Jiaming Zhang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Aerospace Engineering
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Kailun YangRainer StiefelhagenXinxin HuHuayao LiuRuiping LiuKunyu PengAlina RoitbergKarin Müller
- Topics
- Advanced Neural Network Applications (8 papers)Video Surveillance and Tracking Methods (5 papers)Autonomous Vehicle Technology and Safety (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- Applied Catalysis B: EnvironmentalIEEE Transactions on Image ProcessingIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Jiaming Zhang
13 papers receiving 534 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 389
- Artificial Intelligence 97
- Media Technology 81
- Aerospace Engineering 78
- Industrial and Manufacturing Engineering 68
Countries citing papers authored by Jiaming Zhang
This map shows the geographic impact of Jiaming Zhang'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 Jiaming Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Zhang more than expected).
Fields of papers citing papers by Jiaming Zhang
This network shows the impact of papers produced by Jiaming Zhang. 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 Jiaming Zhang. The network helps show where Jiaming Zhang may publish in the future.
Co-authorship network of co-authors of Jiaming Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Zhang. A scholar is included among the top collaborators of Jiaming Zhang 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 Jiaming Zhang. Jiaming Zhang 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 | 2 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 30 | |
| 10 | CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformersbreakdown → | 311 |
| 11 | 2 | |
| 12 | 45 | |
| 13 | 64 | |
| 14 | 7 | |
| 15 | 35 | |
| 16 | 22 |
About Jiaming Zhang
Jiaming Zhang is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Automotive Engineering, having authored 16 papers that have together received 543 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Video Surveillance and Tracking Methods (5 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Media Technology (81 citations) and Industrial and Manufacturing Engineering (68 citations). Jiaming Zhang has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Kailun Yang, Rainer Stiefelhagen, Xinxin Hu, Huayao Liu, Ruiping Liu, Kunyu Peng, Alina Roitberg, Karin Müller, Christoph Stiller and Philipp Heidenreich. Their work appears in journals such as Applied Catalysis B: Environmental, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.
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.