Yanfang Ye
- Signal Processing top 0.2%
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Software top 1%
- Topics
- Advanced Malware Detection Techniques (35 papers)Network Security and Intrusion Detection (33 papers)Spam and Phishing Detection (14 papers)
- Journals
- Expert Systems with ApplicationsACM Computing SurveysIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yanfang Ye
59 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Signal Processing 1.7k
- Computer Networks and Communications 1.5k
- Artificial Intelligence 957
- Information Systems 949
- Software 300
Countries citing papers authored by Yanfang Ye
This map shows the geographic impact of Yanfang Ye'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 Yanfang Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanfang Ye more than expected).
Fields of papers citing papers by Yanfang Ye
This network shows the impact of papers produced by Yanfang Ye. 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 Yanfang Ye. The network helps show where Yanfang Ye may publish in the future.
Co-authorship network of co-authors of Yanfang Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Yanfang Ye. A scholar is included among the top collaborators of Yanfang Ye 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 Yanfang Ye. Yanfang Ye 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 | 5 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 30 | |
| 8 | Enhancing Deep Neural Networks Against Adversarial Malware Examples. | 5 |
| 9 | 10 | |
| 10 | 3 | |
| 11 | Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter. | 5 |
| 12 | 15 | |
| 13 | A Survey on Malware Detection Using Data Mining Techniquesbreakdown → | 413 |
| 14 | 11 | |
| 15 | 18 | |
| 16 | 111 | |
| 17 | 17 | |
| 18 | Blind Separation of Image Based on ICA | 1 |
| 19 | 5 | |
| 20 | 130 |
About Yanfang Ye
Yanfang Ye is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (35 papers), Network Security and Intrusion Detection (33 papers) and Spam and Phishing Detection (14 papers). The work is most often cited by research in Signal Processing (1.7k citations), Software (300 citations) and Computer Networks and Communications (1.5k citations). Yanfang Ye has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Tao Li, Shifu Hou, S. S. Iyengar, Donald Adjeroh, Lingwei Chen, Qingshan Jiang, Lifei Chen, Yujie Fan, Dingding Wang and YE Dong-yi. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys 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.