Yongguo Yang

448 total citations
12 papers, 359 citations indexed

About

Yongguo Yang is a scholar working on Global and Planetary Change, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Yongguo Yang has authored 12 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 7 papers in Environmental Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Yongguo Yang's work include Plant Water Relations and Carbon Dynamics (7 papers), Hydrological Forecasting Using AI (5 papers) and Geochemistry and Geologic Mapping (4 papers). Yongguo Yang is often cited by papers focused on Plant Water Relations and Carbon Dynamics (7 papers), Hydrological Forecasting Using AI (5 papers) and Geochemistry and Geologic Mapping (4 papers). Yongguo Yang collaborates with scholars based in China, Australia and Spain. Yongguo Yang's co-authors include Xianming Dou, Zulpiya Mamat, Zhonglin Xu, Hui Yang, Guangxian Liu, Yuhua Chen, Simon M. Jowitt, Peter A. Dowd, Eulogio Pardo‐Igúzquiza and Yue Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Sustainability.

In The Last Decade

Yongguo Yang

12 papers receiving 356 citations

Peers

Yongguo Yang

GPC

WST

ECOLO

Zonghan Ma China

Silvia Maria Alfieri Netherlands

Leidjane Maria Maciel de Oliveira Brazil

Kul Khand United States

Lalith Chandrapala Sri Lanka

Siddhartho Shekhar Paul Canada

Yelong Zeng China

Kavina Dayal Australia

Bagher Bayat Germany

Zonghan Ma China

Yongguo Yang

318 ×1.2

GPC

73 ×0.7

141 ×1.8

WST

97 ×1.4

ECOLO

45 ×0.9

Citations per year, relative to Yongguo Yang Yongguo Yang (= 1×) peers Zonghan Ma

Countries citing papers authored by Yongguo Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yongguo Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongguo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongguo Yang. A scholar is included among the top collaborators of Yongguo 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 Yongguo Yang. Yongguo Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Liu, Guangxian, et al.. (2023). Combination model-based numerical simulation of the mineralizing processes within iron oxide-apatite systems. Ore Geology Reviews. 156. 105394–105394. 7 indexed citations

Liu, Guangxian, Yuhua Chen, Yufeng Deng, et al.. (2023). Numerical simulation of ore formation within skarn-type Pb-Zn deposits: Implications for mineral exploration and the duration of ore-forming processes. Ore Geology Reviews. 163. 105768–105768. 2 indexed citations

Jowitt, Simon M., Feng Yuan, Guangxian Liu, et al.. (2021). Numerical modeling of mineralizing processes during the formation of the Yangzhuang Kiruna-type iron deposit, Middle and Lower Yangtze River Metallogenic Belt, China: Implications for the genesis and longevity of Kiruna-type iron oxide-apatite systems. SHILAP Revista de lepidopterología. 7(1). 23–37. 10 indexed citations

Wang, Hong, Eulogio Pardo‐Igúzquiza, Peter A. Dowd, & Yongguo Yang. (2018). Comparison of statistical methods for testing the hypothesis of constant global mean in spatial statistics. Spatial Statistics. 23. 143–159. 2 indexed citations

Dou, Xianming & Yongguo Yang. (2018). Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation. The Science of The Total Environment. 627. 78–94. 43 indexed citations

Dou, Xianming & Yongguo Yang. (2018). Comprehensive Evaluation of Machine Learning Techniques for Estimating the Responses of Carbon Fluxes to Climatic Forces in Different Terrestrial Ecosystems. Atmosphere. 9(3). 83–83. 19 indexed citations

Dou, Xianming & Yongguo Yang. (2018). Modeling Evapotranspiration Response to Climatic Forcings Using Data-Driven Techniques in Grassland Ecosystems. Advances in Meteorology. 2018. 1–18. 20 indexed citations

Dou, Xianming, et al.. (2018). Estimating Forest Carbon Fluxes Using Machine Learning Techniques Based on Eddy Covariance Measurements. Sustainability. 10(1). 203–203. 42 indexed citations

Dou, Xianming & Yongguo Yang. (2018). Evapotranspiration estimation using four different machine learning approaches in different terrestrial ecosystems. Computers and Electronics in Agriculture. 148. 95–106. 129 indexed citations

10.

Dou, Xianming & Yongguo Yang. (2017). Modeling and Predicting Carbon and Water Fluxes Using Data-Driven Techniques in a Forest Ecosystem. Forests. 8(12). 498–498. 12 indexed citations

11.

Wang, Hong, Eulogio Pardo‐Igúzquiza, Peter A. Dowd, & Yongguo Yang. (2017). Optimal estimation of areal values of near-land-surface temperatures for testing global and local spatio-temporal trends. Computers & Geosciences. 106. 109–117. 1 indexed citations

12.

Yang, Yongguo, et al.. (2016). Land‐Use Change and its Effects in Charchan Oasis, Xinjiang, China. Land Degradation and Development. 28(1). 106–115. 72 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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