Rex Ying
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
-
- Complex Network Analysis Techniques
Papers in ⓘ
-
- Advanced Graph Neural Networks 14
- Topic Modeling 10
- Natural Language Processing Techniques 4
- Co-authors
- Jure Leskovec (10 shared papers)Jiaxuan You (4 shared papers)Jonathan M. Gomes-Selman (1 shared paper)Guangtao Wang (2 shared papers)Jing Huang (1 shared paper)Ines Chami (1 shared paper)Cristina Re (1 shared paper)David A. Stevens (1 shared paper)
- Journals
- Journal of Biomechanics (1 paper)npj Digital Medicine (1 paper)Nature Machine Intelligence (1 paper)Journal of Biomedical Informatics (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Rex Ying
26 papers receiving 430 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 282
- Statistical and Nonlinear Physics 86
- Computer Vision and Pattern Recognition 100
- Automotive Engineering 46
- Signal Processing 27
Countries citing papers authored by Rex Ying
This map shows the geographic impact of Rex Ying'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 Rex Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rex Ying more than expected).
Fields of papers citing papers by Rex Ying
This network shows the impact of papers produced by Rex Ying. 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 Rex Ying. The network helps show where Rex Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Rex Ying, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2021 | 65 | |
| 3 | 2014 | 48 | |
| 4 | 2020 | 40 | |
| 5 | 2021 | 36 | |
| 6 | Hyperbolic Graph Convolutional Neural Networks. | 2019 | 34 |
| 7 | 2019 | 23 | |
| 8 | GraphRNN: A Deep Generative Model for Graphs | 2018 | 19 |
| 9 | 2021 | 16 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2016 | 2 |
About Rex Ying
Rex Ying is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Molecular Biology, having authored 36 papers that have together received 441 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (14 papers), Topic Modeling (10 papers), Natural Language Processing Techniques (4 papers), Machine Learning in Materials Science (3 papers), Time Series Analysis and Forecasting (3 papers), Recommender Systems and Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (282 citations), Statistical and Nonlinear Physics (86 citations), Computer Vision and Pattern Recognition (100 citations), Automotive Engineering (46 citations) and Signal Processing (27 citations). Rex Ying has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jure Leskovec, Jiaxuan You, Jonathan M. Gomes-Selman, Guangtao Wang, Jing Huang, Ines Chami, Cristina Re, David A. Stevens, Reza Fathi and J. R. Dahn. Their work appears in journals such as Journal of Biomechanics, npj Digital Medicine, Nature Machine Intelligence, Journal of Biomedical Informatics and Journal of Medical Internet Research.
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.