Guangxing Ji

1.5k total citations
51 papers, 1.2k citations indexed

About

Guangxing Ji is a scholar working on Global and Planetary Change, Water Science and Technology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Guangxing Ji has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 26 papers in Water Science and Technology and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Guangxing Ji's work include Hydrology and Watershed Management Studies (22 papers), Land Use and Ecosystem Services (12 papers) and Air Quality and Health Impacts (8 papers). Guangxing Ji is often cited by papers focused on Hydrology and Watershed Management Studies (22 papers), Land Use and Ecosystem Services (12 papers) and Air Quality and Health Impacts (8 papers). Guangxing Ji collaborates with scholars based in China, South Africa and Serbia. Guangxing Ji's co-authors include Jincai Zhao, Yulong Chen, Yanlin Yue, Zhizhu Lai, Yuan Tian, Zheng Wang, Zheng Wang, Dan Yan, Yang Xu and Zheng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Guangxing Ji

45 papers receiving 1.1k citations

Peers

Guangxing Ji

GPC

WST

HTM

Lien Poelmans Belgium

Zhulu Lin United States

Yue Deng China

Shiqiang Du China

SU Wei-ci China

Hejie Wei China

Shamita Kumar India

Mohamad Azani Alias Malaysia

Ajay Bhave United Kingdom

Ana Mijić United Kingdom

Lien Poelmans Belgium

Guangxing Ji

814 ×1.1

GPC

166 ×0.4

WST

232 ×0.8

240 ×1.1

HTM

128 ×0.8

Citations per year, relative to Guangxing Ji Guangxing Ji (= 1×) peers Lien Poelmans

Countries citing papers authored by Guangxing Ji

Since Specialization

Citations

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

Fields of papers citing papers by Guangxing Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxing Ji

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

All Works

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20 of 20 papers shown

Ji, Guangxing, et al.. (2025). Simulation of actual evaporation and its multi-time scale attribution analysis for major rivers in China. Journal of Hydrology. 657. 133121–133121. 1 indexed citations

Wang, Jiaming, Jun Jiang, Jianping Wu, et al.. (2025). Integrating PLUS and InVEST model to project carbon dynamics in China’s yellow river basin under multi-scenarios (1980–2100). Frontiers in Earth Science. 13. 1 indexed citations

Chen, Weiqiang, et al.. (2025). Predicting Non-Point Source Pollution in Henan Province Using the Diffuse Pollution Estimation with Remote Sensing Model with Enhanced Sensitivity Analysis. Applied Sciences. 15(5). 2261–2261.

Li, Lei, et al.. (2025). Spatiotemporal variation characteristics of ecosystem carbon storage in Zhengzhou and future multi-scenario simulation prediction. Frontiers in Environmental Science. 13.

Li, Ling, et al.. (2025). Multiscenario Land Use Change Simulation and Its Impact on Ecosystem Service Function in Henan Province Based on FLUS‐InVEST Model. Ecology and Evolution. 15(3). e71111–e71111. 2 indexed citations

Hu, Miao, Yiyang Bian, & Guangxing Ji. (2024). Assessing the sustainability of China's coastal regions: A perspective on local coupling and telecoupling. Ecological Modelling. 501. 110974–110974. 3 indexed citations

Wang, Jiaming, Guangxing Ji, & Yingxin Hu. (2024). Effect of Vegetation Growth, Agricultural Irrigation and Climatic Variability on Streamflow in Wujiang, China. Forests. 15(11). 1928–1928.

Zhang, Jincai, et al.. (2024). Spatiotemporal Variation Characteristics of Ecosystem Carbon Storage in Henan Province and Future Multi-Scenario Simulation Prediction. Land. 13(2). 185–185. 6 indexed citations

Yu, Ying, et al.. (2024). Simulation and attribution analysis of agricultural nitrogen non-point source pollution in Huang-Huai-Hai Plain based on the InVEST model. Frontiers in Environmental Science. 12. 1 indexed citations

10.

Ji, Guangxing, et al.. (2023). Quantitative Assessment of the Contribution of Climate and Underlying Surface Change to Multiscale Runoff Variation in the Jinsha River Basin, China. Land. 12(8). 1564–1564. 2 indexed citations

11.

Liu, Zhi‐Pei, et al.. (2023). Attribution analysis of multi-temporal scale changes of streamflow in the source area of Lancang River with seasonal scale Budyko model. Frontiers in Ecology and Evolution. 11. 7 indexed citations

12.

Ji, Guangxing, et al.. (2023). Assessing the Impact of Vegetation Variation, Climate and Human Factors on the Streamflow Variation of Yarlung Zangbo River with the Corrected Budyko Equation. Forests. 14(7). 1312–1312. 15 indexed citations

13.

Guo, Yulong, Qiang Xu, Donghao Li, et al.. (2023). Extraction of Information on the Flooding Extent of Agricultural Land in Henan Province Based on Multi-Source Remote Sensing Images and Google Earth Engine. Agronomy. 13(2). 355–355. 11 indexed citations

14.

Liu, Yuan, et al.. (2023). Assessing the contribution of vegetation variation to streamflow variation in the Lancang River Basin, China. Frontiers in Ecology and Evolution. 10. 13 indexed citations

15.

Chen, Weiqiang, et al.. (2023). Quantitative Evaluation of the Impact of Vegetation Restoration and Climate Variation on Runoff Attenuation in the Luan River Basin Based on the Extended Budyko Model. Land. 12(8). 1626–1626. 5 indexed citations

16.

Ji, Guangxing, et al.. (2023). Spatial and Temporal Variability Characteristics of Future Carbon Stocks in Anhui Province under Different SSP Scenarios Based on PLUS and InVEST Models. Land. 12(9). 1668–1668. 23 indexed citations

17.

Yue, Yanlin, Zheng Wang, Li Tian, et al.. (2020). Modeling the spatiotemporal dynamics of industrial sulfur dioxide emissions in China based on DMSP-OLS nighttime stable light data. PLoS ONE. 15(9). e0238696–e0238696. 4 indexed citations

18.

Xu, Yang, Ruishan Chen, Michael E. Meadows, Guangxing Ji, & Jianhua Xu. (2020). Modelling water yield with the InVEST model in a data scarce region of northwest China. Water Science & Technology Water Supply. 20(3). 1035–1045. 67 indexed citations

19.

Xu, Yang, Guangxing Ji, Chong Wang, et al.. (2019). Modeling nitrogen and phosphorus export with InVEST model in Bosten Lake basin of Northwest China. PLoS ONE. 14(7). e0220299–e0220299. 26 indexed citations

20.

Ji, Guangxing, et al.. (2015). Spatial distribution of grain yield based on different sample scales and partitioning schemes and its error correction.. Nongye gongcheng xuebao. 31(15). 272–278. 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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