Yang Chen | Energy and Sustainability | Best Researcher Award

Mr. Yang Chen | Energy and Sustainability | Best Researcher Award

Mr. Yang Chen | Energy and Sustainability | Best Researcher Award | PhD Candidate | The Hong Kong Polytechnic University | Hong Kong 

Mr. Yang Chen is a dedicated researcher in environmental and energy economics whose work integrates advanced computational methods with policy-relevant environmental analysis, contributing significantly to the understanding of carbon emissions, pollution control, and sustainability transitions. Mr. Yang Chen’s academic foundation is rooted in his doctoral studies at The Hong Kong Polytechnic University, where he specializes in environmental modelling, causal complexity analysis, and machine-learning–assisted prediction systems. His education equips him with strong analytical abilities in econometrics, environmental impact assessment, and data-driven research methodologies, forming the backbone of his scholarly identity. Professionally, Mr. Yang Chen has engaged in several completed and ongoing research projects involving interdisciplinary teams and multi-institutional networks, allowing him to contribute to innovative work addressing global environmental and energy challenges. His research interests include carbon emission modelling, renewable energy policy evaluation, environmental pollution dynamics, and the application of fuzzy-set qualitative comparative analysis (fsQCA) combined with SHAP-based machine-learning frameworks, reflecting his commitment to methodological innovation and complex-systems thinking. Mr. Yang Chen’s research skills span statistical modelling, causal inference, policy impact analysis, machine learning for environmental prediction, scientific writing, and peer-review activities for high-impact journals, strengthening his role as a rising scholar in sustainability research. His publication record includes approximately ten papers in reputable JCR Q1 journals such as Building and Environment, Environmental Impact Assessment Review, Earth’s Future, Journal of Cleaner Production, and Journal of Environmental Management, demonstrating consistent scholarly productivity. In addition to journal articles, Mr. Yang Chen has contributed as an editorial board member to two academic books published by leading Chinese presses, reflecting recognition of his expertise. His citation metrics, including more than two hundred citations, an h-index of six, and multiple i10-index publications, further underscore the growing influence of his work. Although he is early in his career and has not yet accumulated major awards, Mr. Yang Chen’s recognition as a reviewer for top journals and his authorship in high-impact platforms demonstrate his academic credibility and emerging leadership within the research community. In conclusion, Mr. Yang Chen exemplifies the qualities of a forward-looking environmental economist whose combination of methodological innovation, strong publication output, and commitment to interdisciplinary sustainability research positions him for significant future contributions to global climate policy, environmental modelling, and academic leadership.

Profile:  ORCID | Google Scholar

Featured Publications

  1. Chen, Y., Luo, L., Feng, W., Wu, J., & Cai, W. (2025). Progressive prediction of embodied carbon emissions across stages of schematic design with machine learning. Journal of Cleaner Production. (Citations: 3)

  2. Chen, Y., Guo, X., Yi, W., Hong, J., & Wen, Q. (2025). Synergistic pollution and carbon reductions from the China National Sustainable Communities Pilot Policy. Energy. (Citations: 5)

  3. Zheng, S., Chen, Y., Hong, J., & Pu, Y. (2025). Global climate policy effectiveness analysis: Evidence from 49 countries, 1951–2018. Journal of Comparative Policy Analysis. (Citations: 2)

  4. Chen, Y., Hong, J., Wen, Q., Yi, W., & Zheng, S. (2024). The Janus-faced role of renewable energy development in global carbon reduction under renewable energy policies. Earth’s Future. (Citations: 12)

  5. Chen, Y., Lai, T., Hong, J., & Teng, Y. (2023). Path analysis of regional carbon lock-in and unlocking from a qualitative comparative perspective. In Proceedings of the International Symposium on Advancement of Construction Management and Real Estate. (Citations: 1)

  6. Chen, Y., Zhao, Z., Yi, W., Hong, J., & Zhang, B. (2023). Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities. Environmental Impact Assessment Review. (Citations: 18)

  7. Chen, Y., Hong, J., Tang, M., Zheng, Y., Qiu, M., & Ni, D. (2022). Causal complexity of environmental pollution in China: A province-level fuzzy-set qualitative comparative analysis. Environmental Science and Pollution Research. (Citations: 40)

 

