Haijiang Yang | Ecosystem Services | Best Researcher Award

Published on by Zoology Honour

Assoc. Prof. Dr. Haijiang Yang | Ecosystem Services | Best Researcher Award

Associate Professor at Lanzhou University, China

Dr. Haijiang Yang is an Associate Professor at the College of Earth and Environmental Sciences, Lanzhou University, with a focus on ecosystem services assessment and modeling, human-environment interactions, and regional sustainable development. His academic contributions span interdisciplinary environmental studies, combining geography, ecology, and socio-economic evaluation to drive science-based policy-making and ecological restoration strategies.

Professional Profile

ORCID

Education

Dr. Yang pursued his academic journey through a series of progressive and specialized degrees in geographical and environmental sciences. He earned his Ph.D. in Geography from Lanzhou University, where he laid the foundation for his research in ecosystem services and socio-ecological systems. Prior to this, he completed his Master’s degree in Physical Geography at Ningxia University, focusing on land use, soil properties, and regional environmental changes. His undergraduate studies in Geographical Science at Weinan Normal University provided him with a strong grounding in environmental analysis and spatial modeling.

Experience

Dr. Yang’s academic career advanced swiftly through rigorous postdoctoral research and faculty appointments. He served as a Cuiying Postdoctoral Fellow at Lanzhou University, engaging in high-impact studies on ecosystem services in fragile mountainous regions. He was appointed as Associate Professor in the same institution, where he continues to contribute to both teaching and research. Over the past five years, he has led or participated in numerous national and provincial projects, including a National Natural Science Foundation grant investigating spatiotemporal evolution of water supply services and socio-ecological value mechanisms in the Qilian Mountains, and a prestigious China Postdoctoral Fellowship on the coupling effects of climate and land use change.

Research Focus

Dr. Yang’s research focuses on the assessment, valuation, and modeling of ecosystem services in ecologically sensitive areas, particularly in the Qilian Mountains and the broader Yellow River Basin. His work incorporates spatial analysis, socio-ecological modeling, and sustainability science to explore themes such as spillover effects of ecosystem services, cost-benefit sharing, horizontal ecological compensation, and human well-being. He has also investigated land use impacts, biodiversity-climate interactions, and resource efficiency in agricultural and pastoral systems. Through these research areas, he aims to offer scientific support for environmental planning, ecological restoration, and regional sustainable development strategies in China’s western regions.

Publication Top Notes

Title: Assessing Pollinator Abundance and Services in the Qilian Mountains: A Spatial and Temporal Analysis from 1990 to 2020 for Enhanced Agricultural Sustainability and Crop Yield Optimization
Authors: Yang, H.; Gou, X.; Niu, Y.; Shi, W.; Wang, X.; Wei, Y.; Maraseni, T.
Journal: SSRN
Summary: This study investigates changes in pollinator abundance and ecosystem services in the Qilian Mountains from 1990 to 2020. It highlights spatial and temporal patterns and links pollinator dynamics to agricultural sustainability and crop yield improvements. The findings offer policy insights for biodiversity conservation and agroecological planning in mountainous regions.

Title: Increasing Deep Soil Water Uptake During Drought Does Not Indicate Higher Drought Resistance
Authors: Yin, D.; Gou, X.; Liu, J.; Zhang, D.; Wang, K.; Yang, H.
Journal: Journal of Hydrology 
Summary: This research challenges the assumption that deep soil water uptake enhances drought resistance in plants. Using tree-ring and isotopic data, the study reveals that although trees may access deep water during drought, this does not guarantee improved growth or resilience, emphasizing the need to rethink forest management strategies under climate change.

Title: Response of Tree Growth to Drought Variability in Arid Areas: Local Hydroclimate and Large-Scale Precipitation
Authors: Zhang, Y.; Gou, X.; Wang, T.; Zhang, F.; Wang, K.; Yang, H.; Yang, K.
Journal: Environmental Research
Summary: This study examines how local and regional precipitation patterns influence tree growth in arid zones. The results show that local hydroclimatic variability plays a more significant role than large-scale climatic drivers, providing insight into ecosystem sensitivity in drylands.

Title: The Sino-US Trade Friction Would Exacerbate Global Inequalities in Achieving SDGs
Authors: Ma, W.; Li, C.; Kou, J.; Wang, X.; Yang, H.; Xue, B.; Gou, X.
Journal: Journal of Cleaner Production
Summary: This article evaluates how Sino-US trade tensions could hinder progress toward the Sustainable Development Goals (SDGs). It underscores how economic disputes may disproportionately affect developing regions, amplifying global disparities in environmental and socio-economic sustainability.

Title: Elevation-Dependent Tree Growth Response to Recent Warming and Drought on Eastern Tibetan Plateau
Authors: Yin, D.; Gou, X.; Yang, H.; Wang, K.; Liu, J.; Zhang, Y.; Gao, L.
Journal: Climatic Change 
Summary: The study analyzes tree growth patterns in response to warming and drought across elevation gradients in the eastern Tibetan Plateau. It finds that high-elevation forests exhibit stronger growth sensitivity to climatic shifts, highlighting their vulnerability and importance for regional climate adaptation strategies.

