Junge Zhang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Materials Chemistry
- Media Technology top 5%
- Catalysis
- Topics
- Reinforcement Learning in Robotics (14 papers)Domain Adaptation and Few-Shot Learning (10 papers)Multimodal Machine Learning Applications (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junge Zhang
45 papers receiving 775 citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 461
- Artificial Intelligence 332
- Materials Chemistry 65
- Media Technology 58
- Catalysis 45
Countries citing papers authored by Junge Zhang
This map shows the geographic impact of Junge 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 Junge Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junge Zhang more than expected).
Fields of papers citing papers by Junge Zhang
This network shows the impact of papers produced by Junge 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 Junge Zhang. The network helps show where Junge Zhang may publish in the future.
Co-authorship network of co-authors of Junge Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Junge Zhang. A scholar is included among the top collaborators of Junge 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 Junge Zhang. Junge 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 | 3 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | Identification of DTL as Related Biomarker and Immune Infiltration Characteristics of Nasopharyngeal Carcinoma via Comprehensive Strategies | 5 |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 25 | |
| 17 | 169 | |
| 18 | DF 2 Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification | 23 |
| 19 | A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping. | 5 |
| 20 | 19 |
About Junge Zhang
Junge Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Otorhinolaryngology, having authored 55 papers that have together received 795 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (14 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Multimodal Machine Learning Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (461 citations), Artificial Intelligence (332 citations) and Media Technology (58 citations). Junge Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kaiqi Huang, Huikai Wu, Debang Li, Guo-Jun Qi, Zechao Li, Zhimao Peng, Jinhui Tang, Yan Li, Shuai Zheng and Tieniu Tan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.