Jinling Song

2.1k citations
56 papers · 1.5k indexed · 2 hit papers · h-index 15
Topics
Remote Sensing in Agriculture (47 papers)Remote Sensing and LiDAR Applications (24 papers)Leaf Properties and Growth Measurement (12 papers)

In The Last Decade

Jinling Song

52 papers receiving 1.5k citations

Hit Papers

Use of General Regression Neural Networks for Generating ...201320262017202120132016100200300400500

Peers

Jinling Song
Comparison fields: 5 of 71
  • Ecology 957
  • Global and Planetary Change 922
  • Environmental Engineering 685
  • Atmospheric Science 343
  • Plant Science 331
Replace Sébastien Garrigues with:
Sébastien Garrigues France
Dalei Hao United States
Marta Chiesi Italy
Valérie Demarez France
Jean-François Dejoux France
Ronghai Hu China
J.J. van der Sanden Canada
Ajit Govind Syria
Minseok Kang South Korea
Muhammad Hasan Ali Baig China
Jinling Song relative to Sébastien Garrigues France Sébastien Garrigues's profile →
Citations per field
00.5×1.5×1.8×
Sébastien Garrigues · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 9
5 1
6 0
7 9
8 14
9 9
10 14
11 32
12 34
13
Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectancebreakdown →
535
14 3
15
Modeling and Simulation of Virtual Machine Tool Based on Pro/E and VERIVCUT
2
16 2
17 1
18
[The research on bidirectional reflectance computer simulation of forest canopy at pixel scale].
2
19 2
20 1

About Jinling Song

Jinling Song is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (47 papers), Remote Sensing and LiDAR Applications (24 papers) and Leaf Properties and Growth Measurement (12 papers). The work is most often cited by research in Environmental Engineering (685 citations), Global and Planetary Change (922 citations) and Ecology (957 citations). Jinling Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jindi Wang, Zhiqiang Xiao, Shunlin Liang, Ping Chen, Liqiang Zhang, Xiang Zhao, Yang Xiang, Han Ma, Weisheng Zeng and Jian Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

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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