Song Leng

19 papers and 503 indexed citations i.

About

Song Leng is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Song Leng has authored 19 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 11 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Song Leng’s work include Remote Sensing in Agriculture (9 papers), Climate variability and models (8 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Song Leng is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Climate variability and models (8 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Song Leng collaborates with scholars based in China, Australia and United States. Song Leng's co-authors include Qianfeng Wang, Rongrong Zhang, Jian Wu, Junyu Qi, Lei Zhou, Ming Liu, Chunyuan Diao, Jie Zhang, Jingyu Zeng and Qiang Yu and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Environment International.

In The Last Decade

Co-authorship network of co-authors of Song Leng i

Fields of papers citing papers by Song Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Leng

Since Specialization
Citations

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

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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2025