Daniel Cheng

485 citations
20 papers · 286 · h-index 10

Impact in

Papers in

Daniel Cheng

19 papers receiving 266 citations

Peers

Daniel Cheng
Comparison fields: 5 of 63
  • Human-Computer Interaction 119
  • Information Systems and Management 35
  • Computer Vision and Pattern Recognition 74
  • Atmospheric Science 62
  • Cognitive Neuroscience 58
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Citations per field
00.5×7.4×
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Citations per year

Countries citing papers authored by Daniel Cheng

Since Specialization
Citations

This map shows the geographic impact of Daniel Cheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cheng more than expected).

Fields of papers citing papers by Daniel Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Cheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Cheng. The network helps show where Daniel Cheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Cheng Line = papers co-authored together Daniel Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202151
2 201326
3 200526
4 201624
5 200424
6 200423
7 200522
8 200616
9 200416
10 200615
11 20049
12 20228
13 20046
14 20245
15 20055
16 20204
17
Attentive Headphones: Augmenting Conversational Attention with a Real World TiVo ®
20053
18 20172
19
Developing ICT-Enabled Information Processing Capabilities for Combatting E-Commerce Identity Fraud: A Case Study of Trustev’s Social Fingerprinting Solution
20151
20 20250

About Daniel Cheng

Daniel Cheng is a scholar working on Human-Computer Interaction, Information Systems and Management, Cognitive Neuroscience, Atmospheric Science and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 286 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (8 papers), Interactive and Immersive Displays (6 papers), Personal Information Management and User Behavior (4 papers), Cryospheric studies and observations (4 papers), Tactile and Sensory Interactions (4 papers), Winter Sports Injuries and Performance (2 papers), Usability and User Interface Design (2 papers) and Geology and Paleoclimatology Research (2 papers). The work is most often cited by research in Human-Computer Interaction (119 citations), Information Systems and Management (35 citations), Computer Vision and Pattern Recognition (74 citations), Atmospheric Science (62 citations) and Cognitive Neuroscience (58 citations). Daniel Cheng has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Roel Vertegaal, Changuk Sohn, Wayne B. Hayes, Michael Wood, Eric Larour, Yara Mohajerani, Eric Rignot, I. Velicogna, Michael Cahalane and Felix Ter Chian Tan. Their work appears in journals such as Optometry and Vision Science, Geoscientific model development, Information & Management, Geophysical Research Letters and ˜The œcryosphere.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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