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Researcher · Universiti Tenaga Nasional · Malaysia

Dickson Neoh Tze How

Dickson Neoh Tze How publishes mostly in Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, on topics such as Robotics and Sensor-Based Localization, Human Pose and Action Recognition and Robot Manipulation and Learning.

OpenAlex
World rank
#4,494,011
of 7,710,434 ranked researchers
Rank in Malaysia
#21,552
of 41,196
Works
15
Citations
146
Citations per work
9.7
h-index
8
i10-index 5Top 60% in Computer Vision and Pattern Recognition
Dickson Neoh Tze How

What does Dickson Neoh Tze How research?

Dickson Neoh Tze How's work is mostly in Computer Science (38%), Engineering (31%).

Physical Sciences: 10 works · 69.0% of their workComputer Science: 6 works · 37.8% of their workComputer Vision and Pattern Recognition: 4 works · 26.7% of their workArtificial Intelligence: 1 works · 6.7% of their workHuman-Computer Interaction: 1 works · 4.4% of their workEngineering: 5 works · 31.2% of their workControl and Systems Engineering: 2 works · 15.6% of their workAerospace Engineering: 1 works · 8.9% of their workMedia Technology: 1 works · 6.7% of their workEverything else: 5 works · 31.0% of their workTHEIR WORKDickson Neoh TzeHow15works
Physical Sciences69%

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 Science637.8%
    2. Engineering531.2%
  2. Everything else531.0%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Control and Systems Engineering16% of their works
  3. 3Aerospace Engineering9% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Media Technology7% of their works
  6. 6Human-Computer Interaction4% of their works

Research topics

Which keywords describe Dickson Neoh Tze How's research?

The keywords of their largest research topics: Deep Learning, 3D Mapping, SLAM, Action Recognition, Grasping, Pose Estimation, Robot Learning and 3D Reconstruction.

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 17 words, with their numbers
  1. Deep Learning125 topics
  2. 3D Mapping41 topic
  3. SLAM41 topic
  4. Action Recognition31 topic
  5. Grasping31 topic
  6. Pose Estimation31 topic
  7. Robot Learning31 topic
  8. 3D Reconstruction21 topic
  9. Bioinspired Robotics21 topic
  10. Convolutional Neural Networks21 topic
  11. Gesture Recognition21 topic
  12. Human-Computer Interaction21 topic
  13. Image Recognition21 topic
  14. Optimal Motion Planning21 topic
  15. Point Clouds21 topic
  16. Sampling-Based Algorithms21 topic
  17. Soft Robotics21 topic

Where does Dickson Neoh Tze How work?

Dickson Neoh Tze How's main affiliation in the publication record is Universiti Tenaga Nasional, Malaysia.

How many publications and citations does Dickson Neoh Tze How have?

OpenAlex counts 15 works and 146 citations for Dickson Neoh Tze How, an h-index of 8, ranking #4,494,011 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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