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Researcher · Lamar University · United States

Sujing Wang

Sujing Wang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, on topics such as Emotion and Mood Recognition, Face and Expression Recognition and Oil, Gas, and Environmental Issues.

ORCID 0000-0002-8774-6328 OpenAlex
World rank
#188,675
of 7,710,434 ranked researchers
Rank in United States
#70,237
of 1,627,098
Works
241
Citations
9.2k
Citations per work
38.3
h-index
46
i10-index 121Top 1.5% in Computer Vision and Pattern Recognition
Sujing Wang

What does Sujing Wang research?

Sujing Wang's work is mostly in Computer Science (29%), Psychology (7%), Environmental Science (6%).

Everything else: 129 works · 53.5% of their workPhysical Sciences: 95 works · 39.4% of their workComputer Science: 69 works · 28.8% of their workComputer Vision and Pattern Recognition: 42 works · 17.3% of their workArtificial Intelligence: 20 works · 8.1% of their workSignal Processing: 8 works · 3.4% of their workEnvironmental Science: 15 works · 6.2% of their workHealth, Toxicology and Mutagenesis: 15 works · 6.2% of their workEngineering: 11 works · 4.4% of their workAerospace Engineering: 11 works · 4.4% of their workSocial Sciences: 17 works · 7.1% of their workPsychology: 17 works · 7.1% of their workExperimental and Cognitive Psychology: 17 works · 7.1% of their workTHEIR WORKSujing Wang241works
Physical Sciences39%Social Sciences7%

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 else12953.5%
    1. Computer Science6928.8%
    2. Environmental Science156.2%
    3. Engineering114.4%
    1. Psychology177.1%
  1. 1Computer Vision and Pattern Recognition17% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Experimental and Cognitive Psychology7% of their works
  4. 4Health, Toxicology and Mutagenesis6% of their works
  5. 5Aerospace Engineering4% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Sujing Wang's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Emotion Recognition, Multimodal Data, Dimensionality Reduction, Feature Selection, Pose Estimation and Black Carbon Emissions.

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 Learning874 topics
  2. Face Recognition572 topics
  3. Emotion Recognition421 topic
  4. Multimodal Data421 topic
  5. Dimensionality Reduction391 topic
  6. Feature Selection391 topic
  7. Pose Estimation312 topics
  8. Black Carbon Emissions191 topic
  9. Gas Flaring191 topic
  10. Age Estimation181 topic
  11. Facial Landmark Detection181 topic
  12. Anomaly Detection141 topic
  13. Unsupervised141 topic
  14. Action Recognition131 topic
  15. Spatiotemporal Features131 topic
  16. Hybrid Rocket Propulsion121 topic
  17. Regression Rate Behavior121 topic
  18. GPS Trajectories111 topic
  19. Trajectory Data Mining111 topic

Where does Sujing Wang work?

Sujing Wang's main affiliation in the publication record is Lamar University, United States.

How many publications and citations does Sujing Wang have?

OpenAlex counts 241 works and 9,227 citations for Sujing Wang, an h-index of 46, ranking #188,675 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.

Other researchers named Sujing Wang

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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