Peng-Tao Guo

598 total citations
18 papers, 480 citations indexed

About

Peng-Tao Guo is a scholar working on Environmental Engineering, Ecology and Soil Science. According to data from OpenAlex, Peng-Tao Guo has authored 18 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 5 papers in Ecology and 5 papers in Soil Science. Recurrent topics in Peng-Tao Guo's work include Soil Geostatistics and Mapping (8 papers), Remote Sensing in Agriculture (5 papers) and Leaf Properties and Growth Measurement (5 papers). Peng-Tao Guo is often cited by papers focused on Soil Geostatistics and Mapping (8 papers), Remote Sensing in Agriculture (5 papers) and Leaf Properties and Growth Measurement (5 papers). Peng-Tao Guo collaborates with scholars based in China, Japan and United States. Peng-Tao Guo's co-authors include Mao-Fen Li, Wei Wu, Wei Luo, Zhiwei Liu, Hongbin Liu, Hongbin Liu, Wang Zheng-yin, Zhou Shi, Hongxia Luo and Wei Luo and has published in prestigious journals such as Journal of Cleaner Production, Energy Conversion and Management and Geoderma.

In The Last Decade

Peng-Tao Guo

17 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng-Tao Guo China	9	247	193	125	120	93	18	480
Akhtar Abbas Pakistan	9	181 0.7×	57 0.3×	81 0.6×	58 0.5×	46 0.5×	14	411
Jean Michel Moura-Bueno Brazil	15	347 1.4×	210 1.1×	122 1.0×	193 1.6×	12 0.1×	65	600
Élvio Giasson Brazil	17	522 2.1×	182 0.9×	129 1.0×	436 3.6×	18 0.2×	59	857
Anita Fernanda dos Santos Teixeira Brazil	16	479 1.9×	336 1.7×	44 0.4×	223 1.9×	16 0.2×	40	717
Maryem Arshad Australia	11	205 0.8×	77 0.4×	90 0.7×	83 0.7×	7 0.1×	17	456
Aakriti Sharma United States	9	441 1.8×	353 1.8×	69 0.6×	154 1.3×	12 0.1×	15	685
Waldir de Carvalho Brazil	9	294 1.2×	100 0.5×	92 0.7×	207 1.7×	18 0.2×	27	462
Marilusa Pinto Coelho Lacerda Brazil	11	286 1.2×	169 0.9×	100 0.8×	281 2.3×	7 0.1×	52	576
Rogério Costa Campos Brazil	7	281 1.1×	183 0.9×	60 0.5×	79 0.7×	7 0.1×	14	367
L. E. Vicente Brazil	13	305 1.2×	251 1.3×	153 1.2×	81 0.7×	5 0.1×	40	514

Countries citing papers authored by Peng-Tao Guo

Since Specialization

Citations

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

Fields of papers citing papers by Peng-Tao Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng-Tao Guo. 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 Peng-Tao Guo. The network helps show where Peng-Tao Guo may publish in the future.

Co-authorship network of co-authors of Peng-Tao Guo

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

All Works

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18 of 18 papers shown

Guo, Peng-Tao, et al.. (2025). Estimating leaf phosphorus concentration in rubber trees using hyperspectral reflectance with a limited number of leaf samples. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 341. 126413–126413.

Guo, Peng-Tao, et al.. (2023). Estimating foliar phosphorus of rubber trees using locally modelling approach with hyperspectral reflectance. Infrared Physics & Technology. 131. 104642–104642. 1 indexed citations

Guo, Peng-Tao, et al.. (2022). A local model based on environmental variables clustering for estimating foliar phosphorus of rubber trees with vis-NIR spectroscopic data. Heliyon. 8(6). e09795–e09795. 6 indexed citations

Li, Mao-Fen, Peng-Tao Guo, Shengpei Dai, et al.. (2020). Empirical estimation of daily global solar radiation with contrasting seasons of rain and drought characterize over tropical China. Journal of Cleaner Production. 266. 121915–121915. 6 indexed citations

Guo, Peng-Tao, et al.. (2019). Estimation of foliar nitrogen of rubber trees using hyperspectral reflectance with feature bands. Infrared Physics & Technology. 102. 103021–103021. 13 indexed citations

Li, Baoguo, et al.. (2019). Sampling Size Requirements to Delineate Spatial Variability of Soil Properties for Site-Specific Nutrient Management in Rubber Tree Plantations. Journal of Resources and Ecology. 10(4). 441–441. 1 indexed citations

Guo, Peng-Tao, et al.. (2018). A robust method to estimate foliar phosphorus of rubber trees with hyperspectral reflectance. Industrial Crops and Products. 126. 1–12. 19 indexed citations

Guo, Peng-Tao, et al.. (2017). Impacts of terrain attributes and human activities on soil texture class variations in hilly areas, south-west China. Environmental Monitoring and Assessment. 189(6). 281–281. 6 indexed citations

Guo, Peng-Tao, et al.. (2017). Prediction of soil properties by using geographically weighted regression at a regional scale. Soil Research. 55(4). 318–331. 16 indexed citations

10.

Li, Hong, et al.. (2016). Assessment of spatial uncertainty for delineating optimal soil sampling sites in rubber tree management using sequential indicator simulation. Industrial Crops and Products. 91. 231–237. 8 indexed citations

11.

Guo, Peng-Tao, et al.. (2014). Digital mapping of soil organic matter for rubber plantation at regional scale: An application of random forest plus residuals kriging approach. Geoderma. 237-238. 49–59. 207 indexed citations

12.

Zhang, Guoping, Peng-Tao Guo, Wang Zheng-yin, & Hongbin Liu. (2013). Prediction of spatial distribution of hilly farmland with purple soil nutrient. Nongye gongcheng xuebao. 2013(6). 1 indexed citations

13.

Guo, Peng-Tao, et al.. (2013). Prediction of soil organic matter using artificial neural network and topographic indicators in hilly areas. Nutrient Cycling in Agroecosystems. 95(3). 333–344. 51 indexed citations

14.

Li, Mao-Fen, et al.. (2012). A general model for estimation of daily global solar radiation using air temperatures and site geographic parameters in Southwest China. Journal of Atmospheric and Solar-Terrestrial Physics. 92. 145–150. 53 indexed citations

15.

Liu, Hongbin, Peng-Tao Guo, Wei Wu, & Wang Zheng-yin. (2011). Assessment of Soil Arsenic, Chromium, Mercury, and Lead at an Agricultural Landscape Scale. Soil and Sediment Contamination An International Journal. 20(8). 995–1007. 10 indexed citations

16.

Guo, Peng-Tao, Wei Wu, Hongbin Liu, & Mao-Fen Li. (2011). Effects of land use and topographical attributes on soil properties in an agricultural landscape. Soil Research. 49(7). 606–613. 14 indexed citations

17.

Li, Mao-Fen, Hongbin Liu, Peng-Tao Guo, & Wei Wu. (2010). Estimation of daily solar radiation from routinely observed meteorological data in Chongqing, China. Energy Conversion and Management. 51(12). 2575–2579. 63 indexed citations

18.

Guo, Peng-Tao, Hongbin Liu, & Wei Wu. (2009). Spatial Prediction of Soil Organic Matter Using Terrain Attributes in a Hilly Area. 759–762. 5 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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