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Researcher · Bennett University · India

Tej Bahadur Chandra

Tej Bahadur Chandra publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging and AI in cancer detection.

ORCID 0000-0002-3499-3296 OpenAlex
World rank
#1,283,274
of 7,710,434 ranked researchers
Rank in India
#19,349
of 280,097
Works
29
Citations
839
Citations per work
28.9
h-index
11
i10-index 13Top 50% in Radiology, Nuclear Medicine and Imaging
Tej Bahadur Chandra

What does Tej Bahadur Chandra research?

Tej Bahadur Chandra's work is mostly in Computer Science (37%), Medicine (33%), Agricultural and Biological Sciences (5%).

Physical Sciences: 11 works · 37.2% of their workComputer Science: 11 works · 37.2% of their workArtificial Intelligence: 4 works · 14.1% of their workComputer Vision and Pattern Recognition: 4 works · 14.1% of their workComputer Networks and Communications: 3 works · 9.0% of their workHealth Sciences: 10 works · 33.3% of their workMedicine: 10 works · 33.3% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 25.6% of their workPulmonary and Respiratory Medicine: 2 works · 7.7% of their workEverything else: 7 works · 24.4% of their workLife Sciences: 1 works · 5.1% of their workAgricultural and Biological Sciences: 1 works · 5.1% of their workPlant Science: 1 works · 5.1% of their workTHEIR WORKTej BahadurChandra29works
Life Sciences5%Physical Sciences37%Health Sciences33%

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 Science1137.2%
    1. Medicine1033.3%
  3. Everything else724.4%
    1. Agricultural and Biological Sciences15.1%
  1. 1Radiology, Nuclear Medicine and Imaging26% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Computer Networks and Communications9% of their works
  5. 5Pulmonary and Respiratory Medicine8% of their works
  6. 6Plant Science5% of their works

Research topics

Which keywords describe Tej Bahadur Chandra's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Medical Imaging, Machine Learning, Chest X-Ray, COVID-19, Feature Extraction and Medical Image Analysis.

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 24 words, with their numbers
  1. Convolutional Neural Networks203 topics
  2. Deep Learning203 topics
  3. Medical Imaging192 topics
  4. Machine Learning174 topics
  5. COVID-19121 topic
  6. Chest X-Ray121 topic
  7. Feature Extraction92 topics
  8. Medical Image Analysis82 topics
  9. Quantitative Analysis71 topic
  10. Radiomics71 topic
  11. Computer-Aided Detection61 topic
  12. Histopathology Images61 topic
  13. CT Screening51 topic
  14. Lung Cancer51 topic
  15. Image Processing42 topics
  16. Wireless Sensor Networks42 topics
  17. Energy-Efficient Protocols21 topic
  18. Grafting21 topic
  19. Leukemia Classification21 topic
  20. Malaria Parasite Detection21 topic
  21. Plant Disease Detection21 topic
  22. Routing Techniques21 topic
  23. Smart Farming21 topic
  24. Soilborne Pathogens21 topic

Where does Tej Bahadur Chandra work?

Tej Bahadur Chandra's main affiliation in the publication record is Bennett University, India.

How many publications and citations does Tej Bahadur Chandra have?

OpenAlex counts 29 works and 839 citations for Tej Bahadur Chandra, an h-index of 11, ranking #1,283,274 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.

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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