Zhen Jia
- Computer Vision and Pattern Recognition top 1%
- Industrial and Manufacturing Engineering top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Plant Science
- Co-authors
- Zhang ZhangTieniu TanYifan ZhangWeiqiang RenLiang WangYonggui WangFrédo DurandAleksandar Zlateski
- Topics
- Domain Adaptation and Few-Shot Learning (6 papers)Advanced Neural Network Applications (5 papers)Topic Modeling (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringMedia Technology
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Zhen Jia
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 820
- Industrial and Manufacturing Engineering 263
- Aerospace Engineering 215
- Artificial Intelligence 200
- Plant Science 152
Countries citing papers authored by Zhen Jia
This map shows the geographic impact of Zhen Jia'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 Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Jia more than expected).
Fields of papers citing papers by Zhen Jia
This network shows the impact of papers produced by Zhen Jia. 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 Jia. The network helps show where Zhen Jia may publish in the future.
Co-authorship network of co-authors of Zhen Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Jia. A scholar is included among the top collaborators of Zhen Jia 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 Jia. Zhen Jia 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 | 1 | |
| 3 | 17 | |
| 4 | 12 | |
| 5 | Focal and efficient IOU loss for accurate bounding box regressionbreakdown → | 1177 |
| 6 | 34 | |
| 7 | 35 | |
| 8 | 34 | |
| 9 | 16 | |
| 10 | 34 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Rules-Based Character Attributes Extraction from Baidu Encyclopedia | 2 |
| 19 | 24 | |
| 20 | Performance analysis of seven estimate algorithms about the Hurst coefficient | 4 |
About Zhen Jia
Zhen Jia is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (820 citations), Industrial and Manufacturing Engineering (263 citations) and Media Technology (140 citations). Zhen Jia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhang Zhang, Tieniu Tan, Yifan Zhang, Weiqiang Ren, Liang Wang, Liang Wang, Yonggui Wang, Frédo Durand, Aleksandar Zlateski and Kai Li. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Computing Surveys and Neurocomputing.
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.