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Researcher · Chung-Ang University · South Korea

Sareer Ul Amin

Sareer Ul Amin publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection and Adversarial Robustness in Machine Learning.

ORCID 0000-0001-9479-3846 OpenAlex
World rank
#251,175
of 7,710,434 ranked researchers
Rank in South Korea
#1,631
of 162,609
Works
25
Citations
1k
Citations per work
40.9
h-index
15
i10-index 15Top 22% in Artificial Intelligence
Sareer Ul Amin

What does Sareer Ul Amin research?

Sareer Ul Amin's work is mostly in Computer Science (55%), Engineering (8%), Medicine (4%).

Physical Sciences: 16 works · 62.8% of their workComputer Science: 14 works · 55.3% of their workArtificial Intelligence: 6 works · 25.4% of their workComputer Vision and Pattern Recognition: 6 works · 22.4% of their workComputer Networks and Communications: 2 works · 7.5% of their workEngineering: 2 works · 7.5% of their workElectrical and Electronic Engineering: 2 works · 7.5% of their workEverything else: 7 works · 29.7% of their workHealth Sciences: 1 works · 4.5% of their workMedicine: 1 works · 4.5% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.5% of their workLife Sciences: 1 works · 3.0% of their workAgricultural and Biological Sciences: 1 works · 3.0% of their workPlant Science: 1 works · 3.0% of their workTHEIR WORKSareer Ul Amin25works
Life Sciences3%Physical Sciences63%Health Sciences4%

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
    1. Computer Science1455.3%
    2. Engineering27.5%
  2. Everything else729.7%
    1. Medicine14.5%
    1. Agricultural and Biological Sciences13.0%
  1. 1Artificial Intelligence25% of their works
  2. 2Computer Vision and Pattern Recognition22% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Plant Science3% of their works

Research topics

Which keywords describe Sareer Ul Amin's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Anomaly Detection, Neural Networks, Intrusion Detection, Network Security, Outlier Detection and Unsupervised.

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 21 words, with their numbers
  1. Deep Learning237 topics
  2. Machine Learning155 topics
  3. Anomaly Detection102 topics
  4. Neural Networks92 topics
  5. Intrusion Detection51 topic
  6. Network Security51 topic
  7. Outlier Detection51 topic
  8. Unsupervised51 topic
  9. Adversarial Examples41 topic
  10. Convolutional Neural Networks42 topics
  11. Robustness41 topic
  12. Action Recognition31 topic
  13. Pose Estimation31 topic
  14. Forecasting21 topic
  15. Histopathology Images21 topic
  16. Medical Image Analysis21 topic
  17. Object Tracking21 topic
  18. Plant Disease Detection21 topic
  19. Smart Farming21 topic
  20. Solar Radiation21 topic
  21. Visual Tracking21 topic

Where does Sareer Ul Amin work?

Sareer Ul Amin's main affiliation in the publication record is Chung-Ang University, South Korea.

How many publications and citations does Sareer Ul Amin have?

OpenAlex counts 25 works and 1,023 citations for Sareer Ul Amin, an h-index of 15, ranking #251,175 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.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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