Wei Wang
- Computer Vision and Pattern Recognition top 0.5%
- Biomedical Engineering top 2%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Civil and Structural Engineering top 2%
- Co-authors
- Liang WangY. DuYan HuangYizhou WangYushi LiuMingzhi WangYu ZhangRui Xin Huang
- Topics
- Perovskite Materials and Applications (17 papers)Conducting polymers and applications (16 papers)Smart Materials for Construction (15 papers)
- Cited by
- Nuclear Energy and EngineeringHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Wang
303 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Computer Vision and Pattern Recognition 1.5k
- Biomedical Engineering 1.1k
- Artificial Intelligence 869
- Electrical and Electronic Engineering 695
- Civil and Structural Engineering 688
Countries citing papers authored by Wei Wang
This map shows the geographic impact of Wei 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 Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wang more than expected).
Fields of papers citing papers by Wei Wang
This network shows the impact of papers produced by Wei 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 Wei Wang. The network helps show where Wei Wang may publish in the future.
Co-authorship network of co-authors of Wei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wang. A scholar is included among the top collaborators of Wei 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 Wei Wang. Wei 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 | 3 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 40 | |
| 17 | 35 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 2 |
About Wei Wang
Wei Wang is a scholar working on Nuclear Energy and Engineering, Pollution and Civil and Structural Engineering, having authored 358 papers that have together received 5.5k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (17 papers), Conducting polymers and applications (16 papers) and Smart Materials for Construction (15 papers). The work is most often cited by research in Nuclear Energy and Engineering (46 citations), Human-Computer Interaction (406 citations) and Computer Vision and Pattern Recognition (1.5k citations). Wei Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liang Wang, Y. Du, Yan Huang, Yizhou Wang, Yushi Liu, Mingzhi Wang, Yu Zhang, Rui Xin Huang, Zhengguang Zhang and Debin Xia. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.
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.