Kuan Wang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Topics
- Advanced Neural Network Applications (9 papers)Adversarial Robustness in Machine Learning (4 papers)Software-Defined Networks and 5G (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with Applications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kuan Wang
33 papers receiving 559 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 280
- Artificial Intelligence 224
- Computer Networks and Communications 175
- Electrical and Electronic Engineering 132
- Information Systems 66
Countries citing papers authored by Kuan Wang
This map shows the geographic impact of Kuan 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 Kuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan Wang more than expected).
Fields of papers citing papers by Kuan Wang
This network shows the impact of papers produced by Kuan 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 Kuan Wang. The network helps show where Kuan Wang may publish in the future.
Co-authorship network of co-authors of Kuan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuan Wang. A scholar is included among the top collaborators of Kuan 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 Kuan Wang. Kuan 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 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 117 | |
| 14 | 15 | |
| 15 | HAQ: Hardware-Aware Automated Quantization | 24 |
| 16 | 50 | |
| 17 | 127 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 3 |
About Kuan Wang
Kuan Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 38 papers that have together received 573 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (4 papers) and Software-Defined Networks and 5G (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Computer Networks and Communications (175 citations) and Artificial Intelligence (224 citations). Kuan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Wu, Song Han, Ji Lin, Jianhua Li, Gaolei Li, Tianpeng Ye, Zhijian Liu, Yujun Lin, Han Cai and Chuang Gan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.
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.