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Researcher · National Yunlin University of Science and Technology · Taiwan

Abida Khanum

Abida Khanum publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Building and Construction, on topics such as Advanced Neural Network Applications, Autonomous Vehicle Technology and Safety and Traffic Prediction and Management Techniques.

ORCID 0000-0003-1338-9257 OpenAlex
World rank
#5,683,661
of 7,710,434 ranked researchers
Rank in Taiwan
#43,924
of 57,035
Works
17
Citations
129
Citations per work
7.6
h-index
7
i10-index 4Top 69% in Computer Vision and Pattern Recognition
Abida Khanum

What does Abida Khanum research?

Abida Khanum's work is mostly in Computer Science (30%), Engineering (26%), Medicine (6%).

Physical Sciences: 10 works · 56.0% of their workComputer Science: 5 works · 30.0% of their workComputer Vision and Pattern Recognition: 3 works · 20.0% of their workArtificial Intelligence: 2 works · 10.0% of their workEngineering: 4 works · 26.0% of their workAutomotive Engineering: 2 works · 14.0% of their workBuilding and Construction: 2 works · 12.0% of their workEverything else: 6 works · 36.0% of their workHealth Sciences: 1 works · 6.0% of their workMedicine: 1 works · 6.0% of their workPublic Health, Environmental and Occupational Health: 1 works · 6.0% of their workLife Sciences: 0 works · 2.0% of their workAgricultural and Biological Sciences: 0 works · 2.0% of their workPlant Science: 0 works · 2.0% of their workTHEIR WORKAbida Khanum17works
Life Sciences2%Physical Sciences56%Health Sciences6%

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 Science530.0%
    2. Engineering426.0%
  2. Everything else636.0%
    1. Medicine16.0%
    1. Agricultural and Biological Sciences02.0%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Automotive Engineering14% of their works
  3. 3Building and Construction12% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Public Health, Environmental and Occupational Health6% of their works
  6. 6Plant Science2% of their works

Research topics

Which keywords describe Abida Khanum's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Machine Learning, Autonomous Vehicles, Neural Networks, Trajectory Prediction and Short-Term Forecasting.

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 19 words, with their numbers
  1. Deep Learning235 topics
  2. Convolutional Neural Networks91 topic
  3. Image Recognition91 topic
  4. Machine Learning82 topics
  5. Autonomous Vehicles71 topic
  6. Neural Networks73 topics
  7. Trajectory Prediction71 topic
  8. Short-Term Forecasting41 topic
  9. Traffic Flow41 topic
  10. BIM21 topic
  11. Construction21 topic
  12. Reinforcement Learning21 topic
  13. Robotics21 topic
  14. Machine Translation11 topic
  15. Neural Machine Translation11 topic
  16. Plant Disease Detection11 topic
  17. Smart Farming11 topic
  18. Statistical Machine Translation11 topic
  19. Word Representation11 topic

Where does Abida Khanum work?

Abida Khanum's main affiliation in the publication record is National Yunlin University of Science and Technology, Taiwan.

How many publications and citations does Abida Khanum have?

OpenAlex counts 17 works and 129 citations for Abida Khanum, an h-index of 7, ranking #5,683,661 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.

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