Hongji Xu
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Co-authors
- Juan LiHui YuanHao ZhangLiquan ShenJu LiuZheng DongYuhao WangHailiang Xiong
- Topics
- Context-Aware Activity Recognition Systems (15 papers)IoT and Edge/Fog Computing (9 papers)Anomaly Detection Techniques and Applications (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Hongji Xu
41 papers receiving 431 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 235
- Electrical and Electronic Engineering 107
- Artificial Intelligence 91
- Computer Networks and Communications 85
- Biomedical Engineering 68
Countries citing papers authored by Hongji Xu
This map shows the geographic impact of Hongji Xu'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 Hongji Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongji Xu more than expected).
Fields of papers citing papers by Hongji Xu
This network shows the impact of papers produced by Hongji Xu. 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 Hongji Xu. The network helps show where Hongji Xu may publish in the future.
Co-authorship network of co-authors of Hongji Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Hongji Xu. A scholar is included among the top collaborators of Hongji Xu 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 Hongji Xu. Hongji Xu 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 39 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 22 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 28 | |
| 14 | 66 | |
| 15 | A Static Gesture Recognition Method Based on Improved SURF Algorithm and Bayesian Regularization BP Neural Network | 4 |
| 16 | 13 | |
| 17 | 86 | |
| 18 | 19 | |
| 19 | 9 | |
| 20 | ICA based blind detection scheme in space-time block coding communications | 2 |
About Hongji Xu
Hongji Xu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 45 papers that have together received 443 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (15 papers), IoT and Edge/Fog Computing (9 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (235 citations), Signal Processing (49 citations) and Computer Networks and Communications (85 citations). Hongji Xu has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Juan Li, Hui Yuan, Hao Zhang, Liquan Shen, Ju Liu, Zheng Dong, Yuhao Wang, Hailiang Xiong, Wei Liu and Zhibin Li. Their work appears in journals such as IEEE Access, IEEE Transactions on Communications and Information Sciences.
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.