Yunlu Wang
- Materials Chemistry
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Topics
- Advanced Steganography and Watermarking Techniques (8 papers)Graphene research and applications (6 papers)Digital Media Forensic Detection (6 papers)
- Cited by
- Materials ChemistryRenewable Energy, Sustainability and the EnvironmentElectronic, Optical and Magnetic Materials
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Yunlu Wang
21 papers receiving 367 citations
Peers
Comparison fields: 5 of 61
- Materials Chemistry 263
- Electrical and Electronic Engineering 93
- Renewable Energy, Sustainability and the Environment 87
- Biomedical Engineering 61
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Yunlu Wang
This map shows the geographic impact of Yunlu 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 Yunlu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunlu Wang more than expected).
Fields of papers citing papers by Yunlu Wang
This network shows the impact of papers produced by Yunlu 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 Yunlu Wang. The network helps show where Yunlu Wang may publish in the future.
Co-authorship network of co-authors of Yunlu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yunlu Wang. A scholar is included among the top collaborators of Yunlu 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 Yunlu Wang. Yunlu 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 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 47 | |
| 9 | 31 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 23 | |
| 15 | 6 | |
| 16 | 151 | |
| 17 | 3 | |
| 18 | An information hiding method in binary images based on embedding matrix | 0 |
| 19 | Research on Reversible Covert Communication Based on Integer Transform | 0 |
| 20 | Review on the Centennial Study of Middle Ancient Chinese Vocabulary | 1 |
About Yunlu Wang
Yunlu Wang is a scholar working on General Engineering, Computer Vision and Pattern Recognition and Urban Studies, having authored 25 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (8 papers), Graphene research and applications (6 papers) and Digital Media Forensic Detection (6 papers). The work is most often cited by research in Materials Chemistry (263 citations), Renewable Energy, Sustainability and the Environment (87 citations) and Electronic, Optical and Magnetic Materials (45 citations). Yunlu Wang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Fang Wu, Yunfei Liu, Erjun Kan, Dingfeng Shen, Xuewei Zhang, Xia Yang, Pei Zhao, Xu Chen, Miao Wang and Hongtao Wang. Their work appears in journals such as ACS Nano, Carbon and The Journal of Physical Chemistry 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.