Junfeng Guo

About

Junfeng Guo is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junfeng Guo has authored 4 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Junfeng Guo’s work include Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Forensic and Genetic Research (1 paper). Junfeng Guo is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Forensic and Genetic Research (1 paper). Junfeng Guo collaborates with scholars based in United States and China. Junfeng Guo's co-authors include Cong Liu, Zelun Kong, Ang Li, Shouhong Ding, Bangjie Yin, Taiping Yao, Jilin Li, Zexin Li, Hanqing Guo and Li Xiao and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Proceedings of the 28th Annual International Conference on Mobile Computing And Networking.

In The Last Decade

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

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Fields of papers citing papers by Junfeng Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Junfeng Guo

Since Specialization

Citations

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