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Researcher · Shri Ramswaroop Memorial University · India

Akanksha Sahu

Akanksha Sahu publishes mostly in Media Technology, Computer Vision and Pattern Recognition and Plant Science, on topics such as Image and Signal Denoising Methods, Advanced Image Fusion Techniques and Remote-Sensing Image Classification.

OpenAlex
World rank
#2,040,655
of 7,710,434 ranked researchers
Rank in India
#35,446
of 280,097
Works
19
Citations
473
Citations per work
24.9
h-index
7
i10-index 7Top 58% in Media Technology
Akanksha Sahu

What does Akanksha Sahu research?

Akanksha Sahu's work is mostly in Engineering (36%), Computer Science (28%), Agricultural and Biological Sciences (10%).

Physical Sciences: 12 works · 64.0% of their workEngineering: 7 works · 36.0% of their workMedia Technology: 6 works · 30.0% of their workElectrical and Electronic Engineering: 1 works · 6.0% of their workComputer Science: 5 works · 28.0% of their workComputer Vision and Pattern Recognition: 3 works · 18.0% of their workArtificial Intelligence: 2 works · 10.0% of their workEverything else: 4 works · 20.0% of their workLife Sciences: 2 works · 10.0% of their workAgricultural and Biological Sciences: 2 works · 10.0% of their workPlant Science: 2 works · 10.0% of their workHealth Sciences: 1 works · 6.0% of their workMedicine: 1 works · 6.0% of their workOphthalmology: 1 works · 6.0% of their workTHEIR WORKAkanksha Sahu19works
Life Sciences10%Physical Sciences64%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. Engineering736.0%
    2. Computer Science528.0%
  2. Everything else420.0%
    1. Agricultural and Biological Sciences210.0%
    1. Medicine16.0%
  1. 1Media Technology30% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Plant Science10% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Ophthalmology6% of their works
  6. 6Electrical and Electronic Engineering6% of their works

Research topics

Which keywords describe Akanksha Sahu's research?

The keywords of their largest research topics: Wavelet Transform, Deep Learning, Hyperspectral, Remote Sensing, Image Denoising, Image Fusion, Multispectral and Sparse Representations.

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 23 words, with their numbers
  1. Wavelet Transform162 topics
  2. Deep Learning152 topics
  3. Hyperspectral152 topics
  4. Remote Sensing152 topics
  5. Image Denoising81 topic
  6. Image Fusion81 topic
  7. Multispectral81 topic
  8. Sparse Representations81 topic
  9. Classification71 topic
  10. Image Analysis71 topic
  11. Anti-inflammatory22 topics
  12. Antioxidant22 topics
  13. Gene Expression22 topics
  14. Aloe Vera11 topic
  15. Antioxidants11 topic
  16. Development11 topic
  17. Emodin11 topic
  18. Medicinal Plants11 topic
  19. Phytochemistry11 topic
  20. Plant11 topic
  21. Plant Immunity11 topic
  22. Reactive Oxygen Species11 topic
  23. Rhizosphere Interactions11 topic

Where does Akanksha Sahu work?

Akanksha Sahu's main affiliation in the publication record is Shri Ramswaroop Memorial University, India.

How many publications and citations does Akanksha Sahu have?

OpenAlex counts 19 works and 473 citations for Akanksha Sahu, an h-index of 7, ranking #2,040,655 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.

Discussion

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