Yu Rong

8.6k total citations · 4 hit papers
110 papers, 4.2k citations indexed

About

Yu Rong is a scholar working on Artificial Intelligence, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Yu Rong has authored 110 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 32 papers in Materials Chemistry and 27 papers in Molecular Biology. Recurrent topics in Yu Rong's work include Advanced Graph Neural Networks (29 papers), Complex Network Analysis Techniques (19 papers) and Machine Learning in Materials Science (14 papers). Yu Rong is often cited by papers focused on Advanced Graph Neural Networks (29 papers), Complex Network Analysis Techniques (19 papers) and Machine Learning in Materials Science (14 papers). Yu Rong collaborates with scholars based in China, United States and Hong Kong. Yu Rong's co-authors include Junzhou Huang, Wenbing Huang, Tingyang Xu, Peilin Zhao, Daniel T. Chiu, Jiangbo Yu, Xi Xiao, Fangmao Ye, Changfeng Wu and Tian Bian and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yu Rong

102 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

2020 435 citations Tian Bian, Tingyang Xu et al. profile →
Graph Representation Learning via Graphical Mutual Information Maximization

2020 339 citations Wenbing Huang, Yu Rong et al. profile →
Graph Convolutional Networks for Temporal Action Localization

2019 335 citations Runhao Zeng, Wenbing Huang et al. profile →
Progressive Feature Alignment for Unsupervised Domain Adaptation

2019 299 citations Wenbing Huang, Yu Rong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Rong China	30	1.7k	1.2k	935	662	627	110	4.2k
Bu‐Sung Lee Singapore	42	1.4k 0.8×	768 0.6×	800 0.9×	226 0.3×	173 0.3×	370	7.0k
Brian Gallagher United States	28	2.7k 1.6×	303 0.3×	814 0.9×	155 0.2×	402 0.6×	77	5.9k
Fan Zhou China	34	1.5k 0.9×	231 0.2×	474 0.5×	212 0.3×	242 0.4×	328	4.1k
Lei Tang China	36	2.3k 1.3×	226 0.2×	1.1k 1.2×	187 0.3×	340 0.5×	176	5.3k
Huanhuan Chen China	35	1.7k 1.0×	306 0.3×	636 0.7×	338 0.5×	304 0.5×	226	4.1k
Jie Bao China	29	693 0.4×	1.5k 1.2×	541 0.6×	895 1.4×	545 0.9×	159	5.0k
Qiang Qu China	34	1.2k 0.7×	473 0.4×	315 0.3×	103 0.2×	292 0.5×	200	4.0k
Katsumi Tanaka Japan	26	743 0.4×	1.1k 0.9×	476 0.5×	191 0.3×	200 0.3×	430	3.8k
Claudio Gutiérrez Chile	28	2.1k 1.2×	699 0.6×	872 0.9×	101 0.2×	358 0.6×	126	4.9k
Liang Xiao China	63	2.3k 1.3×	1.8k 1.5×	852 0.9×	1.1k 1.6×	300 0.5×	403	13.7k

Countries citing papers authored by Yu Rong

Since Specialization

Citations

This map shows the geographic impact of Yu Rong'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 Yu Rong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Rong more than expected).

Fields of papers citing papers by Yu Rong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Rong. 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 Yu Rong. The network helps show where Yu Rong may publish in the future.

Co-authorship network of co-authors of Yu Rong

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Rong. A scholar is included among the top collaborators of Yu Rong 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 Yu Rong. Yu Rong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Long-Kai, et al.. (2025). Annotation-guided Protein Design with Multi-Level Domain Alignment. 1855–1866. 1 indexed citations

Zhang, Jiying, Fuyang Li, Xi Xiao, et al.. (2025). A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10129–10141.

Sun, Xiangguo, et al.. (2025). Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators. 1860–1869.

Tan, Jie, Kangfei Zhao, Jeffrey Xu Yu, et al.. (2025). Can Large Language Models Be Query Optimizer for Relational Databases?. Proceedings of the ACM on Management of Data. 3(6). 1–28.

Yang, Han, Kangfei Zhao, Lanqing Li, et al.. (2024). Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks. 176. 106328–106328.

Rong, Yu, et al.. (2024). Closed-loop control dynamic obstacle avoidance algorithm based on a machine learning objective function. Journal of Mechanical Science and Technology. 38(6). 3089–3099.

Tan, Jie, Yu Rong, Kangfei Zhao, et al.. (2024). Natural Language-Assisted Multi-modal Medication Recommendation. arXiv (Cornell University). 2200–2209. 1 indexed citations

Liu, Yang, et al.. (2024). Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4548–4558. 1 indexed citations

Bian, Tian, Yifan Niu, Heng Chang, et al.. (2024). Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 130–140. 2 indexed citations

10.

Li, Wei, Bin Xiang, Fan Yang, et al.. (2023). scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data. Briefings in Bioinformatics. 24(6). 4 indexed citations

11.

Rong, Yu, et al.. (2023). Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions. 13078–13092. 1 indexed citations

12.

Zhao, Kangfei, et al.. (2023). Geometric Graph Learning for Protein Mutation Effect Prediction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3412–3422. 2 indexed citations

13.

Cao, Zeyu, Zhipeng Liang, Bingzhe Wu, et al.. (2023). Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 154–166. 3 indexed citations

14.

Han, Jiaqi, Wenbing Huang, Yu Rong, et al.. (2023). Structure-Aware DropEdge Toward Deep Graph Convolutional Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15565–15577. 11 indexed citations

15.

Tao, Shengyu, Haizhou Liu, Chongbo Sun, et al.. (2023). Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning. Nature Communications. 14(1). 8032–8032. 73 indexed citations

16.

Li, Jia, et al.. (2022). Semi-Supervised Hierarchical Graph Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–12. 24 indexed citations

17.

Chang, Heng, Yu Rong, Tingyang Xu, et al.. (2021). Not All Low-Pass Filters are Robust in Graph Convolutional Networks. Neural Information Processing Systems. 34. 14 indexed citations

18.

Zeng, Runhao, Wenbing Huang, Mingkui Tan, et al.. (2021). Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6209–6223. 61 indexed citations

19.

Rong, Yu, Wenbing Huang, Tingyang Xu, & Junzhou Huang. (2019). The Truly Deep Graph Convolutional Networks for Node Classification. arXiv (Cornell University). 12 indexed citations

20.

Chang, Heng, Yu Rong, Tingyang Xu, et al.. (2019). The General Black-box Attack Method for Graph Neural Networks.. arXiv (Cornell University). 3 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.

Explore authors with similar magnitude of impact