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.
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
2019424 citationsWenjian Ni, Yong Pang et al.Remote Sensing of Environmentprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Guoqing Sun'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 Guoqing Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqing Sun more than expected).
This network shows the impact of papers produced by Guoqing Sun. 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 Guoqing Sun. The network helps show where Guoqing Sun may publish in the future.
Co-authorship network of co-authors of Guoqing Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Guoqing Sun.
A scholar is included among the top collaborators of Guoqing Sun 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 Guoqing Sun. Guoqing Sun is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Meng, Ying, et al.. (2016). Effects of Transgenic Bt+CpTI cotton on the abundance and diversity of rhizosphere ammonia oxidizing bacteria and archaea.. PubMed. 37(5). 881–8.2 indexed citations
Sun, Guoqing. (2010). Scattering and attenuation characteristics of corn at multiple frequencies and view angles by model simulation and truck-mounted microwave radiometer. National Remote Sensing Bulletin.1 indexed citations
11.
Wang, Qiang, et al.. (2010). Construction of MGeoSALL:a Hybrid BRDF Model for Discontinuous Vegetation Canopies. Acta Geodaetica et Cartographica Sinica. 39(2).1 indexed citations
12.
Ni‐Meister, Wenge, Alan H. Strahler, Curtis E. Woodcock, et al.. (2009). Assessing General Relationships Between Above-Ground Biomass and Vegetation Structure Parameters for Improved Carbon Estimate from Lidar Remote Sensing. AGU Fall Meeting Abstracts. 2009.2 indexed citations
Ranson, K.J., et al.. (2006). Merging IceSAT GLAS and Terra MODIS Data in Order to Derive Forest Type Specific Tree Heights in the Central Siberian Boreal Forest.1 indexed citations
15.
Sun, Guoqing. (2006). Sources of Nitrogen Pollution in Water Bodies of Rivers and Lakes in Changshu Region. Nongye huanjing kexue xuebao.1 indexed citations
16.
Sun, Guoqing. (2006). Forest Vertical Parameters from Lidar and Multi-angle Imaging Spectrometer Data. National Remote Sensing Bulletin.9 indexed citations
17.
Li, Xueyuan, et al.. (2005). The extend study on genetic composition of upland cotton breeding in Xinjiang. 3(4). 575–578.2 indexed citations
18.
Wang, Linqing, et al.. (2000). Induction of large grain mutation in adzuki bean(Phaseolus angularis wight) by space environmental condition. 14(2). 93–98.2 indexed citations
19.
Sun, Guoqing, et al.. (1991). Natural abundance of 15N in main N-containing chemical fertilizers of China. 土壤圈(英文版).22 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.