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Researcher · Chandigarh University · India

Anup Lal Yadav

Anup Lal Yadav publishes mostly in Artificial Intelligence, Computer Networks and Communications and Information Systems, on topics such as Smart Agriculture and AI, COVID-19 diagnosis using AI and Food Supply Chain Traceability.

ORCID 0000-0001-9337-5546 OpenAlex
World rank
#3,207,243
of 7,710,434 ranked researchers
Rank in India
#67,927
of 280,097
Works
53
Citations
258
Citations per work
4.9
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Anup Lal Yadav

What does Anup Lal Yadav research?

Anup Lal Yadav's work is mostly in Computer Science (28%), Agricultural and Biological Sciences (5%), Medicine (5%).

Everything else: 33 works · 62.2% of their workPhysical Sciences: 15 works · 28.2% of their workComputer Science: 15 works · 28.2% of their workArtificial Intelligence: 6 works · 11.3% of their workComputer Networks and Communications: 3 works · 6.5% of their workInformation Systems: 3 works · 5.6% of their workComputer Vision and Pattern Recognition: 3 works · 4.8% of their workLife Sciences: 3 works · 4.8% of their workAgricultural and Biological Sciences: 3 works · 4.8% of their workPlant Science: 3 works · 4.8% of their workHealth Sciences: 3 works · 4.8% of their workMedicine: 3 works · 4.8% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 4.8% of their workTHEIR WORKAnup Lal Yadav53works
Life Sciences5%Physical Sciences28%Health Sciences5%

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. Everything else3362.2%
    1. Computer Science1528.2%
    1. Agricultural and Biological Sciences34.8%
    1. Medicine34.8%
  1. 1Artificial Intelligence11% of their works
  2. 2Computer Networks and Communications6% of their works
  3. 3Information Systems6% of their works
  4. 4Radiology, Nuclear Medicine and Imaging5% of their works
  5. 5Plant Science5% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Anup Lal Yadav's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Autonomous Vehicles, Collision Avoidance, RFID Technology, COVID-19, Medical Imaging and Plant Disease Detection.

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 21 words, with their numbers
  1. Deep Learning195 topics
  2. Machine Learning113 topics
  3. Autonomous Vehicles62 topics
  4. Collision Avoidance62 topics
  5. RFID Technology62 topics
  6. COVID-1951 topic
  7. Medical Imaging51 topic
  8. Plant Disease Detection51 topic
  9. Smart Farming51 topic
  10. Big Data Analytics31 topic
  11. Collaborative Filtering31 topic
  12. Driver Assistance Systems31 topic
  13. Food Supply Chain31 topic
  14. Healthcare31 topic
  15. IoT31 topic
  16. Matrix Factorization31 topic
  17. Optimal Motion Planning31 topic
  18. Sampling-Based Algorithms31 topic
  19. Smart Vehicle Safety31 topic
  20. Traceability31 topic
  21. Trajectory Prediction31 topic

Where does Anup Lal Yadav work?

Anup Lal Yadav's main affiliation in the publication record is Chandigarh University, India.

How many publications and citations does Anup Lal Yadav have?

OpenAlex counts 53 works and 258 citations for Anup Lal Yadav, an h-index of 9, ranking #3,207,243 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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