Zhenfei Wang
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Topics
- Advanced Vision and Imaging (5 papers)Energy Efficient Wireless Sensor Networks (5 papers)Artificial Intelligence in Healthcare (4 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Zhenfei Wang
51 papers receiving 426 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 129
- Health Information Management 90
- Computer Networks and Communications 85
- Computer Vision and Pattern Recognition 66
- Information Systems 61
Countries citing papers authored by Zhenfei Wang
This map shows the geographic impact of Zhenfei 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 Zhenfei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenfei Wang more than expected).
Fields of papers citing papers by Zhenfei Wang
This network shows the impact of papers produced by Zhenfei 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 Zhenfei Wang. The network helps show where Zhenfei Wang may publish in the future.
Co-authorship network of co-authors of Zhenfei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenfei Wang. A scholar is included among the top collaborators of Zhenfei 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 Zhenfei Wang. Zhenfei 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 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 11 | |
| 15 | 97 | |
| 16 | 6 | |
| 17 | DMGR: a Multipath Geographic Routing Strategy with the On-demand Mobile Sink in WSN. | 3 |
| 18 | Study on Object Segmentation of Airplane Image Based on an Edge-Based Region Growing Method | 0 |
| 19 | Digital Watermarking Algorithm Based on Neural Network in Multiwavelet Domain | 2 |
| 20 | New Improvement of Set Partitioning in Hierarchical Trees (SPIHT) Algorithm | 1 |
About Zhenfei Wang
Zhenfei Wang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Health Information Management, having authored 56 papers that have together received 444 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Information Management (90 citations), Health Informatics (15 citations) and Artificial Intelligence (129 citations). Zhenfei Wang has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Zhiyun Zheng, Liying Zhang, Chongjian Wang, Miaomiao Niu, Yikang Wang, Liying Zhang, Dun Li, Kun Yang, Baochang Shi and Junfeng Wang. Their work appears in journals such as PLoS ONE, Scientific Reports 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.