Hongliang Fei

21 papers and 134 indexed citations i.

About

Hongliang Fei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Hongliang Fei has authored 21 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Hongliang Fei’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Hongliang Fei is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Hongliang Fei collaborates with scholars based in United States and China. Hongliang Fei's co-authors include Jun Huan, Tan Yu, Ping Li, Yue Zhang, Ping Li, Ping Li, Junhao Zhao, Ping Li, Jingyuan Zhang and Wei Fan and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Co-authorship network of co-authors of Hongliang Fei i

Fields of papers citing papers by Hongliang Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hongliang Fei

Since Specialization
Citations

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