Hongyu Ren
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Media Technology top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Jure LeskovecMichihiro YasunagaAntoine BosselutPercy LiangHongwei WangYizhou WangStefano ErmonJiaming Song
- Topics
- Advanced Graph Neural Networks (9 papers)Topic Modeling (8 papers)Domain Adaptation and Few-Shot Learning (3 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Hongyu Ren
20 papers receiving 532 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 407
- Computer Vision and Pattern Recognition 165
- Information Systems 51
- Media Technology 43
- Management Science and Operations Research 41
Countries citing papers authored by Hongyu Ren
This map shows the geographic impact of Hongyu Ren'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 Hongyu Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyu Ren more than expected).
Fields of papers citing papers by Hongyu Ren
This network shows the impact of papers produced by Hongyu Ren. 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 Hongyu Ren. The network helps show where Hongyu Ren may publish in the future.
Co-authorship network of co-authors of Hongyu Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Hongyu Ren. A scholar is included among the top collaborators of Hongyu Ren 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 Hongyu Ren. Hongyu Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. | 1 |
| 6 | LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs | 20 |
| 7 | QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answeringbreakdown → | 248 |
| 8 | 10 | |
| 9 | 60 | |
| 10 | Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs | 5 |
| 11 | Graph Information Bottleneck | 6 |
| 12 | 29 | |
| 13 | Adaptive Antithetic Sampling for Variance Reduction | 2 |
| 14 | 2 | |
| 15 | Bias and Generalization in Deep Generative Models: An Empirical Study | 7 |
| 16 | Multi-Agent Generative Adversarial Imitation Learning | 25 |
| 17 | 56 | |
| 18 | 3 | |
| 19 | 16 | |
| 20 | 1 |
About Hongyu Ren
Hongyu Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 21 papers that have together received 543 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Topic Modeling (8 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Artificial Intelligence (407 citations), Computer Vision and Pattern Recognition (165 citations) and Media Technology (43 citations). Hongyu Ren has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Jure Leskovec, Michihiro Yasunaga, Antoine Bosselut, Percy Liang, Hongwei Wang, Yizhou Wang, Stefano Ermon, Jiaming Song, Dorsa Sadigh and Xinyun Chen. Their work appears in journals such as Journal of Oral and Maxillofacial Surgery, Journal of Craniofacial Surgery and AI Magazine.
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.