Qian Song

1.3k total citations
39 papers, 973 citations indexed

About

Qian Song is a scholar working on Ecology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Qian Song has authored 39 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 12 papers in Atmospheric Science and 12 papers in Global and Planetary Change. Recurrent topics in Qian Song's work include Remote Sensing in Agriculture (19 papers), Land Use and Ecosystem Services (11 papers) and Remote Sensing and Land Use (11 papers). Qian Song is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Land Use and Ecosystem Services (11 papers) and Remote Sensing and Land Use (11 papers). Qian Song collaborates with scholars based in China, United States and Hong Kong. Qian Song's co-authors include Wenbin Wu, Qiong Hu, Qiangyi Yu, Peng Yang, Zhengguo Li, Tian Xia, Huajun Tang, Di Chen, Jianping Qian and Qingbo Zhou and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Qian Song

36 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qian Song China 18 443 346 228 223 153 39 973
Raphaël d’Andrimont Italy 15 683 1.5× 414 1.2× 340 1.5× 222 1.0× 224 1.5× 38 1.2k
José Luis Casanova Roque Spain 19 395 0.9× 493 1.4× 241 1.1× 252 1.1× 62 0.4× 70 1.1k
Mohsen Azadbakht Iran 17 432 1.0× 311 0.9× 396 1.7× 226 1.0× 101 0.7× 32 905
Anna Brook Israel 16 264 0.6× 191 0.6× 225 1.0× 103 0.5× 168 1.1× 68 845
Hatem Belhouchette France 21 395 0.9× 320 0.9× 221 1.0× 181 0.8× 48 0.3× 48 1.3k
Chongyang Wang China 18 353 0.8× 294 0.8× 286 1.3× 113 0.5× 63 0.4× 66 1.1k
I. Yu. Savin Russia 17 501 1.1× 306 0.9× 408 1.8× 143 0.6× 69 0.5× 171 1.4k
Marcela Arias France 6 852 1.9× 420 1.2× 335 1.5× 250 1.1× 305 2.0× 8 1.1k
Amy L. Kaleita United States 19 305 0.7× 227 0.7× 352 1.5× 128 0.6× 112 0.7× 84 1.2k

Countries citing papers authored by Qian Song

Since Specialization
Citations

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

Fields of papers citing papers by Qian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qian Song

This figure shows the co-authorship network connecting the top 25 collaborators of Qian Song. A scholar is included among the top collaborators of Qian Song 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 Qian Song. Qian Song 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.
Li, Chenxiao, Jian Yu, Shaofeng Wang, et al.. (2025). Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy. Agronomy. 15(7). 1505–1505.
2.
Cai, Zhiwen, Baodong Xu, Qiangyi Yu, et al.. (2024). A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 260–276. 8 indexed citations
3.
Yang, Jingya, Qiong Hu, Wenjuan Li, et al.. (2024). An automated sample generation method by integrating phenology domain optical-SAR features in rice cropping pattern mapping. Remote Sensing of Environment. 314. 114387–114387. 10 indexed citations
4.
Liu, J., et al.. (2024). Multi-fusion strategy network-guided cancer subtypes discovering based on multi-omics data. Frontiers in Genetics. 15. 1466825–1466825. 1 indexed citations
5.
Zhang, Zhewei, Wenjie Jin, Ke Meng, et al.. (2024). Exploring the Optimized Leaf Area Index Retrieval Strategy Based on the Look-up Table Approach for Decametric-Resolution Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16.
7.
Zhang, Shibo, et al.. (2023). Crop type mapping with temporal sample migration. International Journal of Remote Sensing. 45(19-20). 7014–7032. 12 indexed citations
8.
Song, Qian, et al.. (2023). Experimental Investigation and Thermodynamic Assessment of the Ternary Al–Ni–Er System. Processes. 11(4). 1061–1061. 3 indexed citations
9.
Jia, Nan, Andrés Viña, Yue Dou, et al.. (2023). Long Image Time Series for Crop Extraction Based on the Automatically Generated Samples Algorithm. University of Twente Research Information. 3502–3505. 1 indexed citations
10.
Cai, Zhiwen, Qiong Hu, Xinyu Zhang, et al.. (2022). An Adaptive Image Segmentation Method with Automatic Selection of Optimal Scale for Extracting Cropland Parcels in Smallholder Farming Systems. Remote Sensing. 14(13). 3067–3067. 28 indexed citations
11.
Xia, Tian, Zhen He, Zhiwen Cai, et al.. (2022). Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes. International Journal of Applied Earth Observation and Geoinformation. 107. 102702–102702. 46 indexed citations
12.
Zhang, Ligang, et al.. (2022). Experimental investigation and thermodynamic assessment of the Al–Ca–Y ternary system. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 113(5). 476–488. 1 indexed citations
13.
Leng, Pei, Xia Zhang, Guofei Shang, et al.. (2021). Prediction of vegetation phenology with atmospheric reanalysis over semiarid grasslands in Inner Mongolia. The Science of The Total Environment. 812. 152462–152462. 18 indexed citations
14.
Hu, Qiong, Zhiwen Cai, Jingya Yang, et al.. (2021). An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China. Remote Sensing. 13(22). 4666–4666. 7 indexed citations
15.
Li, Chenxiao, et al.. (2020). Free space traveling–standing wave attenuation method for microwave sensing of grain moisture content. Measurement and Control. 54(3-4). 336–345. 15 indexed citations
16.
Hu, Qiong, et al.. (2020). Global cropland intensification surpassed expansion between 2000 and 2010: A spatio-temporal analysis based on GlobeLand30. The Science of The Total Environment. 746. 141035–141035. 87 indexed citations
17.
Li, Yi, Chao Li, Q.S. Li, et al.. (2020). Aerodynamic performance of CAARC standard tall building model by various corner chamfers. Journal of Wind Engineering and Industrial Aerodynamics. 202. 104197–104197. 51 indexed citations
18.
Hu, Qiong, Wenbin Wu, Qian Song, et al.. (2016). Extending the Pairwise Separability Index for Multicrop Identification Using Time-Series MODIS Images. IEEE Transactions on Geoscience and Remote Sensing. 54(11). 6349–6361. 21 indexed citations
19.
Hu, Qiong, Wenbin Wu, Tian Xia, et al.. (2013). Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping. Remote Sensing. 5(11). 6026–6042. 241 indexed citations
20.
Song, Zhao, et al.. (2012). A Biomass Energy Route for Refineries from a Low-Carbon Perspective. Advanced materials research. 616-618. 1137–1142. 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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