Furqan Rustam
Furqan Rustam publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Sentiment Analysis and Opinion Mining, Network Security and Intrusion Detection and Spam and Phishing Detection.
- World rank
- #15,027 of 7,710,434 ranked researchers
- Rank in South Korea
- #41 of 162,609
- Works
- 152
- Citations
- 6.6k
- Citations per work
- 43.2
What does Furqan Rustam research?
Furqan Rustam's work is mostly in Computer Science (46%), Social Sciences (5%), Engineering (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences7650.0%
- Computer Science7046.1%
- Engineering63.9%
- Everything else6341.5%
- Social Sciences74.6%
- Social Sciences74.6%
- Health Sciences63.9%
- Medicine63.9%
- 1Artificial Intelligence28% of their works
- 2Information Systems11% of their works
- 3Computer Networks and Communications7% of their works
- 4Sociology and Political Science5% of their works
- 5Radiology, Nuclear Medicine and Imaging4% of their works
- 6Biomedical Engineering4% of their works
Research topics
- Sentiment Analysis and Opinion Mining
- Network Security and Intrusion Detection
- Spam and Phishing Detection
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Advanced Malware Detection Techniques
- Artificial Intelligence in Healthcare
- Internet Traffic Analysis and Secure E-voting
Which keywords describe Furqan Rustam's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Anomaly Detection, IoT Security, Data Mining, Behavioral Analysis, Opinion Mining and Sentiment Analysis.
- Encrypted Traffic
- Big Data Analytics
- Imbalanced Data
- Android Malware
- Outlier Detection
- Phishing
- Intrusion Detection
- Sentiment Analysis
- Behavioral Analysis
- IoT Security
- Deep Learning
- Machine Learning
- Anomaly Detection
- Data Mining
- Opinion Mining
- Classification
- Network Security
- Spam Detection
- Unsupervised
- Detection
- SMOTE
- Healthcare
- Internet Traffic
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 23 words, with their numbers
- Machine Learning1066 topics
- Deep Learning895 topics
- Anomaly Detection362 topics
- IoT Security352 topics
- Data Mining342 topics
- Behavioral Analysis332 topics
- Opinion Mining271 topic
- Sentiment Analysis271 topic
- Classification262 topics
- Intrusion Detection211 topic
- Network Security211 topic
- Phishing191 topic
- Spam Detection191 topic
- Outlier Detection151 topic
- Unsupervised151 topic
- Android Malware141 topic
- Detection141 topic
- Imbalanced Data141 topic
- SMOTE141 topic
- Big Data Analytics131 topic
- Healthcare131 topic
- Encrypted Traffic121 topic
- Internet Traffic121 topic
Where does Furqan Rustam work?
Furqan Rustam's main affiliation in the publication record is Yeungnam University, South Korea.
How many publications and citations does Furqan Rustam have?
OpenAlex counts 152 works and 6,559 citations for Furqan Rustam, an h-index of 46, ranking #15,027 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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