Chao Ding

1.1k total citations
46 papers, 832 citations indexed

About

Chao Ding is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Chao Ding has authored 46 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 15 papers in Environmental Engineering and 12 papers in Global and Planetary Change. Recurrent topics in Chao Ding's work include Remote Sensing in Agriculture (21 papers), Remote Sensing and LiDAR Applications (8 papers) and Land Use and Ecosystem Services (8 papers). Chao Ding is often cited by papers focused on Remote Sensing in Agriculture (21 papers), Remote Sensing and LiDAR Applications (8 papers) and Land Use and Ecosystem Services (8 papers). Chao Ding collaborates with scholars based in China, United States and Australia. Chao Ding's co-authors include Xiangnan Liu, Xiangnan Liu, Ling Wu, Meiling Liu, Lu Zhang, Mingsheng Liao, Feng Liu, Guangcai Feng, Jiale Jiang and Fang Huang and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and Remote Sensing of Environment.

In The Last Decade

Chao Ding

44 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Ding China 18 276 214 204 178 165 46 832
Tobias Ullmann Germany 18 408 1.5× 310 1.4× 294 1.4× 88 0.5× 301 1.8× 65 1.1k
Manfred F. Buchroithner Germany 19 220 0.8× 340 1.6× 587 2.9× 199 1.1× 258 1.6× 27 1.3k
Füsun Balık Şanlı Türkiye 20 440 1.6× 428 2.0× 266 1.3× 228 1.3× 445 2.7× 83 1.3k
Antonino Maltese Italy 17 257 0.9× 328 1.5× 192 0.9× 66 0.4× 369 2.2× 84 1.0k
Rachid Lhissou Canada 14 201 0.7× 199 0.9× 110 0.5× 93 0.5× 418 2.5× 35 833
Veronika Kopačková Czechia 18 255 0.9× 170 0.8× 93 0.5× 80 0.4× 251 1.5× 51 868
Sibylle Itzerott Germany 15 513 1.9× 265 1.2× 135 0.7× 53 0.3× 296 1.8× 34 826
Xihong Cui China 22 379 1.4× 281 1.3× 201 1.0× 139 0.8× 548 3.3× 44 1.3k
Niels Anders Netherlands 11 294 1.1× 137 0.6× 91 0.4× 104 0.6× 286 1.7× 26 629
R. R. Navalgund India 17 315 1.1× 233 1.1× 292 1.4× 63 0.4× 412 2.5× 67 945

Countries citing papers authored by Chao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Ding. A scholar is included among the top collaborators of Chao Ding 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 Chao Ding. Chao Ding 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.
Zou, Jiawei, et al.. (2025). Populus Euphratica extraction based on deep learning of spatiotemporal Information using Sentinel data. International Journal of Remote Sensing. 46(17). 6322–6349. 1 indexed citations
2.
Zeng, Yelu, et al.. (2024). Spatiotemporal variation of spring phenology and the corresponding scale effects and uncertainties: A case study in southwestern China. International Journal of Applied Earth Observation and Geoinformation. 135. 104294–104294. 5 indexed citations
3.
Zou, Jiawei, et al.. (2024). Mapping Natural Populus euphratica Forests in the Mainstream of the Tarim River Using Spaceborne Imagery and Google Earth Engine. Remote Sensing. 16(18). 3429–3429. 4 indexed citations
4.
5.
6.
Lu, Longhui, Yingying Dong, Wenjiang Huang, et al.. (2023). Spatiotemporal Distribution and Main Influencing Factors of Grasshopper Potential Habitats in Two Steppe Types of Inner Mongolia, China. Remote Sensing. 15(3). 866–866. 13 indexed citations
7.
Ding, Chao, et al.. (2023). Impacts of terrain on land surface phenology derived from Harmonized Landsat 8 and Sentinel-2 in the Tianshan Mountains, China. GIScience & Remote Sensing. 60(1). 6 indexed citations
8.
Ding, Chao, Yuanyuan Meng, Wenjiang Huang, & Qiaoyun Xie. (2023). Varying effects of tree cover on relationships between satellite-observed vegetation greenup date and spring temperature across Eurasian boreal forests. The Science of The Total Environment. 899. 165650–165650. 7 indexed citations
9.
Ding, Chao, Wenjiang Huang, Ming Liu, & Shuang Zhao. (2022). Change in the elevational pattern of vegetation greenup date across the Tianshan Mountains in Central Asia during 2001–2020. Ecological Indicators. 136. 108684–108684. 13 indexed citations
10.
Ding, Chao, Wenjiang Huang, Yuanyuan Meng, & Biyao Zhang. (2022). Satellite-Observed Spatio-Temporal Variation in Spring Leaf Phenology of Subtropical Forests across the Nanling Mountains in Southern China over 1999–2019. Forests. 13(9). 1486–1486. 6 indexed citations
11.
Ding, Chao, Wenjiang Huang, Yao Li, Shuang Zhao, & Fang Huang. (2020). Nonlinear Changes in Dryland Vegetation Greenness over East Inner Mongolia, China, in Recent Years from Satellite Time Series. Sensors. 20(14). 3839–3839. 10 indexed citations
12.
Yan, Yue, Xingyi Zhang, Jielin Liu, et al.. (2020). The effectiveness of selected vegetation communities in regulating runoff and soil loss from regraded gully banks in the Mollisol region of Northeast China. Land Degradation and Development. 32(6). 2116–2129. 19 indexed citations
13.
Chen, Hao, Xiangnan Liu, Chao Ding, & Fang Huang. (2018). Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation. Sensors. 18(11). 3676–3676. 21 indexed citations
14.
Zhang, Junwei, et al.. (2018). An Abnormal Behavior Detection Based on Deep Learning. 1. 61–65. 3 indexed citations
15.
Ding, Chao, Xiangnan Liu, & Fang Huang. (2017). Temporal Interpolation of Satellite-Derived Leaf Area Index Time Series by Introducing Spatial-Temporal Constraints for Heterogeneous Grasslands. Remote Sensing. 9(9). 968–968. 10 indexed citations
16.
Zhou, Ke, et al.. (2017). Measurement and Analysis of Channel Transmission Characteristics for Low-Voltage Power Networks. DEStech Transactions on Computer Science and Engineering.
17.
Liu, Xiangnan, et al.. (2016). Developing a thermal characteristic index for lithology identification using thermal infrared remote sensing data. Advances in Space Research. 59(1). 74–87. 9 indexed citations
18.
Ding, Chao, Xiangnan Liu, Fang Huang, Yao Li, & Xinyu Zou. (2016). Onset of drying and dormancy in relation to water dynamics of semi-arid grasslands from MODIS NDWI. Agricultural and Forest Meteorology. 234-235. 22–30. 21 indexed citations
19.
20.
Ding, Chao, Xiangnan Liu, Wencan Liu, Meiling Liu, & Yao Li. (2014). Mafic–ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function. Ore Geology Reviews. 60. 161–173. 41 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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