Jiaxuan You

7.9k citations
20 papers · 1.4k indexed · 2 hit papers · h-index 11

Jiaxuan You

15 papers receiving 1.3k citations

Hit Papers

Hierarchical graph representation learning with different...4152017202620202023100200300400

Peers

Jiaxuan You
Comparison fields: 5 of 115
  • Artificial Intelligence 721
  • Statistical and Nonlinear Physics 199
  • Computer Vision and Pattern Recognition 254
  • Ecology 190
  • Information Systems 165
Replace Abdelouahab Moussaouı with:
Abdelouahab Moussaouı Algeria
Asit Kumar Das India
Ming Zhong China
Donatello Conte France
Xiaoli Z. Fern United States
Xin Hu China
Cheng Tan China
Vipin Kumar United States
P. Viswanath India
Shaoning Pang New Zealand
Jiaxuan You relative to Abdelouahab Moussaouı Algeria Abdelouahab Moussaouı's profile →
Citations per field
00.5×1.5×2.5×
Abdelouahab Moussaouı · 1×
Citations per year

Countries citing papers authored by Jiaxuan You

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jiaxuan You Line = papers co-authored together Jiaxuan You links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20250
4 20240
5 202318
6 20233
7 202286
8 202115
9 202182
10
Design Space for Graph Neural Networks
20206
11
Handling Missing Data with Graph Representation Learning
20202
12 202040
13 201975
14 201923
15
GNNExplainer: Generating Explanations for Graph Neural Networks.
2019225
16
GraphRNN: A Deep Generative Model for Graphs
201819
17
Hierarchical graph representation learning with differentiable poolingbreakdown →
2018415
18
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Databreakdown →
2017345
19 20160
20 20164

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026