Zhengjue Wang
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Biomedical Engineering
- Co-authors
- Bo ChenHao ZhangHongwei LiuRuiying LuPramod K. VarshneyZiheng ChengXin YuanMingyuan Zhou
- Topics
- Topic Modeling (7 papers)Multimodal Machine Learning Applications (7 papers)Image and Signal Denoising Methods (5 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingIEEE Transactions on Cybernetics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhengjue Wang
21 papers receiving 349 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 189
- Media Technology 126
- Artificial Intelligence 101
- Computational Mechanics 81
- Biomedical Engineering 51
Countries citing papers authored by Zhengjue Wang
This map shows the geographic impact of Zhengjue Wang'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 Zhengjue Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengjue Wang more than expected).
Fields of papers citing papers by Zhengjue Wang
This network shows the impact of papers produced by Zhengjue Wang. 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 Zhengjue Wang. The network helps show where Zhengjue Wang may publish in the future.
Co-authorship network of co-authors of Zhengjue Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengjue Wang. A scholar is included among the top collaborators of Zhengjue Wang 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 Zhengjue Wang. Zhengjue Wang 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 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 43 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 43 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | 25 | |
| 17 | 95 | |
| 18 | Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network | 5 |
| 19 | Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification. | 12 |
| 20 | Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling | 4 |
About Zhengjue Wang
Zhengjue Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 24 papers that have together received 361 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Multimodal Machine Learning Applications (7 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Media Technology (126 citations), Computer Vision and Pattern Recognition (189 citations) and Computational Mechanics (81 citations). Zhengjue Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bo Chen, Hao Zhang, Hongwei Liu, Ruiying Lu, Pramod K. Varshney, Ziheng Cheng, Xin Yuan, Mingyuan Zhou, Hao Zhang and Guanliang Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.
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.