Shijie Hao
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Co-authors
- Yanrong GuoMeng WangYuan ZhouWeijie FuXindong WuRichang HongXu HanXin Xu
- Topics
- Image Enhancement Techniques (20 papers)Advanced Image and Video Retrieval Techniques (14 papers)Advanced Vision and Imaging (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shijie Hao
61 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 524
- Media Technology 351
- Control and Systems Engineering 179
- Mechanical Engineering 133
Countries citing papers authored by Shijie Hao
This map shows the geographic impact of Shijie Hao'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 Shijie Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijie Hao more than expected).
Fields of papers citing papers by Shijie Hao
This network shows the impact of papers produced by Shijie Hao. 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 Shijie Hao. The network helps show where Shijie Hao may publish in the future.
Co-authorship network of co-authors of Shijie Hao
This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Hao. A scholar is included among the top collaborators of Shijie Hao 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 Shijie Hao. Shijie Hao 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 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 52 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 80 | |
| 13 | A Brief Survey on Semantic Segmentation with Deep Learningbreakdown → | 369 |
| 14 | Bi-direction Context Propagation Network for Real-time Semantic Segmentation. | 6 |
| 15 | 6 | |
| 16 | 104 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 2 |
About Shijie Hao
Shijie Hao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image Enhancement Techniques (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Advanced Vision and Imaging (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (351 citations) and Artificial Intelligence (524 citations). Shijie Hao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanrong Guo, Meng Wang, Yuan Zhou, Weijie Fu, Xindong Wu, Richang Hong, Xu Han, Xin Xu, Feng‐Xiang Ge and Yanmiao Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.