Feng Shuang

90 papers and 810 indexed citations i.

About

Feng Shuang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Feng Shuang has authored 90 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Feng Shuang’s work include Advanced Neural Network Applications (12 papers), Quantum Information and Cryptography (12 papers) and Remote Sensing and LiDAR Applications (11 papers). Feng Shuang is often cited by papers focused on Advanced Neural Network Applications (12 papers), Quantum Information and Cryptography (12 papers) and Remote Sensing and LiDAR Applications (11 papers). Feng Shuang collaborates with scholars based in China, United States and Hong Kong. Feng Shuang's co-authors include Herschel Rabitz, Yong Li, Alexander Pechen, Jialiang Zhu, Jiaguang Tang, Man Zhang, Zhiqiang Guo, Xiuhua Li, Shuxun Hou and Hao Li and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Co-authorship network of co-authors of Feng Shuang i

Fields of papers citing papers by Feng Shuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Shuang

Since Specialization
Citations

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