Liyan Chang
Impact in
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
- Virtual Reality Applications and Impacts
- Innovative Human-Technology Interaction
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
Papers in
-
- Impact of Technology on Adolescents 1
- Co-authors
- Pranav Mistry (1 shared paper)Pattie Maes (1 shared paper)Jing Liu (1 shared paper)Yujie Wang (1 shared paper)Yao Feng (1 shared paper)Rongjun Song (1 shared paper)Paula Branco (1 shared paper)Bin Li (1 shared paper)
- Journals
- Frontiers in Psychology (3 papers)Journal of Applied Polymer Science (1 paper)Applied Intelligence (1 paper)Innovations in Education and Teaching International (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Liyan Chang
6 papers receiving 328 citations
Peers
Comparison fields: 5 of 56
- Human-Computer Interaction 235
- Cognitive Neuroscience 135
- Computer Vision and Pattern Recognition 137
- Information Systems and Management 19
- Health Informatics 3
Countries citing papers authored by Liyan Chang
This map shows the geographic impact of Liyan Chang'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 Liyan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyan Chang more than expected).
Fields of papers citing papers by Liyan Chang
This network shows the impact of papers produced by Liyan Chang. 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 Liyan Chang. The network helps show where Liyan Chang may publish in the future.
Co-authors
The 11 scholars most cited alongside Liyan Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 264 | |
| 2 | 2023 | 36 | |
| 3 | 2023 | 19 | |
| 4 | 2013 | 11 | |
| 5 | 2024 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2025 | 0 |
About Liyan Chang
Liyan Chang is a scholar working on Computer Networks and Communications, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 7 papers that have together received 342 indexed citations. Recurring topics across this work include Silicone and Siloxane Chemistry (1 paper), Interactive and Immersive Displays (1 paper), Tactile and Sensory Interactions (1 paper), Advanced Graph Neural Networks (1 paper), Education and Learning Interventions (1 paper), Impact of Technology on Adolescents (1 paper), Flame retardant materials and properties (1 paper) and Technology-Enhanced Education Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (235