Haifeng Liu
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Co-authors
- Deng CaiXuelong LiDan DengYu ZhuZiyu GuanBeidou WangFeng XiaJi-Rong Wen
- Topics
- Recommender Systems and Techniques (16 papers)Advanced Image and Video Retrieval Techniques (8 papers)Data Mining Algorithms and Applications (7 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Haifeng Liu
67 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 963
- Information Systems 956
- Computer Vision and Pattern Recognition 855
- Computer Networks and Communications 404
- Signal Processing 315
Countries citing papers authored by Haifeng Liu
This map shows the geographic impact of Haifeng Liu'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 Haifeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Liu more than expected).
Fields of papers citing papers by Haifeng Liu
This network shows the impact of papers produced by Haifeng Liu. 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 Haifeng Liu. The network helps show where Haifeng Liu may publish in the future.
Co-authorship network of co-authors of Haifeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Haifeng Liu. A scholar is included among the top collaborators of Haifeng Liu 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 Haifeng Liu. Haifeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | A Review of Android Malware Detection Approaches Based on Machine Learningbreakdown → | 208 |
| 8 | 1 | |
| 9 | 11 | |
| 10 | Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. | 2 |
| 11 | 8 | |
| 12 | 66 | |
| 13 | 14 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 9 | |
| 18 | 44 | |
| 19 | 29 | |
| 20 | 11 |
About Haifeng Liu
Haifeng Liu is a scholar working on Computational Mathematics, Information Systems and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Data Mining Algorithms and Applications (7 papers). The work is most often cited by research in Information Systems (956 citations), Computer Vision and Pattern Recognition (855 citations) and Media Technology (305 citations). Haifeng Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Deng Cai, Xuelong Li, Dan Deng, Yu Zhu, Ziyu Guan, Beidou Wang, Feng Xia, Ji-Rong Wen, Wei‐Ying Ma and Ruihua Song. Their work appears in journals such as IEEE Transactions on Automatic Control, 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.