Bohan Zhuang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Plant Science
- Ecology
- Co-authors
- Chunhua ShenMingkui TanIan ReidLingqiao LiuZhuangwei ZhuangJinhui ZhuYong GuoJunzhou Huang
- Topics
- Advanced Neural Network Applications (22 papers)Domain Adaptation and Few-Shot Learning (19 papers)Advanced Image and Video Retrieval Techniques (11 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Bohan Zhuang
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 648
- Electrical and Electronic Engineering 164
- Plant Science 161
- Ecology 103
Countries citing papers authored by Bohan Zhuang
This map shows the geographic impact of Bohan Zhuang'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 Bohan Zhuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bohan Zhuang more than expected).
Fields of papers citing papers by Bohan Zhuang
This network shows the impact of papers produced by Bohan Zhuang. 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 Bohan Zhuang. The network helps show where Bohan Zhuang may publish in the future.
Co-authorship network of co-authors of Bohan Zhuang
This figure shows the co-authorship network connecting the top 25 collaborators of Bohan Zhuang. A scholar is included among the top collaborators of Bohan Zhuang 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 Bohan Zhuang. Bohan Zhuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 31 | |
| 9 | 21 | |
| 10 | 22 | |
| 11 | 20 | |
| 12 | 24 | |
| 13 | 79 | |
| 14 | Training Compact Neural Networks via Auxiliary Overparameterization. | 3 |
| 15 | Training Quantized Network with Auxiliary Gradient Module. | 1 |
| 16 | Discrimination-aware channel pruning for deep neural networks | 209 |
| 17 | 147 | |
| 18 | 85 | |
| 19 | 187 | |
| 20 | Criterion and Detection Algorithm for Road Traffic Congestion Incidents | 11 |
About Bohan Zhuang
Bohan Zhuang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (22 papers), Domain Adaptation and Few-Shot Learning (19 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computational Mathematics (17 citations) and Artificial Intelligence (648 citations). Bohan Zhuang has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Chunhua Shen, Mingkui Tan, Ian Reid, Lingqiao Liu, Zhuangwei Zhuang, Jinhui Zhu, Yong Guo, Junzhou Huang, Zhiguo Cao and Hao Lü. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.