Jiaxuan You
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 11
- Topic Modeling 6
- Machine Learning in Healthcare 2
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- Complex Network Analysis Techniques 2
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- Graph Theory and Algorithms 2
- Ecology top 10%
- Information Systems top 5%
- Recommender Systems and Techniques 4
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- Transportation Planning and Optimization 2
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- Machine Learning in Materials Science 2
- Co-authors
- Jure LeskovecWilliam L. HamiltonXiang RenChristopher MorrisXiaocheng LiStefano ErmonDavid B. LobellDylan Bourgeois
- Cited by
- Artificial IntelligenceStatistical and Nonlinear PhysicsComputer Vision and Pattern Recognition
- Journals
- ACM Computing Surveys (1 paper)Neural Networks (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jiaxuan You
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 721
- Statistical and Nonlinear Physics 199
- Computer Vision and Pattern Recognition 254
- Ecology 190
- Information Systems 165
Countries citing papers authored by Jiaxuan You
This map shows the geographic impact of Jiaxuan You'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 Jiaxuan You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaxuan You more than expected).
Fields of papers citing papers by Jiaxuan You
This network shows the impact of papers produced by Jiaxuan You. 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 Jiaxuan You. The network helps show where Jiaxuan You may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiaxuan You, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 86 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 82 | |
| 10 | Design Space for Graph Neural Networks | 2020 | 6 |
| 11 | Handling Missing Data with Graph Representation Learning | 2020 | 2 |
| 12 | 2020 | 40 | |
| 13 | 2019 | 75 | |
| 14 | 2019 | 23 | |
| 15 | GNNExplainer: Generating Explanations for Graph Neural Networks. | 2019 | 225 |
| 16 | GraphRNN: A Deep Generative Model for Graphs | 2018 | 19 |
| 17 | Hierarchical graph representation learning with differentiable poolingbreakdown → | 2018 | 415 |
| 18 | Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Databreakdown → | 2017 | 345 |
| 19 | 2016 | 0 | |
| 20 | 2016 | 4 |
About Jiaxuan You
Jiaxuan You is a scholar working on Artificial Intelligence, Transportation and Information Systems, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (11 papers), Topic Modeling (6 papers), Recommender Systems and Techniques (4 papers), Transportation Planning and Optimization (2 papers), Machine Learning in Materials Science (2 papers), Machine Learning in Healthcare (2 papers), Graph Theory and Algorithms (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (721 citations), Statistical and Nonlinear Physics (199 citations) and Computer Vision and Pattern Recognition (254 citations). Jiaxuan You has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jure Leskovec, William L. Hamilton, Xiang Ren, Christopher Morris, Xiaocheng Li, Stefano Ermon, David B. Lobell, Dylan Bourgeois, Marinka Žitnik and Rex Ying. Their work appears in journals such as ACM Computing Surveys, Neural Networks and Journal of Biomedical Informatics.
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.