Zhihua Wang
- Environmental Engineering top 1%
- Geology top 0.5%
- Computational Mechanics top 1%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Topics
- 3D Shape Modeling and Analysis (3 papers)Wireless Power Transfer Systems (2 papers)Human Pose and Action Recognition (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Industrial ElectronicsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United KingdomChinaMalaysia
In The Last Decade
Zhihua Wang
8 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Environmental Engineering 803
- Geology 802
- Computational Mechanics 797
- Computer Vision and Pattern Recognition 546
- Aerospace Engineering 272
Countries citing papers authored by Zhihua Wang
This map shows the geographic impact of Zhihua 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 Zhihua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihua Wang more than expected).
Fields of papers citing papers by Zhihua Wang
This network shows the impact of papers produced by Zhihua 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 Zhihua Wang. The network helps show where Zhihua Wang may publish in the future.
Co-authorship network of co-authors of Zhihua Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhihua Wang. A scholar is included among the top collaborators of Zhihua 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 Zhihua Wang. Zhihua 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 | Learning Semantic Segmentation of Large-Scale Point Clouds with Random Samplingbreakdown → | 157 |
| 2 | RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Cloudsbreakdown → | 1288 |
| 3 | 33 | |
| 4 | 24 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | Using web crawler technology to support design-related web information collection in idea generation | 2 |
About Zhihua Wang
Zhihua Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (3 papers), Wireless Power Transfer Systems (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Geology (802 citations), Environmental Engineering (803 citations) and Computer Graphics and Computer-Aided Design (182 citations). Zhihua Wang has collaborated with scholars based in United Kingdom, China and Malaysia. Frequent co-authors include Andrew Markham, Niki Trigoni, Linhai Xie, Stefano Rosa, Bo Yang, Qingyong Hu, Yulan Guo, Sen Wang, Phil Blunsom and Changhao Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Transactions on Neural Networks and Learning Systems.
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.