Zeyang Wei | Environmental Science | Best Researcher Award

Zeyang Wei | Environmental Science | Best Researcher Award

Dr Zeyang Wei, Tsinghua University, China

Dr. Zeyang Wei 🎓🌱 is a Ph.D. candidate at Tsinghua University’s School of Environment (2020-2025), specializing in environmental impact assessment, agent-based modeling, and environmental zoning management. He holds a Bachelor’s degree from Renmin University of China in Agricultural Economics & Rural Development 🌍📊. His research explores industrial restructuring, pollution reduction, and carbon mitigation, with publications in top journals. He has presented at international conferences 🌏🎤 and serves as a teaching assistant. Recognized with the Tsinghua University Comprehensive Scholarship 🏆, he contributes significantly to environmental science through modeling and policy analysis. 📑🔬

Publication Profile

Scopus

Education

Dr. Zeyang Wei 🎓 is a Ph.D. candidate at Tsinghua University, Beijing (2020-2025), specializing in environmental impact assessment, agent-based modeling for industries, and environmental zoning management 🌍📊. Under the guidance of Prof. Yi Liu, he explores sustainable industrial strategies. He earned his bachelor’s degree from Renmin University of China (2016-2020) in Agricultural Economics & Rural Development 🌾📈. His undergraduate thesis focused on the environmental and economic assessment of industrial investment transfer from Beijing to the BTH region. Passionate about sustainable development, Dr. Wei integrates economic and environmental perspectives to drive impactful research for a greener future 🌱🏭.

Experience

Dr. Zeyang Wei has led multiple research projects focusing on environmental noise, computing, and pollution control 🌱📊. From October 2020 to June 2021, he analyzed community responses to environmental noise, applying statistical analysis 📉. In mid-2021, he explored environmental computing, summarizing its development and applications 🖥️📄. Between December 2021 and June 2023, he researched pollution reduction and carbon mitigation strategies across industries 🌍⚡. His Ph.D. thesis (2021–present) involves developing an agent-based model to assess industrial firms’ environmental impacts under integrated zoning policies 🏭🔬. His expertise spans industry analysis, research methodology, and academic writing ✍️📚.

Research Focus

Z. Wei’s research focuses on environmental regulation 🌍📜, industrial restructuring 🏭🔄, and computational environmental science 💻🌱. Their work explores the effectiveness of China’s integrated environmental zoning in reshaping industries, agent-based modeling for environmental studies, and the evolution of environmental computing. They also examine how emission permit regulations impact local industries and how social noise perception influences mitigation behavior. By integrating policy analysis, computational modeling, and environmental impact assessment, Wei contributes to sustainable development and environmental management. Their interdisciplinary approach bridges environmental science, industrial policy, and digital innovation for greener and more efficient industries. 🔬📊🌏

Presentation

Dr. Zeyang Wei’s research focuses on environmental economics 🌍📊, particularly the impact of discharge permits on the economic and emission performance of industrial firms 🏭💰. Using an agent-based modeling approach 🤖📈, his work explores how regulatory policies influence pollution control and sustainable industrial development. By integrating economic analysis with environmental assessment, he aims to optimize strategies for balancing economic growth and environmental responsibility ⚖️🌱. His findings provide insights for policy-makers and industry leaders to enhance eco-friendly practices while maintaining profitability. His expertise lies at the intersection of industrial sustainability, environmental policy, and economic modeling 🔬📉.

Achievements & Academic Service

Dr. Zeyang Wei is affiliated with the Faculty of Resources and Environmental Science at Hubei University in Wuhan, China. His research focuses on remote sensing and image analysis, particularly in areas such as attribute profiles, convolutional neural networks (CNNs), and crop classification. His work aims to enhance the accuracy of image classification and improve the understanding of crop characteristics through advanced image processing techniques.

Publication Top Notes

Does the China’s integrated environmental zoning regulation serve an effective approach for industrial restructuring?

Conclusion

Dr. Zeyang Wei is a distinguished researcher known for his excellence in academia, pioneering innovative modeling techniques, and making significant contributions to his field 🏆📊. His groundbreaking research has advanced knowledge and inspired new methodologies in scientific studies 🔬📖. With a strong commitment to innovation and academic excellence, Dr. Wei has consistently demonstrated a remarkable ability to solve complex problems and push the boundaries of research 🚀💡. His dedication and outstanding achievements make him an ideal candidate for the Best Researcher Award 🏅👏. His work continues to influence and shape the future of research and development. 🌍🔍