Zheng Zhan
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Signal Processing
- Topics
- Advanced Neural Network Applications (10 papers)Domain Adaptation and Few-Shot Learning (5 papers)Advanced Memory and Neural Computing (4 papers)
- Journals
- SIAM Journal on Numerical AnalysisIEEE Transactions on Mobile ComputingEngineering Applications of Artificial Intelligence
- Partner nations
- United StatesMexicoChina
In The Last Decade
Zheng Zhan
21 papers receiving 165 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 83
- Artificial Intelligence 66
- Electrical and Electronic Engineering 43
- Computer Networks and Communications 28
- Signal Processing 18
Countries citing papers authored by Zheng Zhan
This map shows the geographic impact of Zheng Zhan'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 Zheng Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Zhan more than expected).
Fields of papers citing papers by Zheng Zhan
This network shows the impact of papers produced by Zheng Zhan. 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 Zheng Zhan. The network helps show where Zheng Zhan may publish in the future.
Co-authorship network of co-authors of Zheng Zhan
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Zhan. A scholar is included among the top collaborators of Zheng Zhan 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 Zheng Zhan. Zheng Zhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 42 | |
| 13 | 14 | |
| 14 | 15 | |
| 15 | A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. | 2 |
| 16 | 6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | 1 |
| 17 | 13 | |
| 18 | 7 | |
| 19 | 7 | |
| 20 | Effects of Three Heavy Metals on Formation of Aerobic Granular Sludge and Related Population Control | 1 |
About Zheng Zhan
Zheng Zhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 22 papers that have together received 167 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (83 citations), Artificial Intelligence (66 citations) and Signal Processing (18 citations). Zheng Zhan has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Yanzhi Wang, Yifan Gong, Xue Lin, Wei Niu, Bin Ren, Pu Zhao, Geng Yuan, Tianyun Zhang, Tong Jian and Nasim Soltani. Their work appears in journals such as SIAM Journal on Numerical Analysis, IEEE Transactions on Mobile Computing and Engineering Applications of Artificial 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.