Jun Yin | Organizational behavior | Innovative Research Award

Innovative Research Award

Jun Yin
Affiliation Shenzhen University
Country China
Scopus ID 57222541034
Documents 8
Citations 81
h-index 4
Subject Area Organizational behavior
Event Global HRM Awards

Jun Yin
Shenzhen University, Shenzhen, China

Jun Yin is a management scholar whose research explores organizational theories, workplace psychology, paradox mindset, mentoring, employee engagement, artificial intelligence in organizations, and knowledge management. His academic profile reflects interdisciplinary contributions that connect behavioral science with contemporary management challenges, particularly in the context of organizational learning, innovation, leadership, and employee performance.[1][2]

Abstract

This article presents an academic profile of Jun Yin, Assistant Professor at Shenzhen University. His scholarly work focuses on paradox mindset, organizational learning, mentoring, employee engagement, artificial intelligence in the workplace, and employee adaptive performance. Through publications in recognized management and behavioral science journals, he has contributed to contemporary discussions on leadership, innovation, knowledge renewal, and workplace dynamics.[1][3]

Keywords

Paradox Mindset; Organizational Learning; Artificial Intelligence; Employee Engagement; Mentoring; Knowledge Management; Leadership; Innovation; Adaptive Performance; Workplace Psychology.

Introduction

The growing complexity of modern organizations has increased scholarly interest in paradox theory, organizational behavior, and technology-enabled workplace transformation. Jun Yin’s research addresses these themes by examining how individuals and organizations navigate tensions, embrace learning, and adapt to emerging technological developments such as generative artificial intelligence.[4]

Research Profile

Jun Yin serves as Assistant Professor at Shenzhen University. His academic training includes doctoral studies in management at Hokkaido University, graduate education at the University of Leeds, and undergraduate studies at Lanzhou University. His interdisciplinary research integrates management theory, psychology, leadership studies, and organizational development.[1]

Research Contributions

His research contributions include advancing understanding of paradox mindset in organizations, explaining mechanisms that influence employee engagement and unlearning, examining leadership behaviors that foster adaptive capabilities, and investigating the organizational implications of artificial intelligence adoption. These studies contribute to both theoretical development and practical management applications.[4][5]

Publications

Selected publications include studies on generative AI stressors and employee adaptive performance, AI-enabled knowledge renewal, paradox mindset and workplace unlearning, paradoxical leadership, mentoring effectiveness, and employee engagement. These works have appeared in journals such as Journal of Knowledge Management, Asia Pacific Journal of Human Resources, Current Psychology, and Leadership & Organization Development Journal.[3][4][5]

Research Impact

According to Scopus author metrics, Jun Yin has accumulated 81 citations across 8 indexed publications and holds an h-index of 4. These indicators reflect measurable scholarly visibility and engagement within the fields of management and organizational studies.[2]

Award Suitability

Jun Yin’s body of work demonstrates sustained engagement with contemporary organizational challenges, including leadership, innovation, learning processes, and AI-driven workplace transformation. His publication record, citation performance, and international academic background support consideration for recognition within research excellence and management scholarship categories.[1][2]

Conclusion

The academic profile of Jun Yin highlights a developing research portfolio focused on organizational behavior, management theory, and emerging workplace technologies. His contributions continue to expand scholarly understanding of paradox mindset, employee adaptation, and organizational learning within evolving business environments.[1][3]

References

  1. ORCID. (2026). Jun Yin (0000-0003-4799-4025) researcher profile. 

    https://orcid.org/0000-0003-4799-4025

  2. Elsevier. (2026). Scopus author details: Jun Yin, Author ID 57222541034. 

    https://www.scopus.com/authid/detail.uri?authorId=57222541034

  3. Yin, J., & Wang, Y. (2026). The Paradoxical Effects of Generative Artificial Intelligence Induced Stressors on Employee Adaptive Performance.https://doi.org/10.1111/1744-7941.70074
  4. Yin, J., & Hoang, K. D. (2025). AI-enabled knowledge renewal: the role of leaders’ AI attitudes and unlearning in enhancing employees’ creative.https://doi.org/10.1108/JKM-02-2025-0209
  5. Yin, J. (2023). Effects of the paradox mindset on work engagement: The mediating role of seeking challenges and individual .

    https://doi.org/10.1007/s12144-021-01597-8

Luo Jin | Leadership Development | Best Researcher Award

Mr. Luo Jin | Leadership Development | Best Researcher Award

Mr. Luo Jin | Lanzhou Veterinary Research Institute,Chinese Academy of Agricultural Sciences, | China

Luo Jin, born on October 3, 1979, in Lanzhou, Gansu, China, is a dedicated researcher in veterinary parasitology, focusing particularly on ticks and tick-borne diseases. With over a decade of experience in molecular biology and immunological techniques, he has contributed significantly to the understanding of pathogen-tick interactions. Currently serving as an Associate Researcher, Luo Jin has published widely in international journals and has demonstrated leadership in scientific innovation, especially in microRNA research and third-generation sequencing. He is affiliated with the Chinese Academy of Agricultural Sciences (CAAS) and continues to push the boundaries of parasitological research, particularly in preventive veterinary medicine. His scholarly contributions and commitment to tackling parasitic threats make him a strong candidate for the Best Researcher Award.

Publication Profile:

Scopus

✅ Strengths for the Award:

  1. Strong Research Output
    Luo Jin has consistently published in reputable, peer-reviewed journals such as FASEB Journal, Pathogens, Frontiers in Immunology, and Veterinary Parasitology, with multiple publications as first or corresponding author.

