Cong Guo

36 papers and 275 indexed citations i.

About

Cong Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Cong Guo has authored 36 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Hardware and Architecture. Recurrent topics in Cong Guo’s work include Advanced Neural Network Applications (7 papers), Parallel Computing and Optimization Techniques (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Cong Guo is often cited by papers focused on Advanced Neural Network Applications (7 papers), Parallel Computing and Optimization Techniques (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Cong Guo collaborates with scholars based in China, United States and United Kingdom. Cong Guo's co-authors include Ji He, Ashraf Aboulnaga, Libo Zhang, Jingwen Leng, Minyu Feng, Minyi Guo, Yuhao Zhu, Yunxin Liu, Chen Zhang and Liehuang Zhu and has published in prestigious journals such as Information Sciences, Composite Structures and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Cong Guo i

Fields of papers citing papers by Cong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Guo

Since Specialization
Citations

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