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Researcher · Sejong University · South Korea

Amin Ullah

Amin Ullah publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Video Surveillance and Tracking Methods, Human Pose and Action Recognition and Anomaly Detection Techniques and Applications.

ORCID 0000-0001-7538-2689 OpenAlex
World rank
#166,032
of 7,710,434 ranked researchers
Rank in South Korea
#943
of 162,609
Works
102
Citations
7.1k
Citations per work
69.9
h-index
36
i10-index 55Top 3.1% in Computer Vision and Pattern Recognition
Amin Ullah

What does Amin Ullah research?

Amin Ullah's work is mostly in Computer Science (43%), Engineering (13%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 57 works · 55.5% of their workComputer Science: 44 works · 42.9% of their workComputer Vision and Pattern Recognition: 29 works · 28.9% of their workArtificial Intelligence: 10 works · 9.8% of their workComputer Networks and Communications: 4 works · 4.2% of their workEngineering: 13 works · 12.6% of their workElectrical and Electronic Engineering: 9 works · 9.1% of their workBuilding and Construction: 4 works · 3.5% of their workEverything else: 42 works · 41.4% of their workLife Sciences: 3 works · 3.1% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 3.1% of their workMolecular Biology: 3 works · 3.1% of their workTHEIR WORKAmin Ullah102works
Life Sciences3%Physical Sciences56%

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 Science4442.9%
    2. Engineering1312.6%
  2. Everything else4241.4%
    1. Biochemistry, Genetics and Molecular Biology33.1%
  1. 1Computer Vision and Pattern Recognition29% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Electrical and Electronic Engineering9% of their works
  4. 4Computer Networks and Communications4% of their works
  5. 5Building and Construction4% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Amin Ullah's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Object Tracking, Visual Tracking, Action Recognition, Pose Estimation and Anomaly Detection.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Deep Learning836 topics
  2. Neural Networks302 topics
  3. Convolutional Neural Networks262 topics
  4. Object Tracking211 topic
  5. Visual Tracking211 topic
  6. Action Recognition201 topic
  7. Pose Estimation201 topic
  8. Anomaly Detection191 topic
  9. Unsupervised191 topic
  10. Renewable Energy182 topics
  11. Electricity Price Forecasting111 topic
  12. Load Forecasting111 topic
  13. Content-Based Retrieval71 topic
  14. Demand Response71 topic
  15. Feature Matching71 topic
  16. Local Descriptors71 topic
  17. Smart Grid71 topic
  18. Video Summarization71 topic
  19. Image Recognition51 topic
  20. Object Detection51 topic

Where does Amin Ullah work?

Amin Ullah's main affiliation in the publication record is Sejong University, South Korea.

How many publications and citations does Amin Ullah have?

OpenAlex counts 102 works and 7,125 citations for Amin Ullah, an h-index of 36, ranking #166,032 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Other researchers named Amin Ullah

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.

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