Songlin Cheng

20 papers and 282 indexed citations i.

About

Songlin Cheng is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Songlin Cheng has authored 20 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Songlin Cheng’s work include Groundwater and Isotope Geochemistry (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). Songlin Cheng is often cited by papers focused on Groundwater and Isotope Geochemistry (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). Songlin Cheng collaborates with scholars based in China, United States and Australia. Songlin Cheng's co-authors include Paul E. Damon, T W Linick, Wen-Qin Zheng, Xie‐Yan Song, Guofu Zhou, Yufeng Deng, Wei Xie, Anthony J. Crawford, Jun Li and Gang Deng and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Lithos.

In The Last Decade

Co-authorship network of co-authors of Songlin Cheng i

Fields of papers citing papers by Songlin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songlin Cheng

Since Specialization
Citations

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