Wenbing Huang
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Information Systems top 1%
- Statistical and Nonlinear Physics top 2%
- Sociology and Political Science top 5%
- Topics
- Advanced Graph Neural Networks (18 papers)Advanced Neural Network Applications (10 papers)Multimodal Machine Learning Applications (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- Nature CommunicationsBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wenbing Huang
83 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 1.8k
- Information Systems 465
- Statistical and Nonlinear Physics 419
- Sociology and Political Science 360
Countries citing papers authored by Wenbing Huang
This map shows the geographic impact of Wenbing Huang'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 Wenbing Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbing Huang more than expected).
Fields of papers citing papers by Wenbing Huang
This network shows the impact of papers produced by Wenbing Huang. 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 Wenbing Huang. The network helps show where Wenbing Huang may publish in the future.
Co-authorship network of co-authors of Wenbing Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenbing Huang. A scholar is included among the top collaborators of Wenbing Huang 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 Wenbing Huang. Wenbing Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 38 | |
| 11 | Multimodal Token Fusion for Vision Transformersbreakdown → | 135 |
| 12 | 61 | |
| 13 | Dual Message Passing Neural Network for Molecular Property Prediction. | 5 |
| 14 | GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. | 6 |
| 15 | 58 | |
| 16 | The Truly Deep Graph Convolutional Networks for Node Classification | 12 |
| 17 | The General Black-box Attack Method for Graph Neural Networks. | 3 |
| 18 | 74 | |
| 19 | Learning stable linear dynamical systems with the weighted least square method | 7 |
| 20 | Scalable Gaussian process regression using deep neural networks | 26 |
About Wenbing Huang
Wenbing Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Acoustics and Ultrasonics, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (18 papers), Advanced Neural Network Applications (10 papers) and Multimodal Machine Learning Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Artificial Intelligence (2.1k citations) and Statistical and Nonlinear Physics (419 citations). Wenbing Huang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junzhou Huang, Yu Rong, Tingyang Xu, Chuang Gan, Fuchun Sun, Peilin Zhao, Mingkui Tan, Runhao Zeng, Boqing Gong and Lele Cao. Their work appears in journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.