Carl Yang
Impact in
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
-
- Advanced Graph Neural Networks 49
- Topic Modeling 41
- Machine Learning in Healthcare 16
- Privacy-Preserving Technologies in Data 11
-
- Recommender Systems and Techniques 21
- Co-authors
- Jiawei Han (21 shared papers)Yuxin Xiao (4 shared papers)Chao Zhang (6 shared papers)Yizhou Sun (2 shared papers)Quan Yuan (1 shared paper)Yu Zhang (1 shared paper)Hejie Cui (24 shared papers)Lifang He (11 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (5 papers)IEEE Transactions on Multimedia (2 papers)ACM Transactions on Information Systems (1 paper)npj Digital Medicine (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Carl Yang
118 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 1.1k
- Transportation 150
- Statistical and Nonlinear Physics 264
- Information Systems 451
- 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-authors
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
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 211 | |
| 2 | 2020 | 210 | |
| 3 | 2022 | 126 | |
| 4 | 2022 | 92 | |
| 5 | 2018 | 50 | |
| 6 | 2020 | 40 | |
| 7 | 2022 | 38 | |
| 8 | 2021 | 35 | |
| 9 | 2018 | 31 | |
| 10 | 2020 | 31 | |
| 11 | 2022 | 30 | |
| 12 | 2018 | 28 | |
| 13 | 2022 | 28 | |
| 14 | 2020 | 27 | |
| 15 | 2024 | 26 | |
| 16 | 2022 | 24 | |
| 17 | Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond | 2020 | 24 |
| 18 | 2021 | 24 | |
| 19 | Conditional Structure Generation through Graph Variational Generative Adversarial Nets | 2019 | 22 |
| 20 | 2021 | 22 |
About Carl Yang
Carl Yang is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Molecular Biology and Cognitive Neuroscience, having authored 135 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (49 papers), Topic Modeling (41 papers), Complex Network Analysis Techniques (23 papers), Recommender Systems and Techniques (21 papers), Functional Brain Connectivity Studies (20 papers), Machine Learning in Healthcare (16 papers), Biomedical Text Mining and Ontologies (14 papers) and Privacy-Preserving Technologies in Data (11 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Transportation (150 citations), Statistical and Nonlinear Physics (264 citations), Information Systems (451 citations) and Health Informatics (19 citations). Carl Yang has collaborated with scholars based in United States, China and Hong Kong. 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, ACM Transactions on Information Systems, npj Digital Medicine and Knowledge-Based Systems.
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.