Qianhong Wu
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Josep Domingo‐FerrerBo QinLei ZhangJianwei LiuPeng XuWei WangHai JinZhenyu Guan
- Topics
- Cryptography and Data Security (112 papers)Privacy-Preserving Technologies in Data (56 papers)Blockchain Technology Applications and Security (53 papers)
In The Last Decade
Qianhong Wu
181 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 2.6k
- Information Systems 2.2k
- Computer Networks and Communications 1.6k
- Electrical and Electronic Engineering 1.1k
- Computer Vision and Pattern Recognition 371
Countries citing papers authored by Qianhong Wu
This map shows the geographic impact of Qianhong Wu'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 Qianhong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianhong Wu more than expected).
Fields of papers citing papers by Qianhong Wu
This network shows the impact of papers produced by Qianhong Wu. 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 Qianhong Wu. The network helps show where Qianhong Wu may publish in the future.
Co-authorship network of co-authors of Qianhong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qianhong Wu. A scholar is included among the top collaborators of Qianhong Wu 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 Qianhong Wu. Qianhong Wu 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 50 | |
| 7 | 25 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 79 | |
| 14 | 15 | |
| 15 | 21 | |
| 16 | HIBGE: Monitorable and Traceable Anonymous Encryption in Cloud Computing | 1 |
| 17 | 4 | |
| 18 | 18 | |
| 19 | Assessment on heavy metals contamination in sediments of Changsha—Zhuzhou—Xiangtan section of Xiangjiang River | 7 |
| 20 | Present Situation Evaluation and Research of Ecological Environment Based on GIS | 1 |
About Qianhong Wu
Qianhong Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 193 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (112 papers), Privacy-Preserving Technologies in Data (56 papers) and Blockchain Technology Applications and Security (53 papers). The work is most often cited by research in Information Systems (2.2k citations), Artificial Intelligence (2.6k citations) and Computer Networks and Communications (1.6k citations). Qianhong Wu has collaborated with scholars based in China, Australia and Spain. Frequent co-authors include Josep Domingo‐Ferrer, Bo Qin, Lei Zhang, Jianwei Liu, Peng Xu, Wei Wang, Hai Jin, Zhenyu Guan, Agustí Solanas and Hua Deng. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Access and IEEE Journal on Selected Areas in Communications.
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.