Haipeng Wang
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Topics
- IoT and Edge/Fog Computing (7 papers)Remote-Sensing Image Classification (6 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- Journal of Materials Chemistry AIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haipeng Wang
55 papers receiving 538 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 122
- Artificial Intelligence 120
- Aerospace Engineering 101
- Computer Networks and Communications 95
- Electrical and Electronic Engineering 79
Countries citing papers authored by Haipeng Wang
This map shows the geographic impact of Haipeng 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 Haipeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Wang more than expected).
Fields of papers citing papers by Haipeng Wang
This network shows the impact of papers produced by Haipeng 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 Haipeng Wang. The network helps show where Haipeng Wang may publish in the future.
Co-authorship network of co-authors of Haipeng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haipeng Wang. A scholar is included among the top collaborators of Haipeng 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 Haipeng Wang. Haipeng 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | Multi-core Thread Schedule Strategy Based on Thread Pipeline | 1 |
About Haipeng Wang
Haipeng Wang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Medical Laboratory Technology, having authored 61 papers that have together received 566 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Remote-Sensing Image Classification (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Media Technology (59 citations), Signal Processing (66 citations) and Computer Vision and Pattern Recognition (122 citations). Haipeng Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhipeng Lin, Tiejun Lv, You He, Tan Lee, Haizhou Li, Cheung-Chi Leung, Bin Ma, Jie Zeng, Yuxia Zhang and Long Sun. Their work appears in journals such as Journal of Materials Chemistry A, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.