Ao Li

49 papers receiving 405 citations

Peers

Ao Li
Comparison fields: 5 of 101
  • Health Informatics 7
  • Developmental Neuroscience 17
  • Cognitive Neuroscience 68
  • Cardiology and Cardiovascular Medicine 63
  • Physiology 60
Replace Minjae Kim with:
Minjae Kim South Korea
Hakseung Kim South Korea
Jiahe Wang China
Yu‐Chieh Chen Taiwan
Mark J. Connolly United States
Haruhiko Takeuchi Japan
Chungkeun Lee South Korea
Farid Yaghouby United States
Lingyun Gu China
Krithika Swaminathan United States
Ao Li relative to Minjae Kim South Korea Minjae Kim's profile →
Citations per field
00.5×2×4×5.5×
Minjae Kim · 1×
Citations per year

Countries citing papers authored by Ao Li

Since Specialization
Citations

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

Fields of papers citing papers by Ao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ao Li, 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 Ao Li Line = papers co-authored together Ao Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202348
2 202343
3 202135
4 201931
5 202020
6 202416
7 202416
8 201914
9 202114
10 202214
11 201913
12 201912
13 202010
14 202310
15 20249
16 20249
17 20238
18 20247
19 20246
20 20225

About Ao Li

Ao Li is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 408 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (3 papers), Sleep and Wakefulness Research (2 papers), Neural dynamics and brain function (2 papers), Machine Learning in Healthcare (2 papers), Machine Learning and ELM (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neural Networks and Applications (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Health Informatics (7 citations), Developmental Neuroscience (17 citations), Cognitive Neuroscience (68 citations), Cardiology and Cardiovascular Medicine (63 citations) and Physiology (60 citations). Ao Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Janet Meiling Roveda, Huayu Li, Stuart F. Quan, Gregory Ditzler, Linda S. Powers, Hailong Dong, Qianzi Yang, Geng Yuan, Siteng Chen and Ya Ming Zhao. Their work appears in journals such as Journal of Clinical Sleep Medicine, Frontiers in Psychology, SLEEP, IEEE Journal of Biomedical and Health Informatics and PLoS ONE.

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.

Explore authors with similar magnitude of impact