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Researcher · Macao Polytechnic University · China

Xinglong Liang

Xinglong Liang publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and Medical Imaging Techniques and Applications.

ORCID 0009-0001-3813-6726 OpenAlex
World rank
#3,311,500
of 7,710,434 ranked researchers
Rank in China
#520,176
of 978,568
Works
43
Citations
119
Citations per work
2.8
h-index
6
i10-index 3Top 82% in Radiology, Nuclear Medicine and Imaging
Xinglong Liang

What does Xinglong Liang research?

Xinglong Liang's work is mostly in Medicine (42%), Computer Science (23%), Biochemistry, Genetics and Molecular Biology (4%).

Health Sciences: 18 works · 41.8% of their workMedicine: 18 works · 41.8% of their workRadiology, Nuclear Medicine and Imaging: 17 works · 38.5% of their workPulmonary and Respiratory Medicine: 1 works · 3.3% of their workEverything else: 12 works · 27.8% of their workPhysical Sciences: 11 works · 26.3% of their workComputer Science: 10 works · 23.0% of their workArtificial Intelligence: 7 works · 15.6% of their workComputer Vision and Pattern Recognition: 3 works · 7.4% of their workEngineering: 1 works · 3.3% of their workBiomedical Engineering: 1 works · 3.3% of their workLife Sciences: 2 works · 4.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 4.1% of their workCancer Research: 2 works · 4.1% of their workTHEIR WORKXinglong Liang43works
Life Sciences4%Physical Sciences26%Health Sciences42%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine1841.8%
  2. Everything else1227.8%
    1. Computer Science1023.0%
    2. Engineering13.3%
    1. Biochemistry, Genetics and Molecular Biology24.1%
  1. 1Radiology, Nuclear Medicine and Imaging38% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Cancer Research4% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Pulmonary and Respiratory Medicine3% of their works

Research topics

Which keywords describe Xinglong Liang's research?

The keywords of their largest research topics: Machine Learning, Feature Extraction, Medical Imaging, Quantitative Analysis, Radiomics, Deep Learning, Histopathology Images and Medical Image Analysis.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Machine Learning443 topics
  2. Feature Extraction282 topics
  3. Medical Imaging282 topics
  4. Quantitative Analysis251 topic
  5. Radiomics251 topic
  6. Deep Learning233 topics
  7. Histopathology Images161 topic
  8. Medical Image Analysis161 topic
  9. Imaging101 topic
  10. PET/CT101 topic
  11. Breast MRI71 topic
  12. Diffusion-Weighted Imaging71 topic
  13. Breast Tumours41 topic
  14. Dual-Energy CT41 topic
  15. Gene Expression41 topic
  16. Generative Adversarial Networks41 topic
  17. Image Synthesis41 topic
  18. Material Differentiation41 topic
  19. Brain Tumor31 topic
  20. MRI31 topic

Where does Xinglong Liang work?

Xinglong Liang's main affiliation in the publication record is Macao Polytechnic University, China.

How many publications and citations does Xinglong Liang have?

OpenAlex counts 43 works and 119 citations for Xinglong Liang, an h-index of 6, ranking #3,311,500 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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