Carl Yang
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks 48
- Topic Modeling 39
- Machine Learning in Healthcare 16
- Transportation top 5%
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- Complex Network Analysis Techniques 22
- Information Systems top 2%
- Recommender Systems and Techniques 19
- Health Informatics top 10%
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- Functional Brain Connectivity Studies 20
- EEG and Brain-Computer Interfaces 10
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- Biomedical Text Mining and Ontologies 15
- Co-authors
- Jiawei HanYuxin XiaoChao ZhangYizhou SunQuan YuanYu ZhangHejie CuiLifang He
- Journals
- IEEE Transactions on Knowledge and Data Engineering (5 papers)IEEE Transactions on Multimedia (2 papers)Circulation Cardiovascular Imaging (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Carl Yang
110 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 1.1k
- Transportation 148
- Statistical and Nonlinear Physics 260
- Information Systems 435
- Health Informatics 19
Countries citing papers authored by Carl Yang
This map shows the geographic impact of Carl Yang'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 Carl Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Yang more than expected).
Fields of papers citing papers by Carl Yang
This network shows the impact of papers produced by Carl Yang. 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 Carl Yang. The network helps show where Carl Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carl Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 21 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 20 | |
| 19 | 2022 | 5 | |
| 20 | 2011 | 14 |
About Carl Yang
Carl Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Health Informatics, Health Information Management and Cognitive Neuroscience, having authored 130 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (48 papers), Topic Modeling (39 papers), Complex Network Analysis Techniques (22 papers), Functional Brain Connectivity Studies (20 papers), Recommender Systems and Techniques (19 papers), Machine Learning in Healthcare (16 papers), Biomedical Text Mining and Ontologies (15 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Transportation (148 citations), Statistical and Nonlinear Physics (260 citations), Information Systems (435 citations) and Health Informatics (19 citations). Carl Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jiawei Han, Yuxin Xiao, Chao Zhang, Yizhou Sun, Quan Yuan, Yu Zhang, Hejie Cui, Lifang He, Lichao Sun and Philip S. Yu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia, Circulation Cardiovascular Imaging, ACM Transactions on Information Systems and NeuroImage.
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.