Conclusion

Dr. Haijiang Yang stands out as a dynamic and impactful researcher in the domains of ecosystem services, land use sustainability, and regional socio-ecological resilience. Through his deep understanding of geography and environmental systems, he has produced a body of work that informs both academic scholarship and public policy. His leadership in national research projects, high-quality publications in influential journals, and commitment to interdisciplinary integration make him a deserving candidate for recognition as a Best Researcher. His work not only advances scientific frontiers but also addresses some of the most pressing ecological challenges facing China’s mountainous and agricultural regions today.

Shubin Liu | Environmental Studies | Best Researcher Award

Published on by Zoology Honour

Shubin Liu | Environmental Studies | Best Researcher Award

Assistant professor at Fuzhou University ,China

Dr. Shubin Liu is an Assistant Professor at Fuzhou University, known for his pioneering work in computational imaging and artificial intelligence 🧠📸. With a strong academic and research track, he has authored numerous high-impact publications in top-tier journals such as Advanced Functional Materials, PhotoniX, and Nanophotonics. Over the past three years, he has amassed a cumulative impact factor exceeding 55 as a first author 🏆. Dr. Liu also holds a prestigious position on the Young Editorial Board of the international journal iMeta (IF > 23.8) 📝. His patent on a real-time large-scale image synthesis algorithm reflects his dedication to translating advanced technologies into practical tools ⚙️. A forward-thinking scholar and innovator, Dr. Liu is advancing the fields of microscopy, deep learning, and environmental monitoring. His academic rigor and professional excellence position him as a deserving nominee for the Best Researcher Award 🥇.

Professional Profiles📖

🎓 Education 

Dr. Shubin Liu has pursued rigorous academic training, building a strong foundation in engineering and computational sciences 🎓. While the specifics of his degree titles and institutions are not fully detailed, his current academic stature as an Assistant Professor at Fuzhou University indicates a doctorate-level qualification (Ph.D.) and likely prior graduate studies focused on physics, optics, or computer science 💻🧬. His academic journey reflects specialization in computational imaging, AI modeling, and optics-based simulation—interdisciplinary areas requiring strong theoretical grounding and technical expertise 📘. Dr. Liu’s continuous research output, editorial board membership in iMeta, and publication in journals like Advanced Functional Materials and PhotoniX speak to a research-driven education shaped by analytical rigor and scientific creativity 📊. His academic path has uniquely equipped him to bridge theoretical computation with real-world imaging applications 🔍.

🏗 Experience 

Dr. Shubin Liu serves as an Assistant Professor at Fuzhou University, where he is actively involved in cutting-edge research and mentoring the next generation of scientists 🧑‍🏫. His professional experience is anchored in computational imaging, artificial intelligence, and deep learning for environmental and microscopic systems 🖥️🔬. Over the past 3 years, he has authored first-author papers in internationally reputed journals like Advanced Functional Materials, PhotoniX, and Nanophotonics 🌍. Dr. Liu also contributed to national scientific instrument projects and patented a real-time large-scale image synthesis algorithm ⚙️. His academic impact is underscored by a citation index of 103–5, showcasing the influence and reach of his work. Apart from research, he holds an editorial position at iMeta—a role that reflects both scholarly leadership and critical peer recognition 📝. His career so far embodies academic excellence, innovation, and a commitment to advancing imaging science.

🏆 Awards & Honors 

Dr. Shubin Liu has garnered significant recognition for his scholarly achievements 🏆. Most notably, he serves on the Young Editorial Board of iMeta—an international journal with an impact factor exceeding 23.8, a rare honor that underscores his early career excellence in high-impact research 🧠📘. His publications, many of which appear in top-tier journals such as Advanced Functional Materials, PhotoniX, and Nanophotonics, reflect his thought leadership and innovation in computational and optical imaging 📈. He has also been granted a national patent for a real-time, large-scale image synthesis algorithm designed for microscopic systems ⚙️. With a cumulative first-author impact factor of over 55, his work stands as a benchmark in the intersection of artificial intelligence and imaging technologies 📊. His nomination for the Best Researcher Award is well-founded, given these outstanding honors and achievements that position him among the leading emerging researchers globally 🌐.

🔬 Research Focus

Dr. Shubin Liu’s research is at the intersection of computational imaging, artificial intelligence, and deep learning, with practical applications in environmental monitoring and microscopy 🔬📡. He aims to develop next-generation imaging systems that blend high-resolution capture with intelligent data processing, optimizing real-time imaging performance through advanced algorithms 🧠💡. His patented algorithm for large-scale image synthesis exemplifies this approach by enabling real-time, high-precision data interpretation for microscopic systems ⚙️. Dr. Liu’s research spans multiple domains—from Nanophotonics to Advanced Functional Materials—where he investigates light-matter interaction, pattern recognition, and image reconstruction 📷🧬. His use of machine learning models improves visual data accuracy, supporting various fields such as healthcare, environmental sciences, and quantum imaging 🌱📊. With an emphasis on interdisciplinary integration, Dr. Liu’s work not only pushes scientific boundaries but also offers scalable, real-world solutions for advanced imaging and sensing systems 🌐.

