Yuchao Yan

749 total citations · 1 hit paper
24 papers, 583 citations indexed

About

Yuchao Yan is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Yuchao Yan has authored 24 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 8 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Yuchao Yan's work include Land Use and Ecosystem Services (12 papers), Remote Sensing in Agriculture (7 papers) and Urban Green Space and Health (2 papers). Yuchao Yan is often cited by papers focused on Land Use and Ecosystem Services (12 papers), Remote Sensing in Agriculture (7 papers) and Urban Green Space and Health (2 papers). Yuchao Yan collaborates with scholars based in China, United States and France. Yuchao Yan's co-authors include Youyue Wen, Xiaoping Liu, Jinpei Ou, Changjiang Wu, Xia Li, Jing Xu, Weidong Guo, Xun Liang, Fei‐Yue Wang and Fengsong Pei and has published in prestigious journals such as The Science of The Total Environment, Journal of Environmental Management and International Journal of Remote Sensing.

In The Last Decade

Yuchao Yan

20 papers receiving 571 citations

Hit Papers

Climate-induced tree-mortality pulses are obscured by bro... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Climate-induced tree-mortality pulses are obscured by broad-scale and long-term greening
    2024 58 citations Yuchao Yan, Shilong Piao et al. Nature Ecology & Evolution profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchao Yan China 13 337 187 136 105 79 24 583
Yunqing Jing China 4 299 0.9× 150 0.8× 71 0.5× 56 0.5× 78 1.0× 6 438
Yu Shi China 14 375 1.1× 96 0.5× 119 0.9× 148 1.4× 146 1.8× 44 621
Danyang Wang China 14 110 0.3× 208 1.1× 133 1.0× 79 0.8× 97 1.2× 35 598
S. Vinay India 12 247 0.7× 113 0.6× 79 0.6× 77 0.7× 134 1.7× 33 572
Meixia Lin China 14 239 0.7× 90 0.5× 284 2.1× 241 2.3× 45 0.6× 37 600
Byungman Yoon United States 10 332 1.0× 167 0.9× 191 1.4× 199 1.9× 57 0.7× 19 681
Fangfang Zhu China 10 365 1.1× 118 0.6× 310 2.3× 74 0.7× 103 1.3× 27 712
Haoran Yu China 12 251 0.7× 157 0.8× 103 0.8× 77 0.7× 32 0.4× 32 564
Meng Xing China 17 326 1.0× 159 0.9× 172 1.3× 150 1.4× 178 2.3× 43 793

Countries citing papers authored by Yuchao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuchao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchao Yan. A scholar is included among the top collaborators of Yuchao Yan 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 Yuchao Yan. Yuchao Yan 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.
Yan, Yuchao, Songbai Hong, Anping Chen, et al.. (2025). Satellite-based evidence of recent decline in global forest recovery rate from tree mortality events. Nature Plants. 11(4). 731–742. 3 indexed citations
2.
Wang, Huan, Yuchao Yan, Delong Li, et al.. (2025). Terrestrial ecosystems are in transition. Frontiers in Remote Sensing. 6.
3.
Jin, Weizhong, Junbo Ge, Yuchao Yan, et al.. (2025). CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 39(2). 2141–2149.
4.
Lü, Yuting, et al.. (2024). A Comprehensive Survey of Datasets for Large Language Model Evaluation. 33. 330–336. 1 indexed citations
5.
Yan, Yuchao, Shilong Piao, William M. Hammond, et al.. (2024). Climate-induced tree-mortality pulses are obscured by broad-scale and long-term greening. Nature Ecology & Evolution. 8(5). 912–923. 58 indexed citations breakdown →
6.
Liu, Xiaoping, Bingjie Li, Changjiang Wu, et al.. (2024). Mapping high-resolution global gridded population distribution from 1870 to 2100. The Science of The Total Environment. 955. 176867–176867. 1 indexed citations
7.
Wang, Shuanjin, Xiangjie Chen, Rui Xie, et al.. (2024). Demand-side insights for steering human appropriation of net primary productivity within planetary boundaries. One Earth. 7(4). 650–662. 22 indexed citations
8.
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Liu, Xiaoping, Yuchao Yan, Dachuan Zhang, et al.. (2022). Integrating a deep forest algorithm with vector‐based cellular automata for urban land change simulation. Transactions in GIS. 26(4). 2056–2080. 16 indexed citations
11.
Chen, Guangzhao, et al.. (2022). Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways. GIScience & Remote Sensing. 59(1). 1301–1320. 25 indexed citations
12.
Liu, Xiaoping, et al.. (2021). Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning. Remote Sensing. 13(17). 3533–3533. 18 indexed citations
13.
Liu, Xiaojuan, et al.. (2021). Effect of economic growth on environmental quality: Evidence from tropical countries with different income levels. The Science of The Total Environment. 774. 145180–145180. 15 indexed citations
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15.
Yan, Yuchao, et al.. (2020). Quantification of the Relationship Among Cropland Area, Cropland Management Measures, and Cropland Productivity Using Panel Data Model. International Journal of Plant Production. 14(4). 689–702. 3 indexed citations
16.
Wen, Youyue, Xiaoping Liu, Yang Bai, et al.. (2019). Determining the impacts of climate change and urban expansion on terrestrial net primary production in China. Journal of Environmental Management. 240. 75–83. 61 indexed citations
17.
Yan, Yuchao, et al.. (2018). Assimilating multi-source remotely sensed data into a light use efficiency model for net primary productivity estimation. International Journal of Applied Earth Observation and Geoinformation. 72. 11–25. 33 indexed citations
18.
Yan, Yuchao, Xiaoping Liu, Fei‐Yue Wang, et al.. (2017). Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data. The Science of The Total Environment. 613-614. 1417–1429. 85 indexed citations
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Guo, Weidong, et al.. (2010). Characterization of dissolved organic matter in urban sewage using excitation emission matrix fluorescence spectroscopy and parallel factor analysis. Journal of Environmental Sciences. 22(11). 1728–1734. 118 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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