Xin Zhan
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Artificial Intelligence
- Media Technology top 5%
- Co-authors
- Yu-Huan WuYun LiuMing‐Ming ChengDong YinRong ZhangLanghong LouJiasheng DongHongyu Pan
- Topics
- High Temperature Alloys and Creep (7 papers)High-Temperature Coating Behaviors (5 papers)Sparse and Compressive Sensing Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceChemical Engineering JournalInternational Journal of Hydrogen Energy
- Partner nations
- ChinaCayman IslandsIndia
In The Last Decade
Xin Zhan
20 papers receiving 442 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 244
- Aerospace Engineering 126
- Mechanical Engineering 78
- Artificial Intelligence 66
- Media Technology 62
Countries citing papers authored by Xin Zhan
This map shows the geographic impact of Xin 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 Xin Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Zhan more than expected).
Fields of papers citing papers by Xin Zhan
This network shows the impact of papers produced by Xin 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 Xin Zhan. The network helps show where Xin Zhan may publish in the future.
Co-authorship network of co-authors of Xin Zhan
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Zhan. A scholar is included among the top collaborators of Xin 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 Xin Zhan. Xin 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 12 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 26 | |
| 12 | 24 | |
| 13 | P2T: Pyramid Pooling Transformer for Scene Understandingbreakdown → | 205 |
| 14 | 34 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 8 | |
| 18 | 41 | |
| 19 | 4 | |
| 20 | 4 |
About Xin Zhan
Xin Zhan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Energy Engineering and Power Technology, having authored 22 papers that have together received 460 indexed citations. Recurring topics across this work include High Temperature Alloys and Creep (7 papers), High-Temperature Coating Behaviors (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Media Technology (62 citations) and Aerospace Engineering (126 citations). Xin Zhan has collaborated with scholars based in China, Cayman Islands and India. Frequent co-authors include Yu-Huan Wu, Yun Liu, Ming‐Ming Cheng, Dong Yin, Rong Zhang, Langhong Lou, Jiasheng Dong, Hongyu Pan, Kaixuan Liu and Yan Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Journal and International Journal of Hydrogen 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.