🛠️ Skills

Dr. Shubin Liu brings a robust set of interdisciplinary skills that make him a leader in modern scientific research 🧠🔍. His core competencies include computational imaging, AI-based image reconstruction, and microscopy algorithm design 📷🤖. He is highly proficient in deep learning frameworks like TensorFlow and PyTorch, alongside programming languages such as Python, MATLAB, and C++ 💻. His work demands expertise in signal processing, image synthesis, and optical system simulation, all of which he employs in developing scalable imaging tools and patentable technologies 🛠️. Dr. Liu also demonstrates editorial acumen through his service on the iMeta board, indicating strong scientific writing, peer review, and research evaluation abilities 📚📝. Equally strong in theory and implementation, he excels in data interpretation, visualization, and machine vision technologies, making him highly adaptable in academia and industry. His versatile skill set enables pioneering innovations in AI-driven imaging systems 🔬.

📚 Publications – Top Notes

A Switchable‑Mode Full‑Color Imaging System with Wide Field of View for All Time Periods (Photonics, July 8, 2025; DOI: 10.3390/photonics12070689)

Authors: Shubin Liu, Linwei Guo, Kai Hu, Chunbo Zou ljnu.smart.vipslib.com+5ACS Publications+5ResearchGate+5OUCI+5MDPI+5ORCID+5

Year: 2025

Citations: None found (too recently published)

 

Large‑scale microscope with improved resolution using SRGAN (Optics & Laser Technology, Dec 2024; DOI: 10.1016/j.optlastec.2024.111291)

Authors: Bing‑Kun Xie, Shu‑Bin Liu, Lei Li PubMed+9OUCI+9Nanophotonics+9

Year: 2024

Citations: No citation count available yet (likely none or very few)

 

Polyelectrolyte mixture enables electrowetting liquid lens with large optical power tuning range (Applied Physics Letters, Aug 5, 2024; DOI: 10.1063/5.0226826)

Authors: Kirsch, Peers from Sichuan University & China Academy of Engineering Physics (exact names not listed) Nature

Year: 2024

Citations: Not specified (likely zero or few)

 

Compact biologically inspired camera with computational compound eye (Nanophotonics, Apr 23, 2024; DOI: 10.1515/nanoph-2023-0782)

Authors: Shu‑Bin Liu, Xu‑Ning Liu, Wei‑Jie Fan, Meng‑Xuan Zhang, Lei Li Astrophysics Data System+12PubMed+12PubMed+12

Year: 2024

Citations: No citation data found

 

Varifocal diffractive lens based on microfluidics (Optics and Lasers in Engineering, Mar 2024; DOI: 10.1016/j.optlaseng.2023.107955)

Authors: Weijie Fan, Xu‑Ning Liu, Yin Zhou, Junhao Zhang, Shu‑Bin Liu, Lei Li OUCI

Year: 2024

Citations: Not available

 

Multimodal integration for Barrett’s esophagus (iScience, Nov 14, 2023; DOI: 10.1016/j.isci.2023.108437)

Authors: Shubin Liu, Shiyu Peng, Mengxuan Zhang, Ziyuan Wang, Lei Li Cell+2PubMed+2x-mol.net+2

Year: 2023

Citations: Not specified

 

Reflective zoom lens based on liquid metal (Optics Communications, Oct 2023; DOI: 10.1016/j.optcom.2023.129995)

Authors: Xu‑Ning Liu, Jing‑Yi Fu, Shu‑Bin Liu, Zi‑Yi Zhang, Yang‑Yu Li, Na Xie, Yu‑Hai Li, Lei Li opg.optica.org+15OUCI+15ORCID+15

Year: 2023

Citations: 0 (according to Scilit) Scilit+1Scilit+1

 

Optofluidic zoom system with increased field of view and less chromatic aberration (Optics Express, Jul 17, 2023; DOI: 10.1364/oe.498096)

Authors: Lin Li, [others not listed] ResearchGate

Year: 2023

Citations: At least 5 (per ResearchGate)

Conclusion✅

Dr. Shubin Liu stands out as a dynamic and impactful researcher at the frontier of computational imaging and artificial intelligence 🔬🤖. With an impressive array of first-author publications in high-impact journals like Advanced Functional Materials, PhotoniX, and Nanophotonics, he has already made significant contributions to the advancement of imaging technologies 🌟. His editorial role with iMeta (IF > 23.8), combined with a national patent and a cumulative first-author impact factor exceeding 55, underscores both scholarly excellence and innovation 🧠📈. Dr. Liu’s research is deeply relevant to today’s scientific challenges—addressing needs in environmental monitoring, microscopic analysis, and real-time AI-driven imaging 📡🌱. With a rare blend of technical skill, academic rigor, and forward-looking vision, he exemplifies the qualities recognized by the Best Researcher Award. He is a valuable contributor to global scientific progress and a deserving candidate for this prestigious honor 🏆.