Baishu Guo

976 total citations
16 papers, 808 citations indexed

About

Baishu Guo is a scholar working on Economics and Econometrics, Global and Planetary Change and General Agricultural and Biological Sciences. According to data from OpenAlex, Baishu Guo has authored 16 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 9 papers in Global and Planetary Change and 4 papers in General Agricultural and Biological Sciences. Recurrent topics in Baishu Guo's work include Land Use and Ecosystem Services (9 papers), Energy, Environment, Economic Growth (3 papers) and Land Rights and Reforms (3 papers). Baishu Guo is often cited by papers focused on Land Use and Ecosystem Services (9 papers), Energy, Environment, Economic Growth (3 papers) and Land Rights and Reforms (3 papers). Baishu Guo collaborates with scholars based in China, Australia and United States. Baishu Guo's co-authors include Gui Jin, Xiangzheng Deng, Jun Yang, Dong Yin, Kun Chen, Pei Wang, Zhaohua Li, Kunlun Chen, Ying Fang and Zhengyu Zhang and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Technological Forecasting and Social Change and Sustainability.

In The Last Decade

Baishu Guo

15 papers receiving 790 citations

Peers

Baishu Guo
Dong Yin China
Baishu Guo
Citations per year, relative to Baishu Guo Baishu Guo (= 1×) peers Dong Yin

Countries citing papers authored by Baishu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Baishu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baishu Guo

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

All Works

16 of 16 papers shown
1.
Guo, Baishu & Gui Jin. (2025). Heterogeneity of urban‒rural responses to multigoal policy from an efficiency perspective: An empirical study in China. Habitat International. 158. 103341–103341. 11 indexed citations
2.
Guo, Baishu & Gui Jin. (2025). Beyond the land quantity: Rethinking the role of land quality in agriculture from the efficiency perspective. Socio-Economic Planning Sciences. 98. 102151–102151. 10 indexed citations
3.
Guo, Baishu, et al.. (2024). Urban green total factor productivity in China: A generalized Luenberger productivity indicator and its parametric decomposition. Sustainable Cities and Society. 106. 105365–105365. 44 indexed citations
4.
6.
Guo, Baishu, Kunlun Chen, & Gui Jin. (2023). Does multi-goal policy affect agricultural land efficiency? A quasi-natural experiment based on the natural resource conservation and intensification pilot scheme. Applied Geography. 161. 103141–103141. 24 indexed citations
8.
Yin, Dong, et al.. (2022). Industrial Transformation and Urban Economic Efficiency Evolution: An Empirical Study of the Yangtze River Economic Belt. International Journal of Environmental Research and Public Health. 19(7). 4154–4154. 3 indexed citations
9.
Fang, Ying, et al.. (2021). Study on the Comprehensive Improvement of Ecosystem Services in a China’s Bay City for Spatial Optimization. Water. 13(15). 2072–2072. 3 indexed citations
10.
Zhang, Zhengyu, Gui Jin, Baishu Guo, Dong Yin, & Kun Chen. (2020). Research on the spatial vulnerability and resilience of land in the Yangtze River Economic Belt based on multi-criteria decision. 自然资源学报. 35(1). 95–95. 4 indexed citations
11.
Guo, Baishu, et al.. (2020). Analysis on the spatiotemporal patterns and driving mechanisms of China's agricultural production efficiency from 2000 to 2015. Physics and Chemistry of the Earth Parts A/B/C. 120. 102909–102909. 68 indexed citations
12.
Jin, Gui, et al.. (2020). Designing a spatial pattern to rebalance the orientation of development and protection in Wuhan. Journal of Geographical Sciences. 30(4). 569–582. 79 indexed citations
13.
Jin, Gui, Baishu Guo, & Xiangzheng Deng. (2019). Is there a decoupling relationship between CO2 emission reduction and poverty alleviation in China?. Technological Forecasting and Social Change. 151. 119856–119856. 117 indexed citations
14.
Jin, Gui, Kun Chen, Pei Wang, et al.. (2019). Trade-offs in land-use competition and sustainable land development in the North China Plain. Technological Forecasting and Social Change. 141. 36–46. 195 indexed citations
15.
Jin, Gui, et al.. (2018). Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014. Journal of Geographical Sciences. 28(8). 1113–1126. 211 indexed citations
16.
Guo, Baishu. (2008). Transformation of Sulfonamide Antibiotics on Soil Mineral Oxides. Molecules and Cells. 26(1). 18–25. 4 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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