Nour Eldeen M. Khalifa

3.6k citations
33 papers · 2.0k indexed · 4 hit papers · h-index 16
Topics
COVID-19 diagnosis using AI (10 papers)AI in cancer detection (6 papers)Face recognition and analysis (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
Partner nations
EgyptUnited StatesTaiwan

In The Last Decade

Nour Eldeen M. Khalifa

30 papers receiving 2.0k citations

Hit Papers

A hybrid deep transfer learning model with machine learni...20202026202220242020202020202021100200300400

Peers

Nour Eldeen M. Khalifa
Comparison fields: 5 of 150
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Computer Vision and Pattern Recognition 817
  • Artificial Intelligence 699
  • Pulmonary and Respiratory Medicine 203
  • Health Informatics 149
Replace Mohamed Loey with:
Mohamed Loey Egypt
Zafer Cömert Türkiye
Mesut Toğaçar Türkiye
Yutong Xie China
Burhan Ergen Türkiye
Soumya Ranjan Nayak India
Tanveer Syeda-Mahmood United States
Hazrat Ali Pakistan
Mohamed Hamed N. Taha Egypt
P. K. Gupta India
Nour Eldeen M. Khalifa relative to Mohamed Loey Egypt Mohamed Loey's profile →
Citations per field
00.5×1.5×
Mohamed Loey · 1×
Citations per year

Countries citing papers authored by Nour Eldeen M. Khalifa

Since Specialization
Citations

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

Fields of papers citing papers by Nour Eldeen M. Khalifa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nour Eldeen M. Khalifa. 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 Nour Eldeen M. Khalifa. The network helps show where Nour Eldeen M. Khalifa may publish in the future.

Co-authorship network of co-authors of Nour Eldeen M. Khalifa

This figure shows the co-authorship network connecting the top 25 collaborators of Nour Eldeen M. Khalifa. A scholar is included among the top collaborators of Nour Eldeen M. Khalifa 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 Nour Eldeen M. Khalifa. Nour Eldeen M. Khalifa 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 9
2 0
3 1
4 0
5 0
6 2
7 2
8 2
9 33
10 1
11
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemicbreakdown →
457
12
Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detectionbreakdown →
322
13 207
14 18
15 23
16 91
17 39
18 2
19
A Secure Energy Efficient Schema for Wireless Multimedia Sensor Networks
2
20
A Secure Energy Mechanism for WSN and Its Implementation in NS-2
1

About Nour Eldeen M. Khalifa

Nour Eldeen M. Khalifa is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (10 papers), AI in cancer detection (6 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Health Informatics (149 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Computer Vision and Pattern Recognition (817 citations). Nour Eldeen M. Khalifa has collaborated with scholars based in Egypt, United States and Taiwan. Frequent co-authors include Mohamed Loey, Mohamed Hamed N. Taha, Gunasekaran Manogaran, Florentín Smarandache, Seyedali Mirjalili, Aboul Ella Hassanien, Adam Słowik, Dalia Ezzat, Roheet Bhatnagar and Hazem M. El‐Bakry. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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