Yuandong Wang | Environmental Science | Best Researcher Award

Posted on by ScienceFather

Yuandong Wang | Environmental Science | Best Researcher Award

Associate Professor at Gannan Normal University, China.

Yuandong Wang, born in October 1985, is an accomplished Associate Professor, Ph.D. holder, and Master’s Supervisor at Gannan Normal University. A Communist Party member, Wang has extensive experience in environmental remote sensing, cloud computing, and machine learning applications in geosciences, with a particular focus on ecosystem sustainability. Over his career, he has led seven projects funded by notable institutions like the National Natural Science Foundation and Jiangxi Provincial Department of Education. With 25 research papers, including nine as the primary author in prestigious SCI journals, Wang’s work primarily investigates ecological patterns and processes influenced by human activities. His dedication to advancing remote sensing applications is reflected in his leadership roles within Gannan Normal University’s Geographic Information Science Department and his ongoing contributions to teaching and supervising student projects.

Publication Profile

Scopus

Education Background

Yuandong Wang’s academic journey reflects a strong foundation in Geographic Information Systems and remote sensing. He completed his Bachelor’s degree in Geographic Science at Ludong University in 2008. Pursuing advanced studies, he earned a Master’s degree from the Northeast Institute of Geography and Agroecology at the Chinese Academy of Sciences (CAS) in 2011. Wang then attained his Ph.D. in Environmental Remote Sensing and Geographic Information Systems at the CAS Yantai Institute of Coastal Zone Research in 2014, guided by renowned advisor Hou Xiyong. Furthering his expertise, he undertook a postdoctoral fellowship at CAS’s Aerospace Information Research Institute, specializing in cartography and GIS under Wu Bingfang from 2015 to 2019.

Professional Certification

Wang joined Gannan Normal University in 2014 as a lecturer in the College of Geography and Environmental Engineering and was promoted to Associate Professor in 2020. His extensive roles include Director of the Department of Resources, Environment, and Urban-Rural Planning and Deputy Chair of the Professorial Committee. Wang has taught over 20 courses, including Remote Sensing Digital Image Processing, Python Programming, and GIS Spatial Analysis, reflecting his commitment to academic excellence. A mentor to many students, he has overseen various national and university-level projects, including studies on remote sensing applications in agriculture. His engagement extends to training programs in geospatial data, cloud computing, and AI, enriching his expertise in applying digital solutions to geoscience challenges.

Awards and Honors 

Yuandong Wang has earned numerous accolades for his contributions to environmental remote sensing and geosciences. His leadership in research projects funded by the National Natural Science Foundation of China and the Jiangxi Provincial Department of Education reflects his scholarly impact. Wang’s published work in high-impact journals has garnered recognition within the scientific community, particularly for his innovative use of cloud computing and machine learning in geospatial analysis. His dedication to advancing the field of geographic information science and his active role in student mentorship and departmental leadership have established him as a prominent figure in both research and academia.

Research Focus

Yuandong Wang’s research centers on environmental remote sensing, cloud computing, and machine learning, with applications in ecological sustainability. He explores ecological dynamics and human-environment interactions in key regions through advanced data processing techniques. His work emphasizes surface parameter remote sensing and cloud computing applications for monitoring ecosystem health, with projects investigating phenomena like vegetation degradation and land sustainability in areas impacted by human activity. Wang has led significant studies, including remote sensing for vegetation patterns in rare earth mining regions, assessing ecological impacts on land resources, and developing advanced models for environmental monitoring using machine learning.

Publication Top Notes  

Assessing the impact of human activities on ecosystem asset dynamics in the Yellow River Basin from 2001 to 2020

Authors: Ming, L., Wang, Y., Liu, G., Meng, L., Chen, X.

Year: 2024

Journal: Scientific Reports, 14(1), 22227

Citations: 0

Determining the planting year of navel orange trees in mountainous and hilly areas of southern China: a remote sensing-based method

Authors: Lei, J., Wang, S., Wang, Y., Luo, W.

Year: 2024

Journal: Journal of Mountain Science, 21(10), pp. 3293–3305

Citations: 0

Dynamics of urban expansion and form changes impacting carbon emissions in the Guangdong-Hong Kong-Macao Greater Bay Area counties

Authors: Ming, L., Wang, Y., Chen, X., Meng, L.

Year: 2024

Journal: Heliyon, 10(8), e29647

Citations: 6

Community characteristics of alkaline phosphatase gene bacteria in soil of different land use in rare earth mining area

Authors: Yang, X.-F., Lin, Z., Zhao, C., Chen, Y.-U., Wang, Y.-D.

Year: 2023

Journal: Journal of Ecology and Rural Environment, 39(6), pp. 810–818

Citations: 0

Variations of extreme precipitation events with sub-daily data: a case study in the Ganjiang River basin

Authors: Liu, G., Xiang, A., Wan, Z., Wang, Y., Lin, S.

Year: 2023

Journal: Natural Hazards and Earth System Sciences, 23(3), pp. 1139–1155

Citations: 4

Characteristics of soil phoD bacterial community and their relationship with heavy metals under five vegetation restoration in acid mines

Authors: Yang, X., Zheng, L., Wan, Z., Men, L., Yu, D.

Year: 2022

Journal: Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae, 42(12), pp. 251–261

Citations: 0

Remotely Monitoring Vegetation Productivity in Two Contrasting Subtropical Forest Ecosystems Using Solar-Induced Chlorophyll Fluorescence

Authors: Liu, G., Wang, Y., Chen, Y., Xie, J., Tang, X.

Year: 2022

Journal: Remote Sensing, 14(6), 1328

Citations: 4

Spatiotemporal variations of water resources metabolism efficiency in the Beijing-Tianjin-Hebei region, China

Authors: Meng, L., Yang, D., Ding, Z., Wang, Y., Ma, W.

Year: 2020

Journal: Water Science and Technology: Water Supply, 20(4), pp. 1178–1188

Citations: 7

Spectral Variation and Corresponding Changing Mechanism of Suspended Particulate Material Absorption in Poyang Lake during Flood Periods

Authors: Wang, Y., You, X., Yu, L., Xu, X., Liu, G.

Year: 2018

Journal: Advances in Materials Science and Engineering, 2018, 6314745

Citations: 1

Spatiotemporal variations and regional differences of extreme precipitation events in the Coastal area of China from 1961 to 2014

Authors: Wang, X., Hou, X., Wang, Y.

Year: 2017

Journal: Atmospheric Research, 197, pp. 94–104

Citations: 75

Mo Chen | Education | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Mo Chen | Education | Best Researcher Award

Assist. Prof. Dr. Mo Chen, University of Saint Joseph (Macao), Macau

Assist. Prof. Dr. Mo Chen is an accomplished academic and certified behavior analyst with extensive experience in special education and educational psychology. She earned her Ph.D. in Educational Psychology from the University of Minnesota-Twin Cities in 2016, with a focus on Special Education and Quantitative Methods in Education. She also holds an M.Ed. and B.A. from Beijing Normal University, China, specializing in Children Psychological Measurement and Special Education. Dr. Chen is currently an Assistant Professor at the University of Saint Joseph in Macau SAR, China. She has previously held roles as a Research Scientist at the National Institute of Education, Nanyang Technological University in Singapore, and as a Behavior Therapist in the U.S.

Publication Profile

Google Scholar

Education Background

Assist. Prof. Dr. Mo Chen holds a diverse educational background. She completed her Ph.D. in 2016 from the Department of Educational Psychology at the University of Minnesota-Twin Cities, with a major in Special Education and a minor in Quantitative Methods in Education. Prior to this, she earned her M.Ed. in 2010 from the Faculty of Education at Beijing Normal University, China, specializing in Children Psychological Measurement and Assessment. Dr. Chen’s academic journey began at Beijing Normal University, where she obtained a B.A. in Special Education in 2007, as well as a Double B.A. in Foreign Languages and Literature from the School of Foreign Languages and Literature at the same institution in the same year.

 

Professional Certification

Assist. Prof. Dr. Mo Chen is a Board Certified Behavior Analyst – Doctoral (BCBA-D), a prestigious certification she has held since 2017. This certification, identified by number 1-17-29042, signifies her expertise in behavior analysis at the doctoral level. The BCBA-D credential demonstrates her advanced skills in assessing and implementing behavioral interventions, particularly in educational settings for individuals with special needs. It reflects her commitment to evidence-based practices and her capability to conduct and supervise high-level behavioral analysis research, making significant contributions to the field of special education and applied behavior analysis.

 

Honors and Awards

Assist. Prof. Dr. Mo Chen has an impressive academic record marked by numerous accolades in the field of special education. In 2018, she was nominated for the prestigious Albert Nelson Marquis Lifetime Achievement Award by Marquis Who’s Who®. Dr. Chen secured a full scholarship at the University of Minnesota from 2010 to 2015, including a Graduate Fellowship in the first year. Her exemplary performance at Beijing Normal University (2003-2010) was recognized with multiple scholarships, an Excellent Graduate award, and honors for her exceptional Bachelor Thesis. These achievements reflect her dedication and excellence in her academic pursuits.

Teaching Experience

Assist. Prof. Dr. Mo Chen has received numerous accolades throughout her academic career. In 2018, she was a nominee for the prestigious Albert Nelson Marquis Lifetime Achievement Award by Marquis Who’s Who®. She secured a full scholarship at the University of Minnesota (2010-2015) and a Graduate Fellowship (2010-2011). Her outstanding performance at Beijing Normal University earned her multiple scholarships (2003-2010), along with recognition as an Excellent Graduate and for her exceptional Bachelor Thesis. These achievements highlight her dedication and excellence in the field of special education.

Research Focus

Dr. Mo Chen’s research primarily focuses on augmentative and alternative communication (AAC), particularly for individuals with intellectual and developmental disabilities (IDD). Her work involves examining the effectiveness of speech-generating devices (SGDs), iPad-based interventions, and picture exchange communication systems to improve communication skills in children and adults with disabilities. Dr. Chen has contributed significantly to inclusive education, communication modality sampling, and interventions aimed at increasing task engagement and social inclusion. Additionally, she has explored the cognitive aspects of Chinese character recognition and the impact of cultural factors on adaptive behavior measures, highlighting a multidisciplinary approach to improving the quality of life for individuals with developmental disabilities.

Publication Top Notes  

  • 🗣️ “Comparing single case design overlap-based effect size metrics from studies examining speech generating device interventions” – 69 citations, 2016
  • 🌏 “Inclusive education in Asia: Insights from some country case studies” – 46 citations, 2021
  • 📚 “Describing treatment intensity in milieu teaching interventions for children with developmental disabilities: A review” – 44 citations, 2014
  • 🧠 “Communication Modality Sampling for a Toddler With Angelman Syndrome” – 41 citations, 2013
  • 📱 “Comparing First Graders’ Attitudes and Preferences Toward a Peer Using an iPad®-Based Speech-Generating Device and a Non-Electronic AAC System” – 27 citations, 2016
  • 📊 “Significant regional inequalities in the prevalence of intellectual disability and trends from 1990 to 2019: a systematic analysis of GBD 2019” – 18 citations, 2022
  • 👪 “Construct, Convergent, and Discriminant Validity of the Beach Center Family Quality of Life Scale for Singapore” – 17 citations, 2019
  • 🧩 “Teaching a child with autism to request breaks while concurrently increasing task engagement” – 15 citations, 2015
  • 🧑‍🏫 “Evaluating acquisition, preference, and discrimination in requesting skills between picture exchange and iPad®-based speech generating device across preschoolers” – 10 citations, 2021
  • 🧩 “Supporting individuals with autism spectrum disorder in Singapore” – 8 citations, 2022