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Researcher · Sejong University · South Korea

Noman Khan

Noman Khan publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, on topics such as Energy Load and Power Forecasting, Video Surveillance and Tracking Methods and Human Pose and Action Recognition.

ORCID 0000-0001-7531-3827 OpenAlex
World rank
#127,463
of 7,710,434 ranked researchers
Rank in South Korea
#648
of 162,609
Works
49
Citations
1.8k
Citations per work
37.2
h-index
25
i10-index 38Top 8.1% in Computer Vision and Pattern Recognition
Noman Khan

What does Noman Khan research?

Noman Khan's work is mostly in Computer Science (39%), Engineering (28%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 33 works · 67.5% of their workComputer Science: 19 works · 39.3% of their workComputer Vision and Pattern Recognition: 12 works · 25.5% of their workArtificial Intelligence: 7 works · 13.8% of their workEngineering: 14 works · 28.2% of their workElectrical and Electronic Engineering: 10 works · 21.4% of their workBiomedical Engineering: 2 works · 3.4% of their workBuilding and Construction: 2 works · 3.4% of their workEverything else: 13 works · 26.3% of their workLife Sciences: 3 works · 6.2% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 6.2% of their workMolecular Biology: 3 works · 6.2% of their workTHEIR WORKNoman Khan49works
Life Sciences6%Physical Sciences68%

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 Science1939.3%
    2. Engineering1428.2%
  2. Everything else1326.3%
    1. Biochemistry, Genetics and Molecular Biology36.2%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Electrical and Electronic Engineering21% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Molecular Biology6% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Building and Construction3% of their works

Research topics

Which keywords describe Noman Khan's research?

The keywords of their largest research topics: Deep Learning, Renewable Energy, Neural Networks, Electricity Price Forecasting, Load Forecasting, Artificial Neural Networks, Object Tracking and Visual Tracking.

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 21 words, with their numbers
  1. Deep Learning454 topics
  2. Renewable Energy303 topics
  3. Neural Networks212 topics
  4. Electricity Price Forecasting141 topic
  5. Load Forecasting141 topic
  6. Artificial Neural Networks132 topics
  7. Object Tracking131 topic
  8. Visual Tracking131 topic
  9. Machine Learning122 topics
  10. Action Recognition111 topic
  11. Pose Estimation111 topic
  12. Forecasting91 topic
  13. Solar Radiation91 topic
  14. Anomaly Detection71 topic
  15. Demand Response71 topic
  16. Smart Grid71 topic
  17. Unsupervised71 topic
  18. Building Energy Consumption41 topic
  19. Thermal Comfort41 topic
  20. Protein31 topic
  21. Subcellular Localization31 topic

Where does Noman Khan work?

Noman Khan's main affiliation in the publication record is Sejong University, South Korea.

How many publications and citations does Noman Khan have?

OpenAlex counts 49 works and 1,822 citations for Noman Khan, an h-index of 25, ranking #127,463 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 Noman Khan

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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