Yunjun Yao

7.5k total citations · 1 hit paper
175 papers, 5.5k citations indexed

About

Yunjun Yao is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Yunjun Yao has authored 175 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Global and Planetary Change, 77 papers in Atmospheric Science and 67 papers in Environmental Engineering. Recurrent topics in Yunjun Yao's work include Plant Water Relations and Carbon Dynamics (69 papers), Climate variability and models (63 papers) and Remote Sensing in Agriculture (58 papers). Yunjun Yao is often cited by papers focused on Plant Water Relations and Carbon Dynamics (69 papers), Climate variability and models (63 papers) and Remote Sensing in Agriculture (58 papers). Yunjun Yao collaborates with scholars based in China, United States and Netherlands. Yunjun Yao's co-authors include Kun Jia, Shunlin Liang, Xiaotong Zhang, Xiangqin Wei, Bo Jiang, Jie Cheng, Xiang Zhao, Xianhong Xie, Zhiqiang Xiao and Shaohua Zhao and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Yunjun Yao

162 papers receiving 5.4k citations

Hit Papers

The Global Land Surface Satellite (GLASS) Product Suite 2020 2026 2022 2024 2020 100 200 300
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. The Global Land Surface Satellite (GLASS) Product Suite
    2020 366 citations Shunlin Liang, Jie Cheng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunjun Yao China 40 3.8k 1.9k 1.8k 1.8k 1.1k 175 5.5k
Mingguo Ma China 44 4.1k 1.1× 2.3k 1.2× 2.0k 1.1× 2.0k 1.1× 1.1k 0.9× 202 6.4k
Thomas G. Van Niel Australia 28 2.8k 0.7× 1.3k 0.7× 1.1k 0.6× 1.2k 0.7× 1.5k 1.3× 58 4.5k
Gyanesh Chander United States 25 2.6k 0.7× 2.0k 1.1× 1.9k 1.0× 1.8k 1.0× 436 0.4× 79 5.4k
Qing Xiao China 33 1.8k 0.5× 1.5k 0.8× 2.0k 1.1× 1.4k 0.8× 366 0.3× 161 4.1k
Stuart K. McFeeters United States 5 3.5k 0.9× 2.1k 1.1× 1.8k 1.0× 1.3k 0.7× 1.3k 1.1× 6 5.6k
Shaomin Liu China 45 5.9k 1.5× 1.2k 0.6× 3.1k 1.7× 3.0k 1.7× 2.3k 2.0× 211 8.2k
Bo‐Hui Tang China 30 2.9k 0.8× 1.0k 0.6× 4.5k 2.4× 3.2k 1.7× 489 0.4× 202 6.4k
Catherine Ottlé France 36 3.0k 0.8× 885 0.5× 2.7k 1.5× 1.8k 1.0× 999 0.9× 111 5.1k
Yaozhong Pan China 34 3.3k 0.9× 2.3k 1.2× 964 0.5× 1.0k 0.6× 613 0.5× 128 4.8k
Meisam Amani Iran 32 2.1k 0.5× 1.9k 1.0× 1.4k 0.8× 878 0.5× 421 0.4× 98 4.1k

Countries citing papers authored by Yunjun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yunjun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunjun Yao. A scholar is included among the top collaborators of Yunjun Yao 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 Yunjun Yao. Yunjun Yao 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.
Shao, Huaiyong, Yunjun Yao, Yufu Li, et al.. (2025). Evaluation of two strategies from the SEBS model for estimating the daily terrestrial evapotranspiration values of the Tibetan Plateau. Journal of Hydrology. 656. 132921–132921.
2.
Fan, Jiahui, Yunjun Yao, Yajie Li, et al.. (2025). Detecting Burned Vegetation Areas by Merging Spectral and Texture Features in a ResNet Deep Learning Architecture. Remote Sensing. 17(22). 3665–3665.
3.
Guo, Xiaozheng, Yunjun Yao, Shunlin Liang, et al.. (2024). Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm. Agricultural and Forest Meteorology. 349. 109962–109962. 2 indexed citations
4.
Fan, Jiahui, Yunjun Yao, Xueyi Zhang, et al.. (2024). A Hybrid Index for Monitoring Burned Vegetation by Combining Image Texture Features with Vegetation Indices. Remote Sensing. 16(9). 1539–1539. 7 indexed citations
5.
Tang, Ronglin, Zhong Peng, Meng Liu, et al.. (2024). Spatial-temporal patterns of land surface evapotranspiration from global products. Remote Sensing of Environment. 304. 114066–114066. 27 indexed citations
6.
Di, Zhenhua, et al.. (2024). Evaluation and simulation of terrestrial latent heat flux globally: A collaborative effort utilizing CMIP6 climate models and eddy covariance observations. Agricultural and Forest Meteorology. 362. 110371–110371. 4 indexed citations
7.
Mei, Li, et al.. (2024). Variations in water conservation function and attributions in the Three-River Source Region of the Qinghai–Tibet Plateau based on the SWAT model. Agricultural and Forest Meteorology. 349. 109956–109956. 13 indexed citations
8.
Ning, Jing, Yunjun Yao, Joshua B. Fisher, et al.. (2023). Soil moisture at 30 m from multiple satellite datasets fused by random forest. Journal of Hydrology. 625. 130010–130010. 20 indexed citations
9.
Yu, Ruiyang, Yunjun Yao, Changliang Shao, et al.. (2023). Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production. Agricultural and Forest Meteorology. 341. 109634–109634. 12 indexed citations
10.
Liang, Hui, Bo Jiang, Shunlin Liang, et al.. (2022). A global long-term ocean surface daily/0.05° net radiation product from 1983–2020. Scientific Data. 9(1). 6 indexed citations
11.
Li, Shaopeng, Bo Jiang, Hui Liang, et al.. (2021). Estimation of the All-Wave All-Sky Land Surface Daily Net Radiation at Mid-Low Latitudes from MODIS Data Based on ERA5 Constraints. Remote Sensing. 14(1). 33–33. 9 indexed citations
12.
Zhang, Xiaotong, Weiyu Zhang, Jiawen Xu, et al.. (2020). Estimating Surface Downward Longwave Radiation Using Machine Learning Methods. Atmosphere. 11(11). 1147–1147. 15 indexed citations
13.
Zhang, Xiaotong, Weiyu Zhang, Kun Jia, et al.. (2020). Estimation of Surface Downward Shortwave Radiation over China from Himawari-8 AHI Data Based on Random Forest. Remote Sensing. 12(1). 181–181. 33 indexed citations
14.
Zhang, Xiaotong, Weiyu Zhang, Jiawen Xu, et al.. (2020). A New Long-Term Downward Surface Solar Radiation Dataset over China from 1958 to 2015. Sensors. 20(21). 6167–6167. 14 indexed citations
15.
Deng, Lijun, Yi Lin, Lei Yan, et al.. (2019). Urban plant phenology monitoring: Expanding the functions of widespread surveillance cameras to nature rhythm understanding. Remote Sensing Applications Society and Environment. 15. 100232–100232. 7 indexed citations
16.
Zhang, Xiaotong, Xiang Zhao, Wenhong Li, et al.. (2019). An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product From MODIS Data. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4636–4650. 58 indexed citations
17.
Tang, Ronglin, et al.. (2018). Global Land Surface Evapotranspiration Estimation From Meteorological and Satellite Data Using the Support Vector Machine and Semiempirical Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(2). 513–521. 20 indexed citations
18.
Ma, Yingzhao, Yang Hong, Yang Chen, et al.. (2017). Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau. Journal of Geophysical Research Atmospheres. 123(2). 814–834. 129 indexed citations
19.
20.
Jia, Kun, et al.. (2013). A Review on Fractional Vegetation Cover Estimation Using Remote Sensing. Diqiu kexue jinzhan. 28(7). 774–782. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mingguo Ma Breakdown of academic impact, for papers by Thomas G. Van Niel Breakdown of academic impact, for papers by Gyanesh Chander Breakdown of academic impact, for papers by Qing Xiao Breakdown of academic impact, for papers by Stuart K. McFeeters Breakdown of academic impact, for papers by Shaomin Liu Breakdown of academic impact, for papers by Bo‐Hui Tang Breakdown of academic impact, for papers by Catherine Ottlé Breakdown of academic impact, for papers by Yaozhong Pan Breakdown of academic impact, for papers by Meisam Amani
Rankless by CCL
2026