  2. Innovative Research Focus
    His work on microRNAs, SHERLOCK diagnostics, nanoparticle-based biosensors, and next-gen sequencing in tick-pathogen studies addresses emerging threats in veterinary parasitology and zoonotic diseases.

  3. Interdisciplinary Expertise
    Combines molecular biology, immunology, parasitology, and bioinformatics—crucial for developing new diagnostics and understanding vector-pathogen dynamics.

  4. International Relevance
    Research topics like Rickettsiales, Theileria, and tick-borne disease detection are globally significant, with practical applications in animal health and agriculture.

  5. Longevity and Commitment
    With over a decade of experience in the field and a consistent research trajectory since 2011, he brings both depth and continuity to his contributions.

⚠️ Areas for Improvement:

  1. Clarity in Role Designation
    There is ambiguity around his current designation. While listed as a “Graduate Student,” his CV reflects the experience and publication record of a seasoned Associate Researcher. Clarifying this may improve perception of academic status.

  2. Awards and Recognition
    Although the research output is strong, listing specific awards, grants, fellowships, or keynote speaker roles would help showcase external recognition of his work.

  3. Mentorship and Leadership
    Including information on training of students, project leadership, or collaboration management would further strengthen his profile for a “Best Researcher” title.

🎓 Education:

Luo Jin pursued his academic journey with a strong focus on veterinary sciences. He completed his PhD in Veterinary Medicine from Nanjing Agricultural University in 2018, where he deepened his expertise in tick-borne diseases and molecular diagnostics. Prior to his doctoral studies, he obtained his Master’s degree in Preventive Veterinary Medicine from Gansu Agricultural University (2008–2011), where he built a solid foundation in animal health and disease prevention. His graduate and postgraduate education has been closely aligned with research in molecular parasitology and veterinary microbiology. Throughout his academic career, he has combined practical fieldwork with advanced laboratory research, contributing to significant developments in diagnostic tools and vector-pathogen interaction mechanisms. His strong academic background and consistent focus on the interface between vector biology and molecular diagnostics highlight his dedication to science and public health.

💼 Experience:

Luo Jin has been working as an Associate Researcher since December 2011, focusing on the regulation mechanisms of tick development and pathogen transmission. At CAAS, he has employed molecular biology and immunological techniques to study tick-borne diseases and microRNA functions in vectors. He has led and collaborated on numerous research projects, including cutting-edge developments in SHERLOCK assay diagnostics and nanoparticle-based biosensors. Luo has played a pivotal role in characterizing novel microRNAs, investigating the pathogen community in ticks, and evaluating acaricide efficacy. His interdisciplinary approach spans veterinary parasitology, entomology, molecular biology, and immunology. He is recognized for his rigorous experimental methodology and impactful publications. His continued presence in the field over more than a decade has allowed him to mentor students and collaborate internationally, enhancing both academic and practical understanding of vector-borne diseases.

🔬 Research Focus:

Luo Jin’s research centers on tick biology, tick-pathogen interactions, and the development of advanced molecular diagnostics for tick-borne diseases. His key interests include the regulation of gene expression via microRNAs in tick vectors, understanding the micropathogen communities in various tick species, and evaluating the effectiveness of anti-parasitic agents like fipronil. He has also worked extensively on loop-mediated isothermal amplification (LAMP) techniques, nanoparticle-based detection, and SHERLOCK assays for rapid field diagnostics. Luo Jin’s work bridges the gap between molecular parasitology and practical veterinary applications, offering innovative solutions to long-standing problems in animal and zoonotic health. His research significantly contributes to improved disease surveillance, early detection, and control of vector-borne diseases in both domestic animals and wildlife, particularly in China’s rural and pastoral regions.

📚 Publications Top Notes:

  1. 🧬 Microbial Pathogen Community in Ornithodoros lahorensis (Acari: Argasidae) in ChinaFASEB Journal, 2025

  2. 🧪 Role of Recognition MicroRNAs in Haemaphysalis longicornis and Theileria orientalis InteractionsPathogens, 2024

  3. 🩸 A Novel MicroRNA and the Target Gene TAB2 Regulate Blood Sucking and Spawn Rate in Hyalomma asiaticumFront Immunol, 2022

  4. 🧫 Micropathogen Community Identification in Ticks Using Third-Generation SequencingInt J Parasitol Parasites Wildl, 2021

  5. 🔬 MicroRNA-1 Expression and Function in Hyalomma anatolicum anatolicum TicksFront Physiol, 2021

  6. 🧯 Dynamic MicroRNA Analysis Across Life Stages of Rhipicephalus microplus by High-Throughput SequencingPathogens, 2022

  7. 🧬 Characterization of an MLP Homologue from Haemaphysalis longicornis TicksPathogens, 2020

  8. ⚗️ Swift Detection of Theileria annulata Using SHERLOCK AssayVeterinary Parasitology, 2025

  9. 🐫 Molecular Insights into Rickettsiales in Camels and Ticks; Accidental Colpodella sp. DetectionVeterinary Microbiology, 2025

  10. 🧫 Differential Detection of Ovine Theileria via LAMP and Nanoparticle BiosensorVeterinary Parasitology, 2025

🧾 Conclusion:

Dr. Luo Jin is a highly competent and innovative researcher in the field of veterinary parasitology. His substantial contributions in the study of ticks and tick-borne diseases using cutting-edge molecular tools demonstrate both scientific rigor and real-world application. While more visibility through awards and professional titles would further support his nomination, the breadth, quality, and impact of his research make him a strong and deserving candidate for the Best Researcher Award.