and consumer behavior studies.

Umar Ali | Graph Theory | Best Researcher Award

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Dr. Umar Ali | Graph Theory | Best Researcher Award

Post doc at University of Shanghai for Science and Technology,  China📖

Dr. Umar Ali is a skilled mathematician with a focus on graph theory, spectral graph theory, and mathematical chemistry. He holds a Ph.D. in Mathematics from Anhui University, China, where his research centered on resistance distance-based graph invariants and spanning trees in specific classes of graphs. With extensive academic training and a commitment to advancing mathematical knowledge, Dr. Ali is proficient in mathematical modeling, analysis, and software applications, aiming to provide bespoke solutions for real-world problems.

Profile

Scopus Profile

Education Background🎓

  • Ph.D. in Mathematics (2018-2022), School of Mathematical Sciences, Anhui University, Hefei, China.
    Dissertation: Resistance Distance-Based Graph Invariants and Spanning Tree in Some Classes of Graphs.
    Supervisor: Prof. Xiang-Feng Pan
  • MPhil in Mathematics (2015-2017), University of Management and Technology (UMT), Lahore, Pakistan.
    Dissertation: 3-Total Edge Product Cordial Labelling of Some Standard Classes of Graphs and Convex Polytopes.
    Supervisor: Dr. Zohaib Zahid
  • M.Sc. in Mathematics (2010-2013), University of the Punjab, Lahore, Pakistan.
  • B.Sc. in Mathematics (2007-2010), University of the Punjab, Lahore, Pakistan.

Professional Experience🌱

Dr. Umar Ali has served as a researcher and lecturer at several academic institutions, contributing to the advancement of mathematical sciences. His expertise lies in graph theory and algebraic combinatorics. He has collaborated with various international scholars and researchers on cutting-edge mathematical problems and is actively involved in the publication of research papers in prestigious journals. Dr. Ali has also been a reviewer for several scientific journals, enhancing his engagement with the academic community.

Research Interests🔬

Dr. Umar Ali’s research interests include:

  • Discrete Mathematics
  • Graph Theory
  • Spectral Graph Theory
  • Algebraic Combinatorics
  • Mathematical Chemistry
  • Chemical Graph Theory

Author Metrics

Dr. Ali has authored several research papers, with notable publications in journals such as Polycyclic Aromatic Compounds (IF 3.744) and Symmetry (IF 2.713). His contributions include work on the normalized Laplacian spectrum, Kirchhoff index, resistance distance, and spanning trees in various graph structures. He has published in SCI-indexed journals and contributed significantly to the mathematical community.

Publications Top Notes đź“„

1. Computing the Laplacian Spectrum and Wiener Index of Pentagonal-Derivation Cylinder/Möbius Network

Authors: Ali, U., Li, J., Ahmad, Y., Raza, Z.
Journal: Heliyon
Year: 2024
Volume: 10
Issue: 2
Article Number: e24182
DOI: Link disabled (No DOI available)
Abstract: This paper examines the Laplacian spectrum and Wiener index of the pentagonal-derivation cylinder and Möbius network. These networks are studied in the context of graph theory and chemical graph theory, exploring how their mathematical properties influence their structure and behavior.

2. Computing the Normalized Laplacian Spectrum and Spanning Tree of the Strong Prism of Octagonal Network

Authors: Ahmad, Y., Ali, U., Siddique, I., Afifi, W.A., Abd-El-Wahed Khalifa, H.
Journal: Journal of Mathematics
Year: 2022
Article ID: 9269830
DOI: 10.1155/2022/9269830
Abstract: This paper explores the normalized Laplacian spectrum and spanning tree properties of the strong prism of an octagonal network. The study aims to provide a deeper understanding of the structural properties of networks with octagonal symmetry and their applications in network science.

3. Resistance Distance-Based Indices and Spanning Trees of Linear Pentagonal-Quadrilateral Networks

Authors: Ali, U., Ahmad, Y., Xu, S.-A., Pan, X.-F.
Journal: Polycyclic Aromatic Compounds
Year: 2022
Volume: 42
Issue: 9
Pages: 6352–6371
DOI: Link disabled (No DOI available)
Abstract: This article focuses on the resistance distance-based indices and spanning tree properties of linear pentagonal-quadrilateral networks. It discusses how these networks’ resistance distance properties and spanning trees provide insight into the connectivity and robustness of the systems in question, with particular relevance to chemical graph theory.

4. On Normalized Laplacian, Degree-Kirchhoff Index of the Strong Prism of Generalized Phenylenes

Authors: Ali, U., Ahmad, Y., Xu, S.-A., Pan, X.-F.
Journal: Polycyclic Aromatic Compounds
Year: 2022
Volume: 42
Issue: 9
Pages: 6215–6232
DOI: Link disabled (No DOI available)
Abstract: This paper delves into the normalized Laplacian and degree-Kirchhoff indices of the strong prism of generalized phenylenes, contributing to the field of chemical graph theory. The work analyzes the impact of these indices on the stability and chemical properties of molecular networks.

5. On Normalized Laplacians, Degree-Kirchhoff Index, and Spanning Tree of Generalized Phenylene

Authors: Ali, U., Raza, H., Ahmed, Y.
Journal: Symmetry
Year: 2021
Volume: 13
Issue: 8
Article Number: 1374
DOI: Link disabled (No DOI available)
Abstract: This research investigates the normalized Laplacian, degree-Kirchhoff index, and spanning tree of generalized phenylene. The work aims to provide insights into the mathematical properties of molecular networks, particularly focusing on how these indices relate to the stability and behavior of chemical structures.

Conclusion

Dr. Umar Ali is a highly deserving candidate for the Best Researcher Award based on his deep expertise in graph theory, innovative contributions to chemical graph theory, and the substantial impact his research has had on both theoretical and applied mathematics. His academic credentials, research collaborations, and high-quality publications place him in an excellent position for this prestigious recognition.

His strengths in research output, theoretical advancements, and academic contributions clearly demonstrate that he is on the path to becoming a leading figure in his field. A slight improvement in interdisciplinary applications and engagement with industry could further elevate his already impressive profile. Given his outstanding achievements, Dr. Ali is a fitting candidate for the Best Researcher Award.