Asra Aslam

1.4k citations
16 papers · 868 · 1 hit paper · h-index 6

Impact in

    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
  • Neurology top 10%
    • Brain Tumor Detection and Classification

Papers in

Asra Aslam

15 papers receiving 833 citations

Asra Aslam's Hit Papers

A survey of modern deep learning based object detection models 2022 · 626 citations
6260+1+2Years since publication200400600

Peers

Asra Aslam
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 497
  • Neurology 93
  • Media Technology 79
  • Industrial and Manufacturing Engineering 86
  • Artificial Intelligence 155
Replace Hanaa ZainEldin with:
Hanaa ZainEldin Egypt
Shoubhik Debnath United States
Guanglu Song China
Xiongwei Wu China
Chirag Patel India
Zhuang Liu China
Shilong Liu China
Thangarajah Akilan Canada
Qijie Zhao China
S. A. R. Abu–Bakar Malaysia
Asra Aslam relative to Hanaa ZainEldin Egypt Hanaa ZainEldin's profile →
Citations per field
00.5×3.9×
Hanaa ZainEldin · 1×
Citations per year

Countries citing papers authored by Asra Aslam

Since Specialization
Citations

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

Fields of papers citing papers by Asra Aslam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Asra Aslam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Asra Aslam Line = papers co-authored together Asra Aslam links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
A survey of modern deep learning based object detection models
Hit paper breakdown →
2022626
2 2015122
3 202042
4 201828
5 202213
6 20247
7 20175
8 20214
9 20204
10 20154
11 20224
12 20204
13 20213
14 20251
15 20241
16 20250

About Asra Aslam

Asra Aslam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Family Practice and Microbiology, having authored 16 papers that have together received 868 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers), IoT and Edge/Fog Computing (2 papers), Image Enhancement Techniques (2 papers), AI in cancer detection (2 papers), Medical Image Segmentation Techniques (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (497 citations), Neurology (93 citations), Media Technology (79 citations), Industrial and Manufacturing Engineering (86 citations) and Artificial Intelligence (155 citations). Asra Aslam has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Nadia Kanwal, Mamoona Naveed Asghar, Mohd. Samar Ansari, Brian Lee, Ekram Khan, M. M. Sufyan Beg, Edward Curry, Souleiman Hasan, Norbert Hosten and Ramachandran S. Vasan. Their work appears in journals such as Journal of Alzheimer s Disease, Image and Vision Computing, Alzheimer s & Dementia, Cancer Epidemiology Biomarkers & Prevention and Multimedia Tools and Applications.

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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