Yuhong Nan
- Information Systems top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Co-authors
- Zhemin YangMin YangYuan ZhangZibin ZhengGuofei GuShunfan ZhouXiaoFeng WangXiao Chen
- Topics
- Advanced Malware Detection Techniques (17 papers)Blockchain Technology Applications and Security (9 papers)Digital and Cyber Forensics (6 papers)
- Journals
- IEEE Transactions on Software EngineeringIEEE Internet of Things JournalIEEE Transactions on Information Forensics and Security
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuhong Nan
23 papers receiving 354 citations
Peers
Comparison fields: 5 of 31
- Information Systems 245
- Signal Processing 233
- Computer Networks and Communications 133
- Artificial Intelligence 114
- Sociology and Political Science 41
Countries citing papers authored by Yuhong Nan
This map shows the geographic impact of Yuhong Nan'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 Yuhong Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhong Nan more than expected).
Fields of papers citing papers by Yuhong Nan
This network shows the impact of papers produced by Yuhong Nan. 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 Yuhong Nan. The network helps show where Yuhong Nan may publish in the future.
Co-authorship network of co-authors of Yuhong Nan
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhong Nan. A scholar is included among the top collaborators of Yuhong Nan 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 Yuhong Nan. Yuhong Nan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | {ATLAS}: A Sequence-based Learning Approach for Attack Investigation | 39 |
| 16 | 18 | |
| 17 | BLESA: Spoofing Attacks against Reconnections in Bluetooth Low Energy. | 14 |
| 18 | 83 | |
| 19 | 15 | |
| 20 | UIPicker: user-input privacy identification in mobile applications | 66 |
About Yuhong Nan
Yuhong Nan is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 28 papers that have together received 368 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (17 papers), Blockchain Technology Applications and Security (9 papers) and Digital and Cyber Forensics (6 papers). The work is most often cited by research in Signal Processing (233 citations), Information Systems (245 citations) and Software (40 citations). Yuhong Nan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhemin Yang, Min Yang, Yuan Zhang, Zibin Zheng, Guofei Gu, Shunfan Zhou, XiaoFeng Wang, Xiao Chen, Zhiyun Qian and Dongyan Xu. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Internet of Things Journal and IEEE Transactions on Information Forensics and Security.
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.