Chengjian Feng

About

Chengjian Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chengjian Feng has authored 5 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chengjian Feng’s work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Chengjian Feng is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Chengjian Feng collaborates with scholars based in United States, China and Indonesia. Chengjian Feng's co-authors include Yujie Zhong, Weilin Huang, Yu Gao, Matthew R. Scott, Zequn Jie, Zhaoshui He, Jiawei Wang, Jun Lu, Xiangxiang Chu and Shengli Xie and has published in prestigious journals such as Neurocomputing, 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 Chengjian Feng i

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Fields of papers citing papers by Chengjian Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chengjian Feng

Since Specialization

Citations

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