Yunlong Feng

28 papers and 470 indexed citations i.

About

Yunlong Feng is a scholar working on Computational Mechanics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Yunlong Feng has authored 28 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 8 papers in Statistics and Probability and 7 papers in Artificial Intelligence. Recurrent topics in Yunlong Feng’s work include Sparse and Compressive Sensing Techniques (16 papers), Statistical Methods and Inference (7 papers) and Control Systems and Identification (6 papers). Yunlong Feng is often cited by papers focused on Sparse and Compressive Sensing Techniques (16 papers), Statistical Methods and Inference (7 papers) and Control Systems and Identification (6 papers). Yunlong Feng collaborates with scholars based in China, United States and Belgium. Yunlong Feng's co-authors include Johan A. K. Suykens, Yuning Yang, Lei Shi, Ding‐Xuan Zhou, Qiang Wu, Xiaolin Huang, Siamak Mehrkanoon, Yiming Ying, Ingo Steinwart and Alexander Khmaladze and has published in prestigious journals such as Neural Computation, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

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

Fields of papers citing papers by Yunlong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunlong Feng

Since Specialization
Citations

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