Guangyu Wang

5.5k total citations · 1 hit paper
183 papers, 4.0k citations indexed

About

Guangyu Wang is a scholar working on Global and Planetary Change, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Guangyu Wang has authored 183 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Global and Planetary Change, 37 papers in Ecology and 32 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Guangyu Wang's work include Fire effects on ecosystems (39 papers), Land Use and Ecosystem Services (26 papers) and Conservation, Biodiversity, and Resource Management (26 papers). Guangyu Wang is often cited by papers focused on Fire effects on ecosystems (39 papers), Land Use and Ecosystem Services (26 papers) and Conservation, Biodiversity, and Resource Management (26 papers). Guangyu Wang collaborates with scholars based in Canada, China and United States. Guangyu Wang's co-authors include John L. Innes, Futao Guo, Wanli Wu, Dehui Christina Geng, Tongli Wang, Zhangwen Su, Baozhang Chen, Sara Wu, Shirong Liu and Aiqin Liu and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Guangyu Wang

165 papers receiving 3.9k citations

Hit Papers

Impacts of COVID-19 pandemic on urban park visitation: a ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guangyu Wang Canada 32 2.1k 980 619 581 537 183 4.0k
Wu Yang China 31 3.0k 1.4× 1.1k 1.1× 444 0.7× 427 0.7× 422 0.8× 115 5.0k
Cécile Girardin United Kingdom 25 2.7k 1.3× 1.0k 1.0× 363 0.6× 1.1k 1.9× 425 0.8× 33 4.4k
Chi Xu China 30 1.7k 0.8× 1.0k 1.0× 507 0.8× 602 1.0× 488 0.9× 147 3.9k
Alex M. Lechner Malaysia 39 1.8k 0.9× 1.7k 1.8× 421 0.7× 404 0.7× 634 1.2× 159 4.6k
Juha M. Alatalo Qatar 38 2.1k 1.0× 1.2k 1.2× 499 0.8× 754 1.3× 208 0.4× 149 4.9k
Fei Lu China 28 2.2k 1.0× 1.1k 1.1× 410 0.7× 379 0.7× 532 1.0× 67 4.0k
Catharina J.E. Schulp Netherlands 38 3.8k 1.8× 1.1k 1.1× 755 1.2× 621 1.1× 383 0.7× 71 5.3k
Erik Nelson United States 28 4.7k 2.2× 1.4k 1.4× 627 1.0× 795 1.4× 577 1.1× 46 8.2k
Ariana E. Sutton‐Grier United States 31 1.9k 0.9× 2.4k 2.5× 631 1.0× 902 1.6× 234 0.4× 55 5.2k
Shiliang Liu China 49 2.9k 1.4× 2.5k 2.6× 665 1.1× 810 1.4× 611 1.1× 234 6.9k

Countries citing papers authored by Guangyu Wang

Since Specialization
Citations

This map shows the geographic impact of Guangyu Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guangyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyu Wang more than expected).

Fields of papers citing papers by Guangyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guangyu Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guangyu Wang. The network helps show where Guangyu Wang may publish in the future.

Co-authorship network of co-authors of Guangyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyu Wang. A scholar is included among the top collaborators of Guangyu Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangyu Wang. Guangyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cai, Yue, Chong Li, Guangyu Wang, et al.. (2025). Quantifying the impact of single-tree morphological characteristics on the vertical gradient cooling effect and human thermal comfort during summer. Urban forestry & urban greening. 107. 128789–128789. 2 indexed citations
2.
Wang, Guangyu, Lin Xu, Chong Li, et al.. (2025). Bamboo forests in Anji, China: An emerging nature-based solution to tackle climate change. SHILAP Revista de lepidopterología. 10. 100126–100126. 4 indexed citations
3.
Mardle, Peter, et al.. (2025). Edge-Type Reference Electrode Application for AEM-WE Durability Testing. Journal of The Electrochemical Society. 172(4). 44510–44510.
4.
Xu, Wenhuan, Anil Shrestha, Guangyu Wang, & Tongli Wang. (2024). Site-based climate-smart tree species selection for forestation under climate change. 1(2). 100019–100019. 5 indexed citations
5.
Wang, Guangyu, et al.. (2024). County land use carbon emission and scenario prediction in Mianyang Science and Technology City New District, Sichuan Province, China. Scientific Reports. 14(1). 9310–9310. 4 indexed citations
6.
Wang, Guangyu, Zhengcai Li, Chong Li, et al.. (2024). Greenhouse gas emissions and carbon and water footprints during processing of Lei bamboo shoots. Journal of Cleaner Production. 469. 143110–143110. 6 indexed citations
7.
He, Mei, et al.. (2024). The Impacts of Forest Therapy on the Physical and Mental Health of College Students: A Review. Forests. 15(4). 682–682. 5 indexed citations
8.
Geng, Dehui Christina, et al.. (2024). Exploring impacts of COVID-19 on spatial and temporal patterns of visitors to Canadian Rocky Mountain National Parks from social media big data. Journal of Forestry Research. 35(1). 3 indexed citations
9.
Li, Xiaoyu, Fei Zhang, Yizhou Jiang, et al.. (2024). Junction Temperature Extraction for Silicon Carbide Power Devices: A Comprehensive Review. IEEE Transactions on Power Electronics. 40(2). 3090–3111. 4 indexed citations
11.
Wang, Ziyue, Anil Shrestha, Xiang Zhou, et al.. (2023). Exploring the Main Determinants of National Park Community Management: Evidence from Bibliometric Analysis. Forests. 14(9). 1850–1850. 6 indexed citations
12.
Wang, Guangyu, et al.. (2023). Grassland Resilience to Woody Encroachment in North America and the Effectiveness of Using Fire in National Parks. Climate. 11(11). 219–219. 3 indexed citations
13.
Yang, Song, et al.. (2023). Investigating Drought Events and Their Consequences in Wildfires: An Application in China. Fire. 6(6). 223–223. 11 indexed citations
14.
Zhang, Xiaomian, et al.. (2022). Analysis of Amino Acids in the Roots of Tamarix ramosissima by Application of Exogenous Potassium (K+) under NaCl Stress. International Journal of Molecular Sciences. 23(16). 9331–9331. 9 indexed citations
15.
Qiu, Quan, et al.. (2022). Forestry Big Data: A Review and Bibliometric Analysis. Forests. 13(10). 1549–1549. 17 indexed citations
16.
Wang, Guangyu, et al.. (2022). Effects of Exogenous (K+) Potassium Application on Plant Hormones in the Roots of Tamarix ramosissima under NaCl Stress. Genes. 13(10). 1803–1803. 7 indexed citations
17.
18.
Li, Ching‐Feng, et al.. (2020). Climate‐based approach for modeling the distribution of montane forest vegetation in Taiwan. Applied Vegetation Science. 23(2). 239–253. 10 indexed citations
19.
Hu, Jer‐Ming, et al.. (2018). A dynamic downscaling approach to generate scale-free regional climate data in Taiwan. SHILAP Revista de lepidopterología. 12 indexed citations
20.
Guo, Futao, et al.. (2015). [Prediction model of human-caused fire occurrence in the boreal forest of northern China].. PubMed. 26(7). 2099–106. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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