Jie-Neng Chen

About

Jie-Neng Chen is a scholar working on Surgery, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jie-Neng Chen has authored 5 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jie-Neng Chen’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Jie-Neng Chen is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Jie-Neng Chen collaborates with scholars based in United States, China and Germany. Jie-Neng Chen's co-authors include Ju He, Cheng Yang, Shuai Liu, Changhu Wang, Adam Kortylewski, Yutong Bai, Alan Yuille, Philip H. S. Torr, Song Bai and Shuyang Sun and has published in prestigious journals such as Translational Lung Cancer Research, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Jie-Neng Chen i

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Fields of papers citing papers by Jie-Neng Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jie-Neng Chen. 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 Jie-Neng Chen. The network helps show where Jie-Neng Chen may publish in the future.

Countries citing papers authored by Jie-Neng Chen

Since Specialization

Citations

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