Hai‐Ning Liang

5.7k citations
281 papers · 3.6k · h-index 32

Impact in

Papers in

Hai‐Ning Liang

260 papers receiving 3.5k citations

Peers

Hai‐Ning Liang
Comparison fields: 5 of 145
  • Human-Computer Interaction 2.1k
  • Computer Vision and Pattern Recognition 1.1k
  • Cognitive Neuroscience 627
  • Developmental and Educational Psychology 381
  • Computer Science Applications 167
Replace Eva Hornecker with:
Eva Hornecker Germany
Matthias Rauterberg Netherlands
Matt Jones United Kingdom
Massimo Zancanaro Italy
Jonna Häkkilä Finland
Marc Erich Latoschik Germany
Sidney Fels Canada
Martin Schrepp Germany
Andrés Lucero Finland
Anthony Tang Canada
Hai‐Ning Liang relative to Eva Hornecker Germany Eva Hornecker's profile →
Citations per field
00.5×1.5×2.3×
Eva Hornecker · 1×
Citations per year

Countries citing papers authored by Hai‐Ning Liang

Since Specialization
Citations

This map shows the geographic impact of Hai‐Ning Liang'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 Hai‐Ning Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Ning Liang more than expected).

Fields of papers citing papers by Hai‐Ning Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Ning Liang. 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 Hai‐Ning Liang. The network helps show where Hai‐Ning Liang may publish in the future.

Co-authors

The 25 scholars most cited alongside Hai‐Ning Liang, 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 Hai‐Ning Liang Line = papers co-authored together Hai‐Ning Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 281 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021124
2 202183
3 202379
4 201873
5 202072
6
Interactivity of Visual Mathematical Representations: Factors Affecting Learning and Cognitive Processes
200672
7 201968
8 202268
9 201867
10 201961
11 201858
12 202056
13 201656
14 202354
15 201954
16 202152
17 201952
18 201950
19 201749
20 202046

About Hai‐Ning Liang

Hai‐Ning Liang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology and Information Systems, having authored 281 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (112 papers), Interactive and Immersive Displays (60 papers), Augmented Reality Applications (54 papers), Tactile and Sensory Interactions (35 papers), Gaze Tracking and Assistive Technology (18 papers), Data Visualization and Analytics (17 papers), Innovative Human-Technology Interaction (14 papers) and Teleoperation and Haptic Systems (12 papers). The work is most often cited by research in Human-Computer Interaction (2.1k citations), Computer Vision and Pattern Recognition (1.1k citations), Cognitive Neuroscience (627 citations), Developmental and Educational Psychology (381 citations) and Computer Science Applications (167 citations). Hai‐Ning Liang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Wenge Xu, Kamran Sedig, Difeng Yu, Diego Monteiro, Nilufar Baghaei, Rongkai Shi, Charles B. Fleming, Konstantinos Papangelis, Vijayakumar Nanjappan and Jialin Wang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Human-Computer Interaction, Proceedings of the ACM on Human-Computer Interaction, International Journal of Human-Computer Studies and Games for Health Journal.

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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