Dan Xue

24 total papers · 957 total citations
12 papers, 410 citations indexed

About

Dan Xue is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dan Xue has authored 12 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dan Xue's work include AI in cancer detection (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Dan Xue is often cited by papers focused on AI in cancer detection (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Dan Xue collaborates with scholars based in China and United States. Dan Xue's co-authors include Chen Li, Shouliang Qi, Md Mamunur Rahaman, Yudong Yao, Hao Chen, Zhou Xiao-min, Hongzan Sun, Jinghua Zhang, Jinpeng Zhang and Tao Jiang and has published in prestigious journals such as IEEE Access, Artificial Intelligence Review and Molecular Medicine.

In The Last Decade

Dan Xue

10 papers receiving 396 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dan Xue	281	185	133	56	45	12	410
Xianling Hu	259 0.9×	188 1.0×	156 1.2×	44 0.8×	32 0.7×	9	389
Shiliang Ai	286 1.0×	200 1.1×	160 1.2×	17 0.3×	53 1.2×	8	396
Farhan Akram	244 0.9×	147 0.8×	224 1.7×	55 1.0×	33 0.7×	31	494
Ruiwei Feng	148 0.5×	154 0.8×	118 0.9×	25 0.4×	15 0.3×	14	445
Hritam Basak	218 0.8×	113 0.6×	184 1.4×	54 1.0×	40 0.9×	11	396
Mahboubeh Jannesari	231 0.8×	242 1.3×	104 0.8×	18 0.3×	55 1.2×	6	493
Kim Eun Hee	177 0.6×	197 1.1×	78 0.6×	18 0.3×	42 0.9×	25	480
Xintong Li	255 0.9×	106 0.6×	163 1.2×	17 0.3×	24 0.5×	22	402
Jiaxin Wang	188 0.7×	125 0.7×	86 0.6×	27 0.5×	44 1.0×	15	461
Xiaofei Luo	241 0.9×	165 0.9×	136 1.0×	15 0.3×	22 0.5×	6	369

Countries citing papers authored by Dan Xue

Since Specialization

Citations

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

Fields of papers citing papers by Dan Xue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Xue. A scholar is included among the top collaborators of Dan Xue 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 Dan Xue. Dan Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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