Mr. Yalong Xue | Biomathematics | Best Researcher Award

Mr. Yalong Xue, Ningde Normal University, china

Mr. Yalong Xue is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Scopus

📚 Academic and Professional Background:

Yalong Xue has been deeply involved in the study of dynamical systems for modeling ecosystem population interactions. His focus lies in nonlinear continuous and discrete models, particularly in stability, bifurcation, and control. With extensive collaboration experience, Yalong has successfully led and contributed to numerous scientific research projects in this field.

🔍 Completed/Ongoing Research Projects:

The Natural Science Foundation of Fujian ProvinceThe Education and Research Project for Middle and Young Teachers of Fujian ProvinceFujian Educational Research ProjectsThe Young and Middle-Aged Scientific Research Project of Ningde Normal University

📖 Citation Index:

Yalong Xue. Impact of both-density-dependent fear effect in a Leslie-Gower predator-prey model with Beddington-DeAngelis functional response.Yalong Xue, Fengde Chen, Xiangdong Xie, Shengjiang Chen. An analysis of a predator-prey model in which fear reduces prey birth and death rates.Yalong Xue. Analysis of a prey-predator system incorporating the additive Allee effect and intraspecific cooperation.Lili Xu, Yalong Xue, Qifa Lin, Chaoquan Lei. Global attractivity of symbiotic model of commensalism in four populations with Michaelis-Menten type harvesting in the first commensal populations.Lili Xu, Yalong Xue, Xiangdong Xie, Qifa Lin. Dynamic behaviors of an obligate commensal symbiosis model with Crowley-Martin functional responses.

📰 Journals Published (SCI, Scopus, etc.):

Chaos, Solitons & Fractals; AIMS Mathematics; Axioms; Advances in Difference Equations; Open Mathematics; Discrete Dynamics in Nature and Society; Applications of Mathematics, etc.

🤝 Collaborations:

Fengde Chen, Xiangdong Xie, Qifa Lin, Lili Xu, Chaoquan Lei, Liang Zhao, Zhenliang Zhu, et al.

🔍 Areas of Research:

Dynamical System; Applied Mathematics.

🌟 Contributions:

Through recent work, Yalong Xue’s team has achieved significant advancements in their field. Their research ranges from extending existing results to pioneering new areas. Moreover, they provide valuable insights for protecting endangered animals and ecosystem diversity.

📖 Publications Top Note :

Title: “Impact of both-density-dependent fear effect in a Leslie–Gower predator–prey model with Beddington–DeAngelis functional response”
Journal: Chaos, Solitons and Fractals, 2024, 185, 115055

This study explores the intricate dynamics of predator-prey interactions, considering the impact of fear and functional responses on ecosystem stability and population dynamics.

Title: “An analysis of a predator-prey model in which fear reduces prey birth and death rates”
Journal: AIMS Mathematics, 2024, 9(5), pp. 12906–12927

Investigating fear’s influence on prey dynamics, this research provides insights into how fear affects birth and death rates in predator-prey systems, enriching our understanding of ecological interactions.

Title: “Analysis of a prey-predator system incorporating the additive Allee effect and intraspecific cooperation”
Journal: AIMS Mathematics, 2024, 9(1), pp. 1273–1290

This study delves into the dynamics of prey-predator systems, incorporating the Allee effect and intraspecific cooperation. By analyzing these factors, the research sheds light on species coexistence mechanisms.

Title: “Global Attractivity of Symbiotic Model of Commensalism in Four Populations with Michaelis–Menten Type Harvesting in the First Commensal Populations”
Journal: Axioms, 2022, 11(7), 337

Investigating commensalism dynamics, this research explores global attractivity in symbiotic models, particularly focusing on populations with Michaelis–Menten type harvesting, contributing to the understanding of commensal relationships.

Title: “Dynamic Behaviors of an Obligate Commensal Symbiosis Model with Crowley–Martin Functional Responses”
Journal: Axioms, 2022, 11(6), 298

This study examines obligate commensalism dynamics using Crowley–Martin responses. By analyzing dynamic behaviors, the research enhances our understanding of mutualistic interactions in ecological systems.

Title: “Global attractivity of Leslie–Gower predator-prey model incorporating prey cannibalism”
Journal: Advances in Difference Equations, 2020, 2020(1), 153