Daniel Cheng

485 total citations
20 papers, 286 citations indexed

About

Daniel Cheng is a scholar working on Human-Computer Interaction, Information Systems and Management and Cognitive Neuroscience. According to data from OpenAlex, Daniel Cheng has authored 20 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Human-Computer Interaction, 4 papers in Information Systems and Management and 4 papers in Cognitive Neuroscience. Recurrent topics in Daniel Cheng's work include Gaze Tracking and Assistive Technology (8 papers), Interactive and Immersive Displays (6 papers) and Personal Information Management and User Behavior (4 papers). Daniel Cheng is often cited by papers focused on Gaze Tracking and Assistive Technology (8 papers), Interactive and Immersive Displays (6 papers) and Personal Information Management and User Behavior (4 papers). Daniel Cheng collaborates with scholars based in Canada, United States and Australia. Daniel Cheng's co-authors include Roel Vertegaal, Changuk Sohn, Wayne B. Hayes, Eric Rignot, I. Velicogna, Eric Larour, Yara Mohajerani, Michael Wood, Zixiu Guo and Felix Ter Chian Tan and has published in prestigious journals such as Geophysical Research Letters, Information & Management and Optometry and Vision Science.

In The Last Decade

Daniel Cheng

19 papers receiving 266 citations

Peers

Daniel Cheng
Comparison fields: 5 of 63
  • Human-Computer Interaction 119
  • Computer Vision and Pattern Recognition 74
  • Atmospheric Science 62
  • Cognitive Neuroscience 58
  • Information Systems and Management 35
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Citations per field, relative to Daniel Cheng
Daniel Cheng · 1×
Citations per year, relative to Daniel Cheng
Daniel Cheng · 1×

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-authorship network of co-authors of Daniel Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Cheng. A scholar is included among the top collaborators of Daniel Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Cheng. Daniel Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 8
4 51
5 4
6 2
7 24
8
Developing ICT-Enabled Information Processing Capabilities for Combatting E-Commerce Identity Fraud: A Case Study of Trustev’s Social Fingerprinting Solution
1
9 26
10 16
11 15
12 26
13 5
14 22
15
Attentive Headphones: Augmenting Conversational Attention with a Real World TiVo ®
3
16 6
17 16
18 23
19 9
20 24

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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