Junsan Zhao

442 total citations
49 papers, 292 citations indexed

About

Junsan Zhao is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Junsan Zhao has authored 49 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 12 papers in Artificial Intelligence. Recurrent topics in Junsan Zhao's work include Land Use and Ecosystem Services (17 papers), Remote Sensing and Land Use (8 papers) and Soil Geostatistics and Mapping (6 papers). Junsan Zhao is often cited by papers focused on Land Use and Ecosystem Services (17 papers), Remote Sensing and Land Use (8 papers) and Soil Geostatistics and Mapping (6 papers). Junsan Zhao collaborates with scholars based in China and Japan. Junsan Zhao's co-authors include Yilin Lin, Guoping Chen, Heigang Xiong, Rongyao Wang, Jiaqi Cheng, Liang Yuan, Mingsheng Zhang, Wenfei Xi, Daming Zhu and Bo‐Hui Tang and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Junsan Zhao

43 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junsan Zhao China	11	137	78	57	50	47	49	292
Kamal Pandey India	8	86 0.6×	52 0.7×	64 1.1×	47 0.9×	41 0.9×	30	253
Esmaeil Alizadeh Iran	6	127 0.9×	71 0.9×	41 0.7×	56 1.1×	30 0.6×	18	312
Babak Ranjgar Iran	10	160 1.2×	32 0.4×	53 0.9×	59 1.2×	119 2.5×	19	389
Wenfu Wu China	9	115 0.8×	31 0.4×	67 1.2×	90 1.8×	86 1.8×	20	322
Benjamin Ghansah Ghana	10	139 1.0×	26 0.3×	45 0.8×	46 0.9×	67 1.4×	19	317
Zohreh Masoumi Iran	12	147 1.1×	106 1.4×	32 0.6×	20 0.4×	72 1.5×	24	354
Jiakui Tang China	9	169 1.2×	20 0.3×	145 2.5×	56 1.1×	62 1.3×	35	291
Vahagn Muradyan Armenia	9	134 1.0×	22 0.3×	73 1.3×	104 2.1×	154 3.3×	29	340
Hao Zhao China	10	85 0.6×	17 0.2×	35 0.6×	57 1.1×	58 1.2×	25	349

Countries citing papers authored by Junsan Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Junsan Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junsan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Junsan Zhao. A scholar is included among the top collaborators of Junsan Zhao 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 Junsan Zhao. Junsan Zhao 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

Zhang, Dandan, et al.. (2025). Temporal and Spatial Carbon Stock Changes and Driving Mechanisms Based on Land Use Multi‐Scenario Modeling: An Assessment of SDGs15.3—A Case Study of the Central Yunnan Urban Agglomeration, China. Land Degradation and Development. 36(9). 3017–3036. 3 indexed citations

Li, Yongping, et al.. (2025). Spatio-Temporal Evolution and Conflict Diagnosis of Territorial Space in Mountainous–Flatland Areas from a Multi-Scale Perspective: A Case Study of the Central Yunnan Urban Agglomeration. Land. 14(4). 703–703. 1 indexed citations

Zhao, Junsan, et al.. (2025). Spatiotemporal Characteristics and Scale Effects of Ecosystem Service Bundles in the Xijiang River Basin: Implications for Territorial Spatial Planning and Sustainable Land Management. Sustainability. 17(5). 1967–1967.

Zhao, Junsan, et al.. (2024). Coupling and Coordination Relationship of Economic–Social–Natural Composite Ecosystem in Central Yunnan Urban Agglomeration. Sustainability. 16(7). 2758–2758. 1 indexed citations

Zhao, Junsan, et al.. (2024). Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data. IEEE Access. 12. 111187–111195. 2 indexed citations

Zhao, Junsan, et al.. (2023). Exploring ecological carbon sequestration advantage and economic responses in an ecological security pattern: A nature-based solutions perspective. Ecological Modelling. 488. 110597–110597. 6 indexed citations

Zhao, Junsan, et al.. (2023). Study on the Spatial and Temporal Evolution of NDVI and Its Driving Mechanism Based on Geodetector and Hurst Indexes: A Case Study of the Tibet Autonomous Region. Sustainability. 15(7). 5981–5981. 7 indexed citations

Li, Yongping, et al.. (2023). Spatiotemporal evolution and Sustainably comprehensive zoning optimization of production–living–ecological functions in the Mountain–Flatland areas. Heliyon. 10(1). e23425–e23425. 12 indexed citations

Zhao, Junsan, et al.. (2023). Research on Secure Storage Technology of Spatiotemporal Big Data Based on Blockchain. Applied Sciences. 13(13). 7911–7911. 2 indexed citations

10.

Li, Yongping, et al.. (2023). Qualitative-quantitative identification and functional zoning analysis of production-living-ecological space: a case study of Urban Agglomeration in Central Yunnan, China. Environmental Monitoring and Assessment. 195(10). 1163–1163. 6 indexed citations

11.

Chen, Guoping, et al.. (2023). Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China. Sensors. 23(5). 2549–2549. 23 indexed citations

12.

Zhao, Junsan, et al.. (2022). Estimation of SO42− ion in saline soil using VIS-NIR spectroscopy under different human activity stress. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 282. 121647–121647. 5 indexed citations

13.

Zhao, Junsan, et al.. (2022). The Monitoring and Analysis of Land Subsidence in Kunming (China) Supported by Time Series InSAR. Sustainability. 14(19). 12387–12387. 14 indexed citations

14.

Xiong, Heigang, et al.. (2019). Mechanism Improvement for Pretreatment Accuracy of Field Spectra of Saline Soil Using Fractional Differential Algorithm. 39(8). 2495–2500. 5 indexed citations

15.

Zhao, Junsan, et al.. (2018). Research on Data Sharing Analysis and Key Technology of Smart City. 1–7. 1 indexed citations

16.

Chen, Guoping, et al.. (2017). Implementation of a Geological Disaster Monitoring and Early Warning System Based on Multi-source Spatial Data: A Case Study of Deqin County, Yunnan Province. 6 indexed citations

17.

Zhao, Junsan. (2010). Application of Open Source GIS to WebGIS. Geospatial Information. 1 indexed citations

18.

Yuan, Lei, et al.. (2010). The framework and research of the Land and Resources Information Service System based on Web Services.. 23(3). 458–462.

19.

Zhao, Junsan. (2007). Methodologies of the Implementation of the Spatial Databases in the GIS Software Development. Journal of Kunming University of Science and Technology. 1 indexed citations

20.

Zhao, Junsan, et al.. (2005). Methods of Integrating and Updating Geo-Spatial Databases. Journal of Kunming University of Science and Technology. 1 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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