Huiyu Wang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Topics
- Advanced Neural Network Applications (12 papers)Advanced Memory and Neural Computing (11 papers)Neural Networks Stability and Synchronization (9 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Huiyu Wang
48 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 522
- Artificial Intelligence 254
- Electrical and Electronic Engineering 237
- Computer Networks and Communications 98
- Control and Systems Engineering 81
Countries citing papers authored by Huiyu Wang
This map shows the geographic impact of Huiyu Wang'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 Huiyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiyu Wang more than expected).
Fields of papers citing papers by Huiyu Wang
This network shows the impact of papers produced by Huiyu Wang. 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 Huiyu Wang. The network helps show where Huiyu Wang may publish in the future.
Co-authorship network of co-authors of Huiyu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Huiyu Wang. A scholar is included among the top collaborators of Huiyu Wang 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 Huiyu Wang. Huiyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 16 | |
| 13 | 0 | |
| 14 | MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformersbreakdown → | 329 |
| 15 | Weight Standardization | 21 |
| 16 | Compositional Convolutional Networks For Robust Object Classification under Occlusion. | 2 |
| 17 | 75 | |
| 18 | ELASTIC: Improving CNNs with Instance Specific Scaling Policies. | 2 |
| 19 | 66 | |
| 20 | A Slicing Algorithm of Concurrency Modeling Based on Petri Nets. | 5 |
About Huiyu Wang
Huiyu Wang is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Bioengineering, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Advanced Memory and Neural Computing (11 papers) and Neural Networks Stability and Synchronization (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Artificial Intelligence (254 citations) and Media Technology (67 citations). Huiyu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Alan Yuille, Liang-Chieh Chen, Hartwig Adam, Yukun Zhu, Yujian Ye, Goran Štrbac, Yi Tang, Xiang Wu, Shutang Liu and Xiaoping Zhang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.
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.