Rex Ying

9.7k total citations
36 papers, 441 citations indexed

About

Rex Ying is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Rex Ying has authored 36 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Rex Ying's work include Advanced Graph Neural Networks (14 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (4 papers). Rex Ying is often cited by papers focused on Advanced Graph Neural Networks (14 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (4 papers). Rex Ying collaborates with scholars based in United States, China and Singapore. Rex Ying's co-authors include Jure Leskovec, Jiaxuan You, Guangtao Wang, Jonathan M. Gomes-Selman, Jing Huang, Ines Chami, Cristina Re, J. R. Dahn, David A. Stevens and Reza Fathi and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Biomechanics and Journal of Medical Internet Research.

In The Last Decade

Rex Ying

26 papers receiving 430 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rex Ying United States 11 282 100 86 68 56 36 441
Heng Chang China 12 236 0.8× 84 0.8× 41 0.5× 25 0.4× 29 0.5× 39 409
Lixia Xue China 12 183 0.6× 154 1.5× 26 0.3× 68 1.0× 30 0.5× 57 405
Junbo Zhao China 6 305 1.1× 236 2.4× 34 0.4× 48 0.7× 38 0.7× 18 514
Mircea Vlăduţiu Romania 11 142 0.5× 49 0.5× 43 0.5× 180 2.6× 10 0.2× 84 401
Geng Ji China 11 275 1.0× 109 1.1× 23 0.3× 20 0.3× 88 1.6× 39 448
Mohamed Morchid France 9 192 0.7× 86 0.9× 39 0.5× 41 0.6× 28 0.5× 31 354
Emilio Del-Moral-Hernandez Brazil 11 182 0.6× 61 0.6× 24 0.3× 105 1.5× 34 0.6× 62 375
Jinqing Li China 14 142 0.5× 280 2.8× 51 0.6× 30 0.4× 62 1.1× 49 521

Countries citing papers authored by Rex Ying

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rex Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Rex Ying. A scholar is included among the top collaborators of Rex Ying based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rex Ying. Rex Ying is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Duan, Ziheng, et al.. (2025). MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments. PubMed. 2025. 625–634.
2.
3.
Maatouk, Ali, Jialin Chen, Qianqian Xie, et al.. (2025). LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs. 3728–3739. 1 indexed citations
4.
Huang, Tinglin, et al.. (2025). STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images. npj Digital Medicine. 8(1). 659–659.
5.
Ying, Rex, et al.. (2025). Towards unveiling sensitive and decisive patterns in explainable AI with a case study in geometric deep learning. Nature Machine Intelligence. 7(3). 471–483. 2 indexed citations
6.
Maatouk, Ali, Tinglin Huang, Jialin Chen, et al.. (2025). Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial. Journal of Medical Internet Research. 27. e77053–e77053.
7.
Socrates, Vimig, et al.. (2024). HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer. Journal of Biomedical Informatics. 159. 104741–104741. 1 indexed citations
8.
Ying, Rex, et al.. (2024). Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning. 14642–14655. 1 indexed citations
9.
Yang, Meng‐Lin, et al.. (2024). Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. 3770–3781. 4 indexed citations
10.
Han, Simeng, Yilun Zhao, Semih Yavuz, et al.. (2024). P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. 16553–16565.
11.
Chen, Jialin, et al.. (2024). DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. 91405–91429.
12.
Chen, Jialin, Matthias Fey, Weihua Hu, et al.. (2024). From Similarity to Superiority: Channel Clustering for Time Series Forecasting. 130635–130663.
13.
Li, Irene, et al.. (2023). HiPool: Modeling Long Documents Using Graph Neural Networks. 161–171. 2 indexed citations
14.
Chang, Heng, Ziwei Zhang, Xin Wang, et al.. (2023). Adversarially Robust Neural Architecture Search for Graph Neural Networks. 8143–8152. 11 indexed citations
15.
Huang, Tinglin, Yuxiao Dong, Rex Ying, et al.. (2023). BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. 3057–3069. 4 indexed citations
16.
Ying, Rex, et al.. (2021). Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. arXiv (Cornell University). 10 indexed citations
17.
Jia, Zhihao, et al.. (2020). Redundancy-Free Computation for Graph Neural Networks. 997–1005. 40 indexed citations
18.
Chami, Ines, Rex Ying, Cristina Re, & Jure Leskovec. (2019). Hyperbolic Graph Convolutional Neural Networks.. PubMed. 32. 4869–4880. 34 indexed citations
19.
You, Jiaxuan, Rex Ying, Xiang Ren, William L. Hamilton, & Jure Leskovec. (2018). GraphRNN: A Deep Generative Model for Graphs. arXiv (Cornell University). 19 indexed citations
20.
Ying, Rex & Christine E. Wall. (2016). A method for discrimination of noise and EMG signal regions recorded during rhythmic behaviors. Journal of Biomechanics. 49(16). 4113–4118. 2 indexed citations

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.

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