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Researcher · Tongmyong University · South Korea

Siddiqui Muhammad Yasir

Siddiqui Muhammad Yasir publishes mostly in Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computational Mechanics, on topics such as Industrial Vision Systems and Defect Detection, Digital Media Forensic Detection and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0002-2603-9013 OpenAlex
World rank
#3,382,174
of 7,710,434 ranked researchers
Rank in South Korea
#51,736
of 162,609
Works
18
Citations
121
Citations per work
6.7
h-index
7
i10-index 4Top 69% in Computer Vision and Pattern Recognition
Siddiqui Muhammad Yasir

What does Siddiqui Muhammad Yasir research?

Siddiqui Muhammad Yasir's work is mostly in Computer Science (46%), Engineering (25%).

Physical Sciences: 13 works · 71.2% of their workComputer Science: 8 works · 46.2% of their workComputer Vision and Pattern Recognition: 6 works · 32.7% of their workArtificial Intelligence: 1 works · 7.7% of their workInformation Systems: 1 works · 5.8% of their workEngineering: 4 works · 25.0% of their workComputational Mechanics: 2 works · 9.6% of their workIndustrial and Manufacturing Engineering: 2 works · 9.6% of their workMedia Technology: 1 works · 5.8% of their workEverything else: 5 works · 28.8% of their workTHEIR WORKSiddiqui MuhammadYasir18works
Physical Sciences71%

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 Science846.2%
    2. Engineering425.0%
  2. Everything else528.8%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Industrial and Manufacturing Engineering10% of their works
  3. 3Computational Mechanics10% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Information Systems6% of their works
  6. 6Media Technology6% of their works

Research topics

Which keywords describe Siddiqui Muhammad Yasir's research?

The keywords of their largest research topics: Deep Learning, Machine Vision, 3D Reconstruction, Point Clouds, Cultural Heritage, Fabric Defect Detection, Texture Analysis and Digital Forensics.

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 Learning154 topics
  2. Machine Vision72 topics
  3. 3D Reconstruction62 topics
  4. Point Clouds62 topics
  5. Cultural Heritage52 topics
  6. Fabric Defect Detection51 topic
  7. Texture Analysis51 topic
  8. Digital Forensics41 topic
  9. Image Forgery Detection41 topic
  10. Generative Adversarial Networks31 topic
  11. Image Synthesis31 topic
  12. Mesh Segmentation31 topic
  13. Photogrammetry31 topic
  14. Shape Representation31 topic
  15. UAV31 topic
  16. Fragmented Objects21 topic
  17. Privacy21 topic
  18. Reconstruction21 topic
  19. Roughness Measurement21 topic
  20. Security21 topic
  21. Surface Characterization21 topic

Where does Siddiqui Muhammad Yasir work?

Siddiqui Muhammad Yasir's main affiliation in the publication record is Tongmyong University, South Korea.

How many publications and citations does Siddiqui Muhammad Yasir have?

OpenAlex counts 18 works and 121 citations for Siddiqui Muhammad Yasir, an h-index of 7, ranking #3,382,174 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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