Yu Ren

2.0k total citations · 1 hit paper
62 papers, 1.4k citations indexed

About

Yu Ren is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Yu Ren has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 18 papers in Ecology and 18 papers in Atmospheric Science. Recurrent topics in Yu Ren's work include Remote Sensing in Agriculture (18 papers), Climate variability and models (17 papers) and Remote Sensing and LiDAR Applications (11 papers). Yu Ren is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Climate variability and models (17 papers) and Remote Sensing and LiDAR Applications (11 papers). Yu Ren collaborates with scholars based in China, United States and Australia. Yu Ren's co-authors include Wenjiang Huang, Huichun Ye, Yingying Dong, Anting Guo, Jianping Huang, Huiqin Ma, Zheng Du, Haipeng Yu, Zhi‐Yong Yin and Xueqin Zhang and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Yu Ren

57 papers receiving 1.3k citations

Hit Papers

Carbon storage through China’s planted forest expansion 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Ren China 21 520 447 399 311 185 62 1.4k
Bappa Das India 25 402 0.8× 459 1.0× 733 1.8× 150 0.5× 372 2.0× 114 1.9k
Aimrun Wayayok Malaysia 22 401 0.8× 360 0.8× 689 1.7× 121 0.4× 448 2.4× 145 1.8k
Pengyu Hao China 26 584 1.1× 975 2.2× 372 0.9× 384 1.2× 386 2.1× 55 1.8k
Yumiao Wang China 16 786 1.5× 354 0.8× 285 0.7× 343 1.1× 225 1.2× 49 1.6k
Liang Sun China 25 1.0k 2.0× 740 1.7× 416 1.0× 435 1.4× 683 3.7× 108 2.1k
Wei Guo China 27 670 1.3× 886 2.0× 630 1.6× 368 1.2× 385 2.1× 125 2.1k
Jong‐Min Yeom South Korea 21 429 0.8× 517 1.2× 218 0.5× 286 0.9× 300 1.6× 77 1.0k
I. Yu. Savin Russia 17 306 0.6× 501 1.1× 309 0.8× 143 0.5× 408 2.2× 171 1.4k
José Fernando Ortega Álvarez Spain 27 433 0.8× 579 1.3× 812 2.0× 72 0.2× 425 2.3× 87 2.1k

Countries citing papers authored by Yu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ren. A scholar is included among the top collaborators of Yu Ren 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 Yu Ren. Yu Ren 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.
Dong, Yuwei, Mingyu Wu, Yu Ren, Zhou Yu, & Zhao Zhen. (2025). Big pyridyl Schiff base π-conjugated skeleton based cobalt/iron metal complexes: bimetallic electrocatalysts for the oxygen evolution reaction. Journal of Materials Chemistry C. 13(8). 4170–4179.
2.
Chen, Ang, Kai Cheng, Yuling Chen, et al.. (2025). Validating recent global canopy height maps over China's forests based on UAV lidar data. Remote Sensing of Environment. 329. 114957–114957. 1 indexed citations
3.
Zhang, Yixuan, Haitao Yang, Yu Ren, et al.. (2025). China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests. Communications Earth & Environment. 6(1). 4 indexed citations
4.
Yang, Haitao, Shengli Tao, Yanjun Su, et al.. (2024). Carbon storage through China’s planted forest expansion. Nature Communications. 15(1). 4106–4106. 63 indexed citations breakdown →
5.
Luo, Hongyu, Haipeng Yu, Zeyong Hu, et al.. (2024). Impact of the Summer Atmospheric Heat Source over the Tibetan Plateau on Interannual Variability of Meridional Circulation on the North Side of the Tibetan Plateau. Journal of Climate. 37(13). 3543–3561. 3 indexed citations
6.
Su, Yanjun, Wenkai Li, Hongcan Guan, et al.. (2023). Segmenting Individual Trees From Terrestrial LiDAR Data Using Tree Branch Directivity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 956–969. 9 indexed citations
7.
Liu, Xiaoping, Xiaocong Xu, Qian Shi, et al.. (2023). Future Increase in Aridity Drives Abrupt Biodiversity Loss Among Terrestrial Vertebrate Species. Earth s Future. 11(4). 8 indexed citations
8.
Wang, Shanshan, et al.. (2023). The Precipitation‐Recycling Process Enhanced Extreme Precipitation in Xinjiang, China. Geophysical Research Letters. 50(15). 47 indexed citations
10.
Wang, Shanshan, et al.. (2022). Contribution of the Precipitation‐Recycling Process to the Wetting Trend in Xinjiang, China. Journal of Geophysical Research Atmospheres. 127(11). 20 indexed citations
11.
Ruan, Chao, Yingying Dong, Wenjiang Huang, et al.. (2021). Prediction of Wheat Stripe Rust Occurrence with Time Series Sentinel-2 Images. Agriculture. 11(11). 1079–1079. 21 indexed citations
12.
Huang, Wenjiang, et al.. (2021). Using Multi-Angular Hyperspectral Data to Estimate the Vertical Distribution of Leaf Chlorophyll Content in Wheat. Remote Sensing. 13(8). 1501–1501. 24 indexed citations
13.
Ye, Huichun, et al.. (2021). Monitoring the Vertical Distribution of Maize Canopy Chlorophyll Content Based on Multi-Angular Spectral Data. Remote Sensing. 13(5). 987–987. 12 indexed citations
14.
Guo, Anting, Wenjiang Huang, Yingying Dong, et al.. (2021). Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology. Remote Sensing. 13(1). 123–123. 133 indexed citations
15.
Huang, Wenjiang, et al.. (2021). Joint Retrieval of Winter Wheat Leaf Area Index and Canopy Chlorophyll Density Using Hyperspectral Vegetation Indices. Remote Sensing. 13(16). 3175–3175. 9 indexed citations
16.
He, Yongli, Jianping Huang, Yu Ren, et al.. (2021). The Mechanism of Increasing Summer Water Vapor Over the Tibetan Plateau. Journal of Geophysical Research Atmospheres. 126(10). 42 indexed citations
17.
Huang, Yanru, Yingying Dong, Wenjiang Huang, et al.. (2020). Overwintering Distribution of Fall Armyworm (Spodoptera frugiperda) in Yunnan, China, and Influencing Environmental Factors. Insects. 11(11). 805–805. 35 indexed citations
18.
Guo, Anting, Wenjiang Huang, Huichun Ye, et al.. (2020). Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images. Remote Sensing. 12(9). 1419–1419. 93 indexed citations
19.
Ren, Yu, Yanhua Meng, Wenjiang Huang, et al.. (2020). Novel Vegetation Indices for Cotton Boll Opening Status Estimation Using Sentinel-2 Data. Remote Sensing. 12(11). 1712–1712. 6 indexed citations
20.
Ye, Huichun, Wenjiang Huang, Shanyu Huang, et al.. (2020). Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing. Remote Sensing. 12(6). 938–938. 97 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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