Junming Yang

854 total citations
23 papers, 591 citations indexed

About

Junming Yang is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Junming Yang has authored 23 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 11 papers in Environmental Engineering and 8 papers in Atmospheric Science. Recurrent topics in Junming Yang's work include Plant Water Relations and Carbon Dynamics (16 papers), Climate variability and models (11 papers) and Urban Heat Island Mitigation (9 papers). Junming Yang is often cited by papers focused on Plant Water Relations and Carbon Dynamics (16 papers), Climate variability and models (11 papers) and Urban Heat Island Mitigation (9 papers). Junming Yang collaborates with scholars based in China, United States and Netherlands. Junming Yang's co-authors include Yunjun Yao, Ke Shang, Xiaozheng Guo, Kun Jia, Xiaotong Zhang, Ruiyang Yu, L. Wang, Yongjiu Dai, Menghu Zhou and Qizhong Wu and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

Junming Yang

23 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junming Yang China 13 447 250 135 122 88 23 591
Irfan Ullah China 13 539 1.2× 200 0.8× 146 1.1× 111 0.9× 68 0.8× 29 735
C. Toté Belgium 10 375 0.8× 287 1.1× 95 0.7× 111 0.9× 162 1.8× 21 572
Françoise Gellens-Meulenberghs Belgium 10 396 0.9× 194 0.8× 122 0.9× 254 2.1× 93 1.1× 28 557
Chun‐Ho Cho South Korea 14 551 1.2× 371 1.5× 91 0.7× 102 0.8× 43 0.5× 72 747
Nicolas Ghilain Belgium 10 378 0.8× 191 0.8× 115 0.9× 251 2.1× 84 1.0× 23 529
Gregory Halverson United States 10 273 0.6× 154 0.6× 127 0.9× 208 1.7× 46 0.5× 15 426
Eunna Jang South Korea 9 416 0.9× 149 0.6× 80 0.6× 173 1.4× 121 1.4× 15 642
B. Shifteh Some’e Iran 11 811 1.8× 246 1.0× 282 2.1× 149 1.2× 78 0.9× 11 962
Augusto José Pereira Filho Brazil 14 372 0.8× 350 1.4× 122 0.9× 233 1.9× 37 0.4× 76 636

Countries citing papers authored by Junming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Junming Yang. A scholar is included among the top collaborators of Junming Yang 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 Junming Yang. Junming Yang 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.
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
2.
Yao, Yunjun, Joshua B. Fisher, Jiquan Chen, et al.. (2024). Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products. Journal of Hydrology. 630. 130649–130649. 22 indexed citations
3.
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
4.
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
5.
Shang, Ke, Yunjun Yao, Zhenhua Di, et al.. (2023). Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau. Remote Sensing of Environment. 289. 113519–113519. 53 indexed citations
6.
Yang, Junming, Yunjun Yao, Yufu Li, et al.. (2023). Using Partial Cloud-Free Images to Improve Spatiotemporal Fusion for Terrestrial Latent Heat Flux: The Multiphase Self-Adaptive (MSA) Model. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 2 indexed citations
7.
Yang, Junming, Yunjun Yao, Changliang Shao, et al.. (2022). A novel TIR-derived three-source energy balance model for estimating daily latent heat flux in mainland China using an all-weather land surface temperature product. Agricultural and Forest Meteorology. 323. 109066–109066. 20 indexed citations
8.
Yao, Yunjun, Xiaotong Zhang, Shunlin Liang, et al.. (2022). The Global LAnd Surface Satellite (GLASS) evapotranspiration product Version 5.0: Algorithm development and preliminary validation. Journal of Hydrology. 610. 127990–127990. 21 indexed citations
10.
Wang, Lu, Yuhu Zhang, Yunjun Yao, et al.. (2021). GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets. Remote Sensing. 13(6). 1054–1054. 29 indexed citations
11.
Li, Yufu, Yunjun Yao, Haixia Cheng, et al.. (2021). Evaluation of Six Satellite-Based Terrestrial Latent Heat Flux Products in the Vegetation Dominated Haihe River Basin of North China. Forests. 12(12). 1632–1632. 2 indexed citations
12.
Shang, Ke, Yunjun Yao, Shunlin Liang, et al.. (2021). DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information. Agricultural and Forest Meteorology. 308-309. 108582–108582. 38 indexed citations
13.
Zhang, Lilin, Yunjun Yao, Yufu Li, et al.. (2021). ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation. Remote Sensing. 13(18). 3703–3703. 6 indexed citations
14.
Yu, Ruiyang, Yunjun Yao, Qiao Wang, et al.. (2021). Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982–2018. Remote Sensing. 13(15). 2993–2993. 21 indexed citations
15.
Chen, Xiaowei, Yunjun Yao, Yufu Li, et al.. (2020). ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products. Sensors. 20(17). 4773–4773. 7 indexed citations
16.
Yao, Yunjun, Shunlin Liang, Joshua B. Fisher, et al.. (2020). A Novel NIR–Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China. IEEE Transactions on Geoscience and Remote Sensing. 59(5). 4105–4119. 11 indexed citations
17.
Shang, Ke, Yunjun Yao, Yufu Li, et al.. (2020). Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe. Remote Sensing. 12(4). 687–687. 28 indexed citations
18.
Yao, Yunjun, Lilin Zhang, Yi Lin, et al.. (2020). Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data. Sensors. 20(10). 2811–2811. 12 indexed citations
19.
Ji, Duoying, L. Wang, Juan Feng, et al.. (2014). Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1. Geoscientific model development. 7(5). 2039–2064. 211 indexed citations
20.
Ji, Duoying, L. Wang, Juan Feng, et al.. (2014). Description and basic evaluation of BNU-ESM version 1. 36 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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