Aize Cao

1.1k citations
34 papers · 737 indexed · h-index 16

Impact in

Papers in

Aize Cao

33 papers receiving 721 citations

Peers

Aize Cao
Comparison fields: 5 of 95
  • Critical Care and Intensive Care Medicine 101
  • Anesthesiology and Pain Medicine 71
  • Cognitive Neuroscience 196
  • Developmental Neuroscience 36
  • Computer Vision and Pattern Recognition 130
Replace Jooyoung Oh with:
Jooyoung Oh South Korea
Ana Rita Silva Portugal
Paul Y K Wu United States
José Mariz Portugal
Daniel J. Cameron Canada
Nora Tusor United Kingdom
Haoqi Sun United States
Guillaume Sacco France
Kirk H. Shelley United States
Aize Cao relative to Jooyoung Oh South Korea Jooyoung Oh's profile →
Citations per field
00.5×4.7×
Jooyoung Oh · 1×
Citations per year

Countries citing papers authored by Aize Cao

Since Specialization
Citations

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

Fields of papers citing papers by Aize Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aize Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aize Cao Line = papers co-authored together Aize Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 201918
4 201928
5 20193
6 20155
7 201437
8 20147
9 201337
10 201246
11 201257
12 201211
13 201117
14 201033
15 200850
16 20084
17 200827
18 200719
19 20072
20 20043

About Aize Cao

Aize Cao is a scholar working on Computer Vision and Pattern Recognition, Toxicology, Artificial Intelligence, Cognitive Neuroscience and Hepatology, having authored 34 papers that have together received 737 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Advanced Clustering Algorithms Research (7 papers), Medical Image Segmentation Techniques (5 papers), Anatomy and Medical Technology (4 papers), Image Retrieval and Classification Techniques (4 papers), AI in cancer detection (4 papers), Surgical Simulation and Training (3 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (101 citations), Anesthesiology and Pain Medicine (71 citations), Cognitive Neuroscience (196 citations), Developmental Neuroscience (36 citations) and Computer Vision and Pattern Recognition (130 citations). Aize Cao has collaborated with scholars based in United States, Singapore and United Arab Emirates. Frequent co-authors include Michael I. Miga, Prashanth Dumpuri, Benoît M. Dawant, Reid C. Thompson, Siyi Ding, Theodore Speroff, Ronald L. Cowan, Xulei Yang, Margaret M. Benningfield and Qing Song. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Artificial Intelligence in Medicine, Journal of Neurodevelopmental Disorders, Medical Physics and Contemporary Clinical Trials.

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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