Guangdong Feng

9 papers and 409 indexed citations i.

About

Guangdong Feng is a scholar working on Computational Mathematics, Building and Construction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guangdong Feng has authored 9 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mathematics, 4 papers in Building and Construction and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guangdong Feng’s work include Tensor decomposition and applications (5 papers), Traffic Prediction and Management Techniques (4 papers) and Image and Signal Denoising Methods (1 paper). Guangdong Feng is often cited by papers focused on Tensor decomposition and applications (5 papers), Traffic Prediction and Management Techniques (4 papers) and Image and Signal Denoising Methods (1 paper). Guangdong Feng collaborates with scholars based in China, United States and Taiwan. Guangdong Feng's co-authors include Huachun Tan, Wuhong Wang, Jianshuai Feng, Feng Li, Yujin Zhang, Yu‐Jin Zhang, Bin Ran, Bin Cheng, Yuankai Wu and Chuan Qin and has published in prestigious journals such as Neurocomputing, Transportation Research Part C Emerging Technologies and Electronics.

In The Last Decade

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

Fields of papers citing papers by Guangdong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangdong Feng

Since Specialization
Citations

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