Fariza Sabrina

1.9k citations
55 papers · 1.1k indexed · 2 hit papers · h-index 16
Topics
Network Security and Intrusion Detection (16 papers)Anomaly Detection Techniques and Applications (16 papers)Network Traffic and Congestion Control (14 papers)

In The Last Decade

Fariza Sabrina

53 papers receiving 1.0k citations

Hit Papers

IGRF-RFE: a hybrid feature selection method for MLP-based...20232026202420252023202350100150

Peers

Fariza Sabrina
Comparison fields: 5 of 106
  • Computer Networks and Communications 623
  • Artificial Intelligence 566
  • Signal Processing 321
  • Information Systems 158
  • Electrical and Electronic Engineering 111
Replace Hadis Karimipour with:
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Xiao Chen China
Harsha Kalutarage United Kingdom
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Amin Shahraki Norway
Riaz Ahmed Shaikh China
Sema Oktuğ Türkiye
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Fariza Sabrina relative to Hadis Karimipour Canada Hadis Karimipour's profile →
Citations per field
00.5×1.5×
Hadis Karimipour · 1×
Citations per year

Countries citing papers authored by Fariza Sabrina

Since Specialization
Citations

This map shows the geographic impact of Fariza Sabrina'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 Fariza Sabrina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fariza Sabrina more than expected).

Fields of papers citing papers by Fariza Sabrina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fariza Sabrina. 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 Fariza Sabrina. The network helps show where Fariza Sabrina may publish in the future.

Co-authorship network of co-authors of Fariza Sabrina

This figure shows the co-authorship network connecting the top 25 collaborators of Fariza Sabrina. A scholar is included among the top collaborators of Fariza Sabrina 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 Fariza Sabrina. Fariza Sabrina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 4
4 1
5 0
6 2
7
LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Databreakdown →
125
8 3
9 52
10
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 datasetbreakdown →
179
11 52
12 2
13 27
14 11
15 28
16 111
17 142
18 15
19 5
20 0

About Fariza Sabrina

Fariza Sabrina is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (16 papers), Anomaly Detection Techniques and Applications (16 papers) and Network Traffic and Congestion Control (14 papers). The work is most often cited by research in Signal Processing (321 citations), Computer Networks and Communications (623 citations) and Artificial Intelligence (566 citations). Fariza Sabrina has collaborated with scholars based in Australia, New Zealand and South Korea. Frequent co-authors include Julian Jang‐Jaccard, Wen Xu, Yuanyuan Wei, Amardeep Singh, Seyit Camtepe, Shaleeza Sohail, Jin Kwak, Salahuddin Azad, Jinting Zhu and Mikael Boulic. Their work appears in journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

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.

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