Hongfeng Tao
- Control and Systems Engineering top 1%
- Mechanical Engineering top 5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Co-authors
- Vladimir StojanovićWojciech PaszkeYiyang ChenZhihe ZhuangJier QiuHuizhong YangPeng WangEric Rogers
- Topics
- Iterative Learning Control Systems (40 papers)Piezoelectric Actuators and Control (22 papers)Fault Detection and Control Systems (19 papers)
In The Last Decade
Hongfeng Tao
68 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Control and Systems Engineering 1.2k
- Mechanical Engineering 526
- Artificial Intelligence 523
- Computer Vision and Pattern Recognition 413
- Electrical and Electronic Engineering 226
Countries citing papers authored by Hongfeng Tao
This map shows the geographic impact of Hongfeng Tao'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 Hongfeng Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongfeng Tao more than expected).
Fields of papers citing papers by Hongfeng Tao
This network shows the impact of papers produced by Hongfeng Tao. 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 Hongfeng Tao. The network helps show where Hongfeng Tao may publish in the future.
Co-authorship network of co-authors of Hongfeng Tao
This figure shows the co-authorship network connecting the top 25 collaborators of Hongfeng Tao. A scholar is included among the top collaborators of Hongfeng Tao 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 Hongfeng Tao. Hongfeng Tao 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 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 36 | |
| 7 | Enhanced feature extraction YOLO industrial small object detection algorithm based on receptive-field attention and multi-scale featuresbreakdown → | 50 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 70 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 81 | |
| 17 | 1 | |
| 18 | Few shot cross equipment fault diagnosis method based on parameter optimization and feature merticbreakdown → | 132 |
| 19 | 82 | |
| 20 | Forgetting Learning Algorithm with Batches for Iterative Tracking Control of Nonlinear Systems | 0 |
About Hongfeng Tao
Hongfeng Tao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (40 papers), Piezoelectric Actuators and Control (22 papers) and Fault Detection and Control Systems (19 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Computer Vision and Pattern Recognition (413 citations) and Industrial and Manufacturing Engineering (180 citations). Hongfeng Tao has collaborated with scholars based in China, Poland and Serbia. Frequent co-authors include Vladimir Stojanović, Wojciech Paszke, Yiyang Chen, Zhihe Zhuang, Jier Qiu, Huizhong Yang, Huizhong Yang, Peng Wang, Eric Rogers and Yawei Sun. Their work appears in journals such as IEEE Access, Journal of the Franklin Institute and Neural Networks.
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.