Chaoya Dang

755 total citations
30 papers, 547 citations indexed

About

Chaoya Dang is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Chaoya Dang has authored 30 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 11 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in Chaoya Dang's work include Remote Sensing in Agriculture (9 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Land Use and Ecosystem Services (6 papers). Chaoya Dang is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Land Use and Ecosystem Services (6 papers). Chaoya Dang collaborates with scholars based in China, United States and Australia. Chaoya Dang's co-authors include Zhenfeng Shao, Xiao Huang, Jiaxin Qian, Hui Yue, Qingwei Zhuang, Gui Cheng, Qing Ding, Jinlong Chen, Ying Liu and Rong Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Chaoya Dang

27 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoya Dang China 12 354 204 129 111 68 30 547
Zhanghua Xu China 11 256 0.7× 166 0.8× 95 0.7× 78 0.7× 93 1.4× 40 446
Li Pan China 10 297 0.8× 251 1.2× 127 1.0× 107 1.0× 63 0.9× 18 459
Jianbo Tan China 15 372 1.1× 264 1.3× 138 1.1× 92 0.8× 61 0.9× 35 589
Javier Muro Germany 13 337 1.0× 249 1.2× 196 1.5× 112 1.0× 30 0.4× 23 553
Gao Lin China 8 187 0.5× 252 1.2× 151 1.2× 95 0.9× 71 1.0× 28 434
S. Parthiban India 4 257 0.7× 192 0.9× 170 1.3× 72 0.6× 35 0.5× 8 492
Michel Eustáquio Dantas Chaves Brazil 13 334 0.9× 328 1.6× 160 1.2× 92 0.8× 65 1.0× 38 634
Jędrzej S. Bojanowski Poland 12 303 0.9× 120 0.6× 147 1.1× 152 1.4× 63 0.9× 25 503
Jinlong Gao China 14 255 0.7× 343 1.7× 138 1.1× 113 1.0× 57 0.8× 31 569

Countries citing papers authored by Chaoya Dang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoya Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoya Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoya Dang. A scholar is included among the top collaborators of Chaoya Dang 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 Chaoya Dang. Chaoya Dang 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.
Dang, Chaoya, et al.. (2026). Clumped canopy architecture raises global crop yield and reduces N2O emissions. Nature Plants. 12(1). 49–61.
2.
Cheng, Tao, et al.. (2025). Chinese cities show disparity trends in carbon efficiency: A hybrid approach combining explainable machine learning and econometrics. Sustainable Cities and Society. 127. 106455–106455. 2 indexed citations
4.
Cheng, Gui, Hao Yang, Yan Tian, et al.. (2025). WMFA-AT: Adaptive Teacher with Weighted Multi-Layer Feature Alignment for Cross-Domain UAV Object Detection. Remote Sensing. 17(23). 3854–3854.
5.
Shao, Zhenfeng, Qingwei Zhuang, Chaoya Dang, et al.. (2025). Multi-scale coupling quantitative assessment of ecological-urban resilience in the Yangtze River Economic Belt. Geo-spatial Information Science. 28(5). 2142–2162. 2 indexed citations
6.
Zhang, Ya, Peng Fu, Chaoya Dang, et al.. (2025). Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery. International Journal of Applied Earth Observation and Geoinformation. 136. 104348–104348.
7.
Wang, Chao, et al.. (2024). Chinese cities show different trend toward carbon peak. The Science of The Total Environment. 934. 173156–173156. 12 indexed citations
8.
Qian, Jiaxin, Jie Yang, Weidong Sun, et al.. (2024). Application potential and spatiotemporal uncertainty assessment of multi-layer soil moisture estimation in different climate zones using multi-source data. Journal of Hydrology. 645. 132229–132229. 5 indexed citations
9.
Dang, Chaoya, Zhenfeng Shao, Peng Fu, et al.. (2024). Causal inference reveals the dominant role of interannual variability of carbon sinks in complicated environmental-terrestrial ecosystems. Remote Sensing of Environment. 311. 114300–114300. 7 indexed citations
10.
Dang, Chaoya, Zhenfeng Shao, Xiao Huang, et al.. (2024). Global vegetation productivity increased in response to COVID-19 restrictions. Geo-spatial Information Science. 27(6). 2123–2136. 7 indexed citations
11.
Chen, Jinlong, et al.. (2023). Vegetation as the catalyst for water circulation on global terrestrial ecosystem. The Science of The Total Environment. 895. 165071–165071. 25 indexed citations
12.
Shao, Zhenfeng, Chaoya Dang, Xiao Huang, et al.. (2023). Assessing urban wetlands dynamics in Wuhan and Nanchang, China. The Science of The Total Environment. 901. 165777–165777. 18 indexed citations
13.
Liu, Ying, et al.. (2023). A dryness index TSWDI based on land surface temperature, sun-induced chlorophyll fluorescence, and water balance. ISPRS Journal of Photogrammetry and Remote Sensing. 202. 581–598. 48 indexed citations
14.
Dang, Chaoya, Zhenfeng Shao, Xiao Huang, et al.. (2023). Vegetation greenness and photosynthetic phenology in response to climatic determinants. Frontiers in Forests and Global Change. 6. 11 indexed citations
15.
Shao, Zhenfeng, et al.. (2023). The impact of policies on land cover and ecosystem services dynamics in the Poyang Lake Ecological Economic Zone, China. Ecological Indicators. 156. 111169–111169. 13 indexed citations
16.
Wang, Yu, Zhenfeng Shao, Tao Lü, et al.. (2023). Remote Sensing Pan-Sharpening via Cross-Spectral–Spatial Fusion Network. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 3 indexed citations
17.
Chen, Jinlong, Zhenfeng Shao, Xiao Huang, et al.. (2022). Assessing the impact of drought-land cover change on global vegetation greenness and productivity. The Science of The Total Environment. 852. 158499–158499. 64 indexed citations
18.
Liu, Ying, et al.. (2022). Comparison between modified remote sensing ecological index and RSEI. National Remote Sensing Bulletin. 26(4). 683–697. 29 indexed citations
19.
Liu, Ying, et al.. (2021). Enhanced drought detection and monitoring using sun-induced chlorophyll fluorescence over Hulun Buir Grassland, China. The Science of The Total Environment. 770. 145271–145271. 43 indexed citations
20.
Dang, Chaoya, Zhenfeng Shao, Xiao Huang, et al.. (2021). Assessment of the importance of increasing temperature and decreasing soil moisture on global ecosystem productivity using solar‐induced chlorophyll fluorescence. Global Change Biology. 28(6). 2066–2080. 83 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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