Cun Chang

795 total citations · 1 hit paper
26 papers, 506 citations indexed

About

Cun Chang is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Cun Chang has authored 26 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 13 papers in Ecology and 12 papers in Atmospheric Science. Recurrent topics in Cun Chang's work include Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (9 papers) and Remote Sensing and Land Use (8 papers). Cun Chang is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (9 papers) and Remote Sensing and Land Use (8 papers). Cun Chang collaborates with scholars based in China, United States and Belgium. Cun Chang's co-authors include Anming Bao, Guoxiong Zheng, Liangliang Jiang, Hao Guo, Tao Chen, Latipa Tuerhanjiang, Guli Jiapaer, Ying Liu, Attia M. El-Tantawi and Junli Li and has published in prestigious journals such as The Science of The Total Environment, IEEE Access and Journal of Environmental Management.

In The Last Decade

Cun Chang

22 papers receiving 486 citations

Hit Papers

Disentangling the relative impacts of climate change and ... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Disentangling the relative impacts of climate change and human activities on arid and semiarid grasslands in Central Asia during 1982–2015
    2018 214 citations Tao Chen, Anming Bao et al. The Science of The Total Environment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cun Chang China 10 322 197 111 104 98 26 506
Qunou Jiang China 12 290 0.9× 143 0.7× 107 1.0× 61 0.6× 69 0.7× 40 490
Sudip Pradhan Nepal 5 343 1.1× 183 0.9× 75 0.7× 94 0.9× 56 0.6× 6 478
Vincent Nzabarinda China 14 246 0.8× 109 0.6× 111 1.0× 67 0.6× 91 0.9× 37 419
Rachel Sleeter United States 9 442 1.4× 190 1.0× 75 0.7× 48 0.5× 94 1.0× 15 619
B. Owsley United States 8 219 0.7× 153 0.8× 99 0.9× 55 0.5× 67 0.7× 10 410
Xiaoyu Meng China 14 378 1.2× 262 1.3× 207 1.9× 94 0.9× 73 0.7× 24 587
Guilherme Mataveli Brazil 15 388 1.2× 172 0.9× 86 0.8× 45 0.4× 66 0.7× 61 559
Xin Fan China 15 509 1.6× 181 0.9× 61 0.5× 99 1.0× 63 0.6× 33 652
Per Skougaard Kaspersen Denmark 9 451 1.4× 160 0.8× 124 1.1× 39 0.4× 127 1.3× 15 572
Lianqi Zhu China 16 367 1.1× 173 0.9× 128 1.2× 62 0.6× 49 0.5× 43 587

Countries citing papers authored by Cun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cun Chang

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

All Works

20 of 20 papers shown
1.
Chang, Cun, et al.. (2025). Cross-scale spillover of ecosystem services reveals pathways for equitable ecological compensation in inland river basins. Journal of Environmental Management. 394. 127448–127448.
2.
Zhang, Qi, et al.. (2025). Sensitive shrubland and unique urbanization patterns: the key to understanding emerging towns growth in arid regions. Environmental Monitoring and Assessment. 197(3). 273–273.
3.
Yuan, Ye, Anming Bao, Cun Chang, et al.. (2024). Divergent impacts of seasonal precipitation deficiency on grassland growth in drylands of Central Asia. Environmental Research Letters. 19(10). 104027–104027. 2 indexed citations
4.
5.
Chang, Cun, et al.. (2023). Auto-weighted multiple kernel tensor clustering. Complex & Intelligent Systems. 9(6). 6863–6874. 1 indexed citations
6.
Ma, Yonggang, et al.. (2023). Evaluation of the water conservation function in the Ili River Delta of Central Asia based on the InVEST model. Journal of Arid Land. 15(12). 1455–1473. 11 indexed citations
7.
Chi, Hong, Duan Huang, Jialiang Gan, et al.. (2023). Phenology-Based Maximum Light Use Efficiency for Modeling Gross Primary Production across Typical Terrestrial Ecosystems. Remote Sensing. 15(16). 4002–4002. 4 indexed citations
8.
9.
Chen, Xi, Cun Chang, Tie Liu, et al.. (2022). Impacts of climate change and evapotranspiration on shrinkage of Aral Sea. The Science of The Total Environment. 845. 157203–157203. 37 indexed citations
10.
11.
Bai, Jie, Junli Li, Anming Bao, & Cun Chang. (2021). Spatial-temporal variations of ecological vulnerability in the Tarim River Basin, Northwest China. Journal of Arid Land. 13(8). 814–834. 42 indexed citations
12.
Yi, Qiuxiang, et al.. (2020). Estimation of cotton Car/Chla ratio by hyperspectral vegetation indices and partial least square regression. ACTA AGRONOMICA SINICA. 46(8). 1266–1274. 2 indexed citations
13.
El-Tantawi, Attia M., Anming Bao, Cun Chang, & Ying Liu. (2019). Monitoring and predicting land use/cover changes in the Aksu-Tarim River Basin, Xinjiang-China (1990–2030). Environmental Monitoring and Assessment. 191(8). 480–480. 69 indexed citations
14.
Chen, Tao, Anming Bao, Guli Jiapaer, et al.. (2018). Disentangling the relative impacts of climate change and human activities on arid and semiarid grasslands in Central Asia during 1982–2015. The Science of The Total Environment. 653. 1311–1325. 214 indexed citations breakdown →
15.
Ji, Liang, et al.. (2010). Comparison of Snow Cover Area Acquisitionfrom Multi-Scaling Satellites. Yaogan jishu yu yingyong. 24(5). 567–575. 1 indexed citations
16.
Chang, Cun. (2009). Classification of Sparse Desert Riparian Forest in Extreme Arid Region. Zhongguo shamo. 5 indexed citations
17.
Chang, Cun, Xi Chen, Anming Bao, & Geping Luo. (2008). Quantative Inversion based on Hyperspectral Data for Soil Salinization in the Ecological Corridor of Tarim River, Xinjiang, China. 31. III – 1075. 2 indexed citations
18.
Chen, Xi, et al.. (2007). Analysis of the spectral response of flourishing-withering vegetation changes based on ground spectral measurements. Science in China Series D Earth Sciences. 50(S1). 86–96. 3 indexed citations
19.
Bao, Anming, et al.. (2006). Estimation of the rational water area for controlling wind erosion in the dried-up basin of the Ebinur Lake and its effect detection. Chinese Science Bulletin. 51(S1). 68–74. 16 indexed citations
20.

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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