Xinyue Zhang | Carbon Footprint Attribution and Governance in Biopharmaceutical Supply Chain Networks | Excellence in Research Award

Dr. Xinyue Zhang | Carbon Footprint Attribution and Governance in Biopharmaceutical Supply Chain Networks | Excellence in Research Award

Beijing University of Chemical Technology | China

Dr. Xinyue Zhang is an emerging researcher in human–computer interaction and human–AI collaboration, with an h-index of 1, 3 publications, and 2 citations across 2 scholarly documents. Her research focuses on enhancing team effectiveness through the integration of human cognition and artificial intelligence systems. She has contributed to understanding the role of shared mental models in improving knowledge complementarity within human–AI teams, enabling more efficient collaboration and decision-making. Her work also explores the impact of interruption dynamics on academic performance, offering insights into cognitive processes and communication efficiency. By combining behavioral analysis with interactive system design, her research advances the development of intelligent, user-centered technologies that improve productivity, adaptability, and performance in complex collaborative environments.

 

Citation Metrics (Scopus)

5

4

3

2

1

0

Citations
2

h-index
1

Documents
3

Citations

h-index

Documents


View Scopus Profile

Featured Publications

Guangyue Gao | Trade Networks & Maritime Networks | Research Excellence Award

Dr. Guangyue Gao | Trade Networks & Maritime Networks | Research Excellence Award

Ocean University of China | China

Dr. Guangyue Gao’s research portfolio reflects a focused contribution to maritime economics, transport networks, and marine policy analysis, with particular emphasis on fairness–efficiency dynamics across regional scales. The scholarly record comprises 5 documents, which have received 3 citations, resulting in an h-index of 1. Core research outputs apply advanced network science and game-theoretic perspectives to global maritime transport systems, especially energy trade corridors. A notable award-winning study develops multi-layer network models of global maritime LPG trade using CEPII data and AIS big data, integrating supply–demand dynamics, maritime transport infrastructure, and relational trade structures. The work identifies dual-core structures led by major economies, highlights the strategic centrality of key maritime hubs, and reveals structural disparities and stability hierarchies across network dimensions. Overall, this research advances empirical understanding of global maritime energy trade, network robustness, and policy-relevant insights into marine economic systems and transport resilience.

Citation Metrics (Scopus)

5

4

3

2

1

0

Citations
3

Documents
5

h-index
1

Citations

Documents

h-index

View Scopus Profile

Featured Publication