Qiuyan Yu

1.3k total citations
40 papers, 924 citations indexed

About

Qiuyan Yu is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Qiuyan Yu has authored 40 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 11 papers in Ecology and 10 papers in Environmental Engineering. Recurrent topics in Qiuyan Yu's work include Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (5 papers) and Land Use and Ecosystem Services (5 papers). Qiuyan Yu is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (5 papers) and Land Use and Ecosystem Services (5 papers). Qiuyan Yu collaborates with scholars based in United States, China and United Kingdom. Qiuyan Yu's co-authors include J. Anchang, Anzhou Zhao, Anbing Zhang, Michael Acheampong, Ruiliang Pu, Tao Pei, Shawn Landry, Lili Feng, Wenjie Ji and Niall P. Hanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Climate Change.

In The Last Decade

Qiuyan Yu

38 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiuyan Yu United States 17 502 305 280 138 135 40 924
Wenpeng Lin China 14 637 1.3× 473 1.6× 258 0.9× 128 0.9× 147 1.1× 47 973
Haowei Mu China 14 617 1.2× 344 1.1× 250 0.9× 184 1.3× 157 1.2× 30 1000
Qing Ying China 12 664 1.3× 386 1.3× 208 0.7× 68 0.5× 219 1.6× 20 954
Luca Congedo Italy 16 574 1.1× 251 0.8× 457 1.6× 261 1.9× 164 1.2× 29 1.0k
Faisal Mueen Qamer Nepal 19 792 1.6× 590 1.9× 273 1.0× 95 0.7× 193 1.4× 34 1.4k
Huan Yu China 18 341 0.7× 318 1.0× 139 0.5× 69 0.5× 175 1.3× 58 869
Sushila Rijal Nepal 14 826 1.6× 279 0.9× 153 0.5× 159 1.2× 171 1.3× 21 1.0k
Aleksi Räsänen Finland 20 524 1.0× 513 1.7× 253 0.9× 111 0.8× 315 2.3× 69 1.3k
G.W. Hazeu Netherlands 12 564 1.1× 330 1.1× 136 0.5× 58 0.4× 91 0.7× 51 874

Countries citing papers authored by Qiuyan Yu

Since Specialization
Citations

This map shows the geographic impact of Qiuyan Yu'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 Qiuyan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuyan Yu more than expected).

Fields of papers citing papers by Qiuyan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiuyan Yu. 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 Qiuyan Yu. The network helps show where Qiuyan Yu may publish in the future.

Co-authorship network of co-authors of Qiuyan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiuyan Yu. A scholar is included among the top collaborators of Qiuyan Yu 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 Qiuyan Yu. Qiuyan Yu 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.
Hanan, Niall P., et al.. (2025). Enhancing GEDI above ground biomass density estimates in contrasting forests of Pakistan. Forest Ecology and Management. 587. 122747–122747.
2.
3.
Downs, Joni, et al.. (2025). Urban Expansion and the Loss of Agricultural Lands and Forest Cover in Limbe, Cameroon. Remote Sensing. 17(15). 2631–2631.
4.
Yu, Qiuyan, Michael G. Ryan, Wenjie Ji, et al.. (2024). Assessing canopy height measurements from ICESat-2 and GEDI orbiting LiDAR across six different biomes with G-LiHT LiDAR. SHILAP Revista de lepidopterología. 3(2). 25001–25001. 10 indexed citations
5.
Yu, Qiuyan, Joseph E. Blais, Eric Yuk Fai Wan, et al.. (2024). Development and validation of risk prediction model for recurrent cardiovascular events among Chinese: the Personalized CARdiovascular DIsease risk Assessment for Chinese model. European Heart Journal - Digital Health. 5(3). 363–370. 3 indexed citations
6.
Yu, Qiuyan, Min Fan, David Tak Wai Lui, et al.. (2024). Risk factors for long-term cardiovascular post-acute sequelae of COVID-19 infection: A nested case-control study in Hong Kong. PubMed. 1(1). 1 indexed citations
7.
Muntyanu, Anastasiya, Mohammed Kaouache, Wayne Gulliver, et al.. (2024). Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada. American Journal of Clinical Dermatology. 25(3). 497–508. 4 indexed citations
8.
Zhu, Yan, et al.. (2024). The regulation of light quality on the substance production and photosynthetic activity of Dunaliella bardawil. Journal of Photochemistry and Photobiology B Biology. 252. 112872–112872. 6 indexed citations
9.
Li, Huixuan, Cuizhen Wang, Qiuyan Yu, & Eric E. Smith. (2022). Spatiotemporal assessment of potential drivers of salt marsh dieback in the North Inlet-Winyah Bay estuary, South Carolina (1990–2019). Journal of Environmental Management. 313. 114907–114907. 8 indexed citations
10.
Zhang, Yi, et al.. (2022). Regulation of light quality on lipid production, biodiesel quality, and nutritional quality of Phaeodactylum tricornutum. Aquaculture International. 31(3). 1231–1251. 11 indexed citations
11.
Yu, Qiuyan, Wenjie Ji, Lara Prihodko, et al.. (2021). Study becomes insight: Ecological learning from machine learning. Methods in Ecology and Evolution. 12(11). 2117–2128. 45 indexed citations
12.
Zhao, Anzhou, Qiuyan Yu, Dongli Wang, & Anbing Zhang. (2021). Spatiotemporal dynamics of ecosystem water use efficiency over the Chinese Loess Plateau base on long-time satellite data. Environmental Science and Pollution Research. 29(2). 2298–2310. 9 indexed citations
13.
Ross, C. Wade, Niall P. Hanan, Lara Prihodko, et al.. (2021). Woody-biomass projections and drivers of change in sub-Saharan Africa. Nature Climate Change. 11(5). 449–455. 30 indexed citations
14.
Zhao, Anzhou, et al.. (2021). Spatial heterogeneity of changes in cropland ecosystem water use efficiency and responses to drought in China. Environmental Science and Pollution Research. 29(10). 14806–14818. 3 indexed citations
15.
Sun, Zhe, et al.. (2020). Nation-Scale Mapping of Coastal Aquaculture Ponds with Sentinel-1 SAR Data Using Google Earth Engine. Remote Sensing. 12(18). 3086–3086. 60 indexed citations
16.
Acheampong, Michael, et al.. (2019). Priority setting towards achieving under-five mortality target in Africa in context of sustainable development goals: an ordinary least squares (OLS) analysis. Global Health Research and Policy. 4(1). 3–3. 16 indexed citations
17.
Yu, Qiuyan, et al.. (2019). Discovery of novel natural compound inhibitors targeting estrogen receptor α by an integrated virtual screening strategy. Journal of Molecular Modeling. 25(9). 278–278. 16 indexed citations
18.
Yang, Juan, Huifang Xu, Shuo Li, et al.. (2019). The characteristics of mixing patterns of sexual dyads and factors correlated with condomless anal intercourse among men who have sex with men in Guangzhou, China. BMC Public Health. 19(1). 722–722. 6 indexed citations
19.
20.
Epstein, Howard E., D. A. Walker, M. K. Raynolds, et al.. (2009). Vegetation biomass, leaf area index, and NDVI patterns and relationships along two latitudinal transects in arctic tundra. AGU Fall Meeting Abstracts. 2009. 3 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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