Jinling Song

84 total papers · 2.1k total citations
56 papers, 1.5k citations indexed

About

Jinling Song is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Jinling Song has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, 32 papers in Environmental Engineering and 19 papers in Global and Planetary Change. Recurrent topics in Jinling Song's work include Remote Sensing in Agriculture (47 papers), Remote Sensing and LiDAR Applications (24 papers) and Leaf Properties and Growth Measurement (12 papers). Jinling Song is often cited by papers focused on Remote Sensing in Agriculture (47 papers), Remote Sensing and LiDAR Applications (24 papers) and Leaf Properties and Growth Measurement (12 papers). Jinling Song collaborates with scholars based in China, United States and Canada. Jinling Song's co-authors include Jindi Wang, Zhiqiang Xiao, Shunlin Liang, Liqiang Zhang, Ping Chen, Xiang Zhao, Yang Xiang, Weisheng Zeng, Han Ma and Jian Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Jinling Song

52 papers receiving 1.5k citations

Hit Papers

Use of General Regression... 2013 2026 2017 2021 2013 2016 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jinling Song 948 915 677 335 331 56 1.5k
Yonghua Qu 731 0.8× 616 0.7× 545 0.8× 272 0.8× 333 1.0× 66 1.3k
Rui Sun 1.1k 1.2× 1.4k 1.6× 600 0.9× 412 1.2× 226 0.7× 108 2.1k
Weiliang Fan 927 1.0× 814 0.9× 584 0.9× 220 0.7× 310 0.9× 54 1.4k
Nathan Torbick 906 1.0× 745 0.8× 575 0.8× 312 0.9× 148 0.4× 52 1.8k
Bingwen Qiu 892 0.9× 773 0.8× 306 0.5× 435 1.3× 282 0.9× 58 1.5k
Manuel Campos‐Taberner 1.2k 1.3× 891 1.0× 666 1.0× 356 1.1× 430 1.3× 48 1.9k
Sébastien Garrigues 1.3k 1.4× 1.1k 1.2× 981 1.4× 388 1.2× 439 1.3× 26 1.9k
Weili Kou 1.4k 1.5× 1.0k 1.1× 655 1.0× 518 1.5× 256 0.8× 65 1.9k
Dalei Hao 1.1k 1.1× 1.1k 1.2× 616 0.9× 562 1.7× 242 0.7× 83 2.0k
C. Milesi 1.1k 1.1× 1.1k 1.2× 612 0.9× 298 0.9× 313 0.9× 42 2.1k

Countries citing papers authored by Jinling Song

Since Specialization
Citations

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

Fields of papers citing papers by Jinling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinling Song

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

All Works

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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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