Dan Xue

972 total citations
12 papers, 413 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 413 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), Radiomics and Machine Learning in Medical Imaging (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Dan Xue is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Dan Xue collaborates with scholars based in China and United States. Dan Xue's co-authors include Chen Li, Shouliang Qi, Yudong Yao, Md Mamunur Rahaman, Hongzan Sun, Zhou Xiao-min, Hao Chen, 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 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Xue China 7 284 185 133 56 45 12 413
Surbhi Gupta India 15 268 0.9× 188 1.0× 83 0.6× 30 0.5× 46 1.0× 24 563
Shiliang Ai China 5 292 1.0× 205 1.1× 160 1.2× 18 0.3× 53 1.2× 8 404
Farhan Akram Spain 13 244 0.9× 147 0.8× 224 1.7× 55 1.0× 33 0.7× 31 498
Ruiwei Feng China 11 150 0.5× 155 0.8× 121 0.9× 25 0.4× 15 0.3× 14 454
Yaniv Bar Israel 3 238 0.8× 282 1.5× 139 1.0× 19 0.3× 30 0.7× 4 487
Xiaofei Luo Japan 4 241 0.8× 165 0.9× 136 1.0× 15 0.3× 22 0.5× 6 370
Luyang Luo Hong Kong 11 308 1.1× 431 2.3× 135 1.0× 24 0.4× 55 1.2× 26 706
Xiangchen Wu China 6 427 1.5× 212 1.1× 147 1.1× 173 3.1× 61 1.4× 9 542
Mehrad Aria Iran 11 174 0.6× 175 0.9× 105 0.8× 21 0.4× 14 0.3× 14 367

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

12 of 12 papers shown
1.
Li, Xiaoping, et al.. (2025). Serum KL-6 levels reflect the severity of interstitial lung disease caused by immune checkpoint inhibitors. Immunobiology. 230(1). 152866–152866.
3.
Xue, Dan, et al.. (2024). Glycerophosphodiester phosphodiesterase 1 mediates G3P accumulation for Eureka lemon resistance to citrus yellow vein clearing virus. Horticulture Research. 12(1). uhae287–uhae287. 2 indexed citations
5.
Wang, Sufang, Dan Xue, Jing Liang, et al.. (2023). The synergistic regulation effect on the structure and electronic properties of graphene by methane plasma, Stone-Wales defect and equibiaxial strain. Diamond and Related Materials. 140. 110426–110426. 6 indexed citations
6.
Li, Chen, Frank Kulwa, Md Mamunur Rahaman, et al.. (2020). Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos. IEEE Access. 8. 114519–114540. 12 indexed citations
7.
Xue, Dan, Zhou Xiao-min, Chen Li, et al.. (2020). An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification. IEEE Access. 8. 104603–104618. 121 indexed citations
8.
Li, Chen, Hao Chen, Xiaoyan Li, et al.. (2020). A review for cervical histopathology image analysis using machine vision approaches. Artificial Intelligence Review. 53(7). 4821–4862. 59 indexed citations
9.
Xiao-min, Zhou, Chen Li, Md Mamunur Rahaman, et al.. (2020). A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. IEEE Access. 8. 90931–90956. 144 indexed citations
10.
Liu, Shu-Yan, Weihong Guo, Bo Yang, et al.. (2019). Comparison of stress response following microwave ablation and surgical resection of benign thyroid nodules. Endocrine. 65(1). 138–143. 17 indexed citations
11.
Li, Chen, Hao Chen, Le Zhang, et al.. (2019). Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning. IEEE Access. 7. 90378–90397. 35 indexed citations
12.
Xue, Dan, et al.. (2019). A multi-scale fusion prediction method for lithium-ion battery capacity based on ensemble empirical mode decomposition and nonlinear autoregressive neural networks. International Journal of Distributed Sensor Networks. 15(3). 812336731–812336731. 16 indexed citations

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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