Zhanglin Peng
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Qiang ZhangShanlin YangPing LuoRuimao ZhangShuangyao ZhaoXiaonong LuXiaoan TangAnning Wang
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Domain Adaptation and Few-Shot Learning (5 papers)Product Development and Customization (5 papers)
- Cited by
- Management Science and Operations ResearchManagement of Technology and InnovationAutomotive Engineering
In The Last Decade
Zhanglin Peng
41 papers receiving 700 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 194
- Management Science and Operations Research 185
- Computer Vision and Pattern Recognition 114
- Automotive Engineering 97
- Electrical and Electronic Engineering 81
Countries citing papers authored by Zhanglin Peng
This map shows the geographic impact of Zhanglin Peng'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 Zhanglin Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanglin Peng more than expected).
Fields of papers citing papers by Zhanglin Peng
This network shows the impact of papers produced by Zhanglin Peng. 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 Zhanglin Peng. The network helps show where Zhanglin Peng may publish in the future.
Co-authorship network of co-authors of Zhanglin Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Zhanglin Peng. A scholar is included among the top collaborators of Zhanglin Peng 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 Zhanglin Peng. Zhanglin Peng 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 | 7 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 20 | |
| 8 | 48 | |
| 9 | 31 | |
| 10 | Differentiable Dynamic Normalization for Learning Deep Representation | 11 |
| 11 | 1 | |
| 12 | 9 | |
| 13 | Understanding Regularization in Batch Normalization | 1 |
| 14 | Differentiable Learning-to-Normalize via Switchable Normalization | 12 |
| 15 | 25 | |
| 16 | Geometric scene parsing with hierarchical LSTM | 1 |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | Detection technique for cathay hickory grade based on machine vision | 2 |
About Zhanglin Peng
Zhanglin Peng is a scholar working on Fuel Technology, Management of Technology and Innovation and Computer Science Applications, having authored 42 papers that have together received 718 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Product Development and Customization (5 papers). The work is most often cited by research in Management Science and Operations Research (185 citations), Management of Technology and Innovation (78 citations) and Automotive Engineering (97 citations). Zhanglin Peng has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Qiang Zhang, Shanlin Yang, Ping Luo, Ruimao Zhang, Shuangyao Zhao, Xiaonong Lu, Xiaoan Tang, Anning Wang, Witold Pedrycz and Jingyu Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Energy.
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.