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Researcher · Binus University · Indonesia

Tjeng Wawan Cenggoro

Tjeng Wawan Cenggoro publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Genetic Associations and Epidemiology, Video Surveillance and Tracking Methods and COVID-19 diagnosis using AI.

ORCID 0000-0002-9872-9646 OpenAlex
World rank
#1,186,839
of 7,710,434 ranked researchers
Rank in Indonesia
#2,220
of 148,020
Works
134
Citations
1.7k
Citations per work
12.7
h-index
25
i10-index 51Top 7.8% in Artificial Intelligence
Tjeng Wawan Cenggoro

What does Tjeng Wawan Cenggoro research?

Tjeng Wawan Cenggoro's work is mostly in Computer Science (42%), Biochemistry, Genetics and Molecular Biology (12%), Agricultural and Biological Sciences (5%).

Physical Sciences: 57 works · 42.4% of their workComputer Science: 57 works · 42.4% of their workArtificial Intelligence: 29 works · 21.4% of their workComputer Vision and Pattern Recognition: 19 works · 14.5% of their workInformation Systems: 9 works · 6.5% of their workEverything else: 55 works · 41.3% of their workLife Sciences: 22 works · 16.3% of their workBiochemistry, Genetics and Molecular Biology: 16 works · 11.6% of their workMolecular Biology: 9 works · 6.9% of their workGenetics: 6 works · 4.7% of their workAgricultural and Biological Sciences: 6 works · 4.7% of their workPlant Science: 6 works · 4.7% of their workTHEIR WORKTjeng WawanCenggoro134works
Life Sciences16%Physical Sciences42%

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 Science5742.4%
  2. Everything else5541.3%
    1. Biochemistry, Genetics and Molecular Biology1611.6%
    2. Agricultural and Biological Sciences64.7%
  1. 1Artificial Intelligence21% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Molecular Biology7% of their works
  4. 4Information Systems6% of their works
  5. 5Plant Science5% of their works
  6. 6Genetics5% of their works

Research topics

Which keywords describe Tjeng Wawan Cenggoro's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, COVID-19, Genetic Variation, Genome-Wide Association, Medical Imaging and Object 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 19 words, with their numbers
  1. Deep Learning456 topics
  2. Convolutional Neural Networks324 topics
  3. Machine Learning142 topics
  4. COVID-1991 topic
  5. Genetic Variation91 topic
  6. Genome-Wide Association91 topic
  7. Medical Imaging91 topic
  8. Object Tracking91 topic
  9. Visual Tracking91 topic
  10. Image Recognition81 topic
  11. Object Detection81 topic
  12. Plant Disease Detection81 topic
  13. Smart Farming81 topic
  14. Classification61 topic
  15. Histopathology Images61 topic
  16. Imbalanced Data61 topic
  17. Medical Image Analysis61 topic
  18. Anomaly Detection51 topic
  19. Unsupervised51 topic

Where does Tjeng Wawan Cenggoro work?

Tjeng Wawan Cenggoro's main affiliation in the publication record is Binus University, Indonesia.

How many publications and citations does Tjeng Wawan Cenggoro have?

OpenAlex counts 134 works and 1,705 citations for Tjeng Wawan Cenggoro, an h-index of 25, ranking #1,186,839 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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