Aize Cao

1.1k citations
35 papers · 800 · h-index 16

Impact in

Papers in

Aize Cao

34 papers receiving 762 citations

Peers

Aize Cao
Comparison fields: 5 of 93
  • Critical Care and Intensive Care Medicine 93
  • Cognitive Neuroscience 188
  • Developmental and Educational Psychology 73
  • Clinical Psychology 112
  • Anesthesiology and Pain Medicine 26
Replace Caterina Pistarini with:
Caterina Pistarini Italy
Olga Boukrina United States
Ana Rita Silva Portugal
Laurence Hugonot-Diener France
Julia A. Scott United States
M. Quintana Spain
Xuehai Wu China
Daniel J. Cameron Canada
Nora Tusor United Kingdom
Kirk H. Shelley United States
Aize Cao relative to Caterina Pistarini Italy Caterina Pistarini's profile →
Citations per field
00.5×6.5×
Caterina Pistarini · 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

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018116
2 201374
3 201362
4 201260
5 200852
6 201250
7 201439
8 201938
9 201037
10 201734
11 201930
12 200829
13 200727
14 200723
15 201918
16 201117
17 200513
18 200610
19 200410
20 201210

About Aize Cao

Aize Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience and Surgery, having authored 35 papers that have together received 800 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (7 papers), Face and Expression Recognition (6 papers), Medical Image Segmentation Techniques (5 papers), AI in cancer detection (5 papers), Anatomy and Medical Technology (4 papers), Image Retrieval and Classification Techniques (4 papers), Surgical Simulation and Training (3 papers) and Forensic Toxicology and Drug Analysis (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (93 citations), Cognitive Neuroscience (188 citations), Developmental and Educational Psychology (73 citations), Clinical Psychology (112 citations) and Anesthesiology and Pain Medicine (26 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, Siyi Ding, Benoît M. Dawant, Reid C. Thompson, Ronald L. Cowan, Xulei Yang, Margaret M. Benningfield, Theodore Speroff and Qing Song. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Mathematical Imaging and Vision, Digestive Diseases and Sciences, Frontiers in Cellular and Infection Microbiology and Journal of Hospital Medicine.

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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