Jingfeng Wu

8 papers and 69 indexed citations i.

About

Jingfeng Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Jingfeng Wu has authored 8 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Jingfeng Wu’s work include Stochastic Gradient Optimization Techniques (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Machine Learning and ELM (2 papers). Jingfeng Wu is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Machine Learning and ELM (2 papers). Jingfeng Wu collaborates with scholars based in China, United States and Macao. Jingfeng Wu's co-authors include Zhanxing Zhu, Jinwen Ma, Bing Yu, Bing Yu, Sen Wang, Feng Gao, Jiao Wang, Zhizhong Li, Bo Chen and Kejiang Ye and has published in prestigious journals such as Software Practice and Experience, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jingfeng Wu i

Fields of papers citing papers by Jingfeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jingfeng Wu

Since Specialization
Citations

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