Yao Lu

3.2k total citations
161 papers, 2.2k citations indexed

About

Yao Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yao Lu has authored 161 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Radiology, Nuclear Medicine and Imaging, 53 papers in Computer Vision and Pattern Recognition and 46 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yao Lu's work include AI in cancer detection (43 papers), Digital Radiography and Breast Imaging (38 papers) and Medical Imaging Techniques and Applications (34 papers). Yao Lu is often cited by papers focused on AI in cancer detection (43 papers), Digital Radiography and Breast Imaging (38 papers) and Medical Imaging Techniques and Applications (34 papers). Yao Lu collaborates with scholars based in China, United States and Japan. Yao Lu's co-authors include Jun Wei, Heang‐Ping Chan, Lubomir M. Hadjiiski, Zitao Zeng, Yunzhe Zhang, Weihao Xie, Mark A. Helvie, Ravi K. Samala, Chuan Zhou and Yuesheng Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yao Lu

145 papers receiving 2.1k citations

Peers

Yao Lu
Comparison fields: 5 of 170
  • Radiology, Nuclear Medicine and Imaging 956
  • Artificial Intelligence 671
  • Computer Vision and Pattern Recognition 519
  • Pulmonary and Respiratory Medicine 501
  • Biomedical Engineering 410
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Shijun Wang United States
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Arkadiusz Gertych United States View profile →
Citations per field, relative to Yao Lu
Yao Lu · 1×
Citations per year, relative to Yao Lu
Yao Lu · 1×

Countries citing papers authored by Yao Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yao Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Lu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 4
5 9
6 0
7 1
8 6
9 33
10 9
11 12
12 4
13 34
14 4
15 243
16 20
17
Evaluation of myocardial blood supply using adenosine stress myocardial perfusion imaging
1
18
Fudan University at TRECVID 2010 : Semantic Indexing.
1
19
Super-resolution image pyramid
1
20
Super-Resolution of Undersampled and Subpixel Shifted Image Sequence by Pyramid Iterative Back-Projection
3

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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