Ge Yan

57 total papers · 499 total citations
11 papers, 150 citations indexed

About

Ge Yan is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ge Yan has authored 11 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Ge Yan’s work include Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Ge Yan is often cited by papers focused on Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Ge Yan collaborates with scholars based in China and Australia. Ge Yan's co-authors include Xueping Gao, Huaiyong Zhu, You‐Zhao Lan, Feng Wu, Deying Song, Weina Qu, Chaogang Tang, Chunsheng Zhu, Huaming Wu and Wei Li and has published in prestigious journals such as Remote Sensing, Electrochemical and Solid-State Letters and Computers in Biology and Medicine.

Co-authorship network of co-authors of Ge Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Yan. A scholar is included among the top collaborators of Ge Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ge Yan. Ge Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Ge Yan

9 papers receiving 148 citations

Fields of papers citing papers by Ge Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Yan

Since Specialization
Citations

This map shows the geographic impact of Ge Yan'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 Ge Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Yan 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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2026