Sheng Lin

56 papers and 1.3k indexed citations i.

About

Sheng Lin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Media Technology. According to data from OpenAlex, Sheng Lin has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 16 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Sheng Lin’s work include Remote-Sensing Image Classification (15 papers), Advanced Neural Network Applications (9 papers) and Advanced Memory and Neural Computing (8 papers). Sheng Lin is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Advanced Neural Network Applications (9 papers) and Advanced Memory and Neural Computing (8 papers). Sheng Lin collaborates with scholars based in China, United States and United Kingdom. Sheng Lin's co-authors include Fabrizio Lombardi, Yong-Bin Kim, Min Zhang, Hai Wang, Yanzhi Wang, Xiaoliang Qian, Gong Cheng, Xiwen Yao, Hangli Ren and Wei Wang and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Geoscience and Remote Sensing and Journal of Environmental Management.

In The Last Decade

Co-authorship network of co-authors of Sheng Lin i

Fields of papers citing papers by Sheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Lin

Since Specialization
Citations

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