D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 34 Citations 6,323 168 World Ranking 7992 National Ranking 3735

Research.com Recognitions

Awards & Achievements

2017 - IEEE Fellow For contributions to wearable haptics

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Perception

His primary areas of investigation include Haptic technology, Computer vision, Artificial intelligence, Human–computer interaction and Communication. His Haptic technology research is under the purview of Simulation. His work deals with themes such as Tapping and Tactile sensor, which intersect with Computer vision.

His work on Artificial intelligence is being expanded to include thematically relevant topics such as Visual spatial attention. He usually deals with Human–computer interaction and limits it to topics linked to Stimulus and Speech recognition. His biological study spans a wide range of topics, including Acoustics, Visual perception, Crossmodal and Sensory stimulation therapy.

His most cited work include:

  • Human factors for the design of force-reflecting haptic interfaces (369 citations)
  • Using spatial vibrotactile cues to direct visual attention in driving scenes (280 citations)
  • A Haptic Back Display for Attentional and Directional Cueing (224 citations)

What are the main themes of his work throughout his whole career to date?

Hong Z. Tan mainly investigates Haptic technology, Artificial intelligence, Computer vision, Simulation and Human–computer interaction. He has included themes like Acoustics, Perception, Multimedia, Virtual reality and Rendering in his Haptic technology study. His Artificial intelligence research includes elements of Visual perception and Computer graphics.

Hong Z. Tan studied Computer vision and Sensory cue that intersect with Crossmodal and Visual spatial attention. He works mostly in the field of Simulation, limiting it down to concerns involving Stimulus modality and, occasionally, Driving simulator and Change blindness. The Human–computer interaction study combines topics in areas such as Typing, Sensory system and Auditory feedback.

He most often published in these fields:

  • Haptic technology (51.65%)
  • Artificial intelligence (31.87%)
  • Computer vision (31.32%)

What were the highlights of his more recent work (between 2015-2021)?

  • Haptic technology (51.65%)
  • Acoustics (14.29%)
  • Speech recognition (9.89%)

In recent papers he was focusing on the following fields of study:

Hong Z. Tan spends much of his time researching Haptic technology, Acoustics, Speech recognition, Signal and Rendering. His research integrates issues of Natural, Actuator and Human–computer interaction in his study of Haptic technology. His Human–computer interaction study combines topics in areas such as Variety and Surface.

His Acoustics research integrates issues from Amplitude and Sensory system. His Speech recognition study incorporates themes from Representation, Perception and Encoding. His work carried out in the field of Signal brings together such families of science as Vibration and Transducer.

Between 2015 and 2021, his most popular works were:

  • A Phonemic-Based Tactile Display for Speech Communication (22 citations)
  • Rendering Moving Tactile Stroke on the Palm Using a Sparse 2D Array (10 citations)
  • A Comparative Study of Phoneme- and Word-Based Learning of English Words Presented to the Skin (9 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Geometry

His main research concerns Haptic technology, Artificial intelligence, Computer vision, Rendering and Speech recognition. As part of one scientific family, Hong Z. Tan deals mainly with the area of Haptic technology, narrowing it down to issues related to the Period, and often Natural and Human–computer interaction. His Artificial intelligence study integrates concerns from other disciplines, such as Visual impairment, Point and Edge.

The study incorporates disciplines such as 2d array, Radius and Haptic perception in addition to Computer vision. His Rendering research is multidisciplinary, incorporating perspectives in Acoustics and Optics. His Speech recognition study which covers Encoding that intersects with Set.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Human factors for the design of force-reflecting haptic interfaces

HZ Tan;B Eberman;MA Srinivasan;B Cheng.
(1994)

629 Citations

Human factors for the design of force-reflecting haptic interfaces

HZ Tan;B Eberman;MA Srinivasan;B Cheng.
(1994)

629 Citations

Using spatial vibrotactile cues to direct visual attention in driving scenes

Cristy Ho;Hong Z. Tan;Charles Spence.
Transportation Research Part F-traffic Psychology and Behaviour (2005)

407 Citations

Using spatial vibrotactile cues to direct visual attention in driving scenes

Cristy Ho;Hong Z. Tan;Charles Spence.
Transportation Research Part F-traffic Psychology and Behaviour (2005)

407 Citations

Tactual displays for wearable computing

H.Z. Tan;A. Pentland.
international symposium on wearable computers (1997)

377 Citations

Tactual displays for wearable computing

H.Z. Tan;A. Pentland.
international symposium on wearable computers (1997)

377 Citations

A Haptic Back Display for Attentional and Directional Cueing

Hong Z. Tan;Robert Gray;J. Jay Young;Ryan Traylor.
(2003)

344 Citations

A Haptic Back Display for Attentional and Directional Cueing

Hong Z. Tan;Robert Gray;J. Jay Young;Ryan Traylor.
(2003)

344 Citations

Haptic Feedback Enhances Force Skill Learning

D. Morris;Hong Tan;F. Barbagli;T. Chang.
symposium on haptic interfaces for virtual environment and teleoperator systems (2007)

292 Citations

Haptic Feedback Enhances Force Skill Learning

D. Morris;Hong Tan;F. Barbagli;T. Chang.
symposium on haptic interfaces for virtual environment and teleoperator systems (2007)

292 Citations

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