Zhen Dong
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Media Technology top 2%
- Cellular and Molecular Neuroscience
- Co-authors
- Mingtao PeiYunde JiaKurt KeutzerMichael W. MahoneyZhewei YaoAmir GholamiYuwei WuYaohui Cai
- Topics
- Advanced Neural Network Applications (11 papers)Advanced Image and Video Retrieval Techniques (9 papers)Advanced Memory and Neural Computing (8 papers)
- Journals
- IEEE Transactions on Electron DevicesIEEE Transactions on Intelligent Transportation SystemsRemote Sensing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhen Dong
41 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 732
- Artificial Intelligence 408
- Electrical and Electronic Engineering 366
- Media Technology 192
- Cellular and Molecular Neuroscience 52
Countries citing papers authored by Zhen Dong
This map shows the geographic impact of Zhen Dong'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 Zhen Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Dong more than expected).
Fields of papers citing papers by Zhen Dong
This network shows the impact of papers produced by Zhen Dong. 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 Zhen Dong. The network helps show where Zhen Dong may publish in the future.
Co-authorship network of co-authors of Zhen Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Dong. A scholar is included among the top collaborators of Zhen Dong 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 Zhen Dong. Zhen Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | HAWQ-V3: Dyadic Neural Network Quantization | 30 |
| 11 | 195 | |
| 12 | 37 | |
| 13 | 224 | |
| 14 | 39 | |
| 15 | 18 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | Real time web vehicle classifier | 2 |
About Zhen Dong
Zhen Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (732 citations), Media Technology (192 citations) and Artificial Intelligence (408 citations). Zhen Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mingtao Pei, Yunde Jia, Kurt Keutzer, Michael W. Mahoney, Zhewei Yao, Amir Gholami, Yuwei Wu, Yaohui Cai, Peng Huang and Jinfeng Kang. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Intelligent Transportation Systems and Remote Sensing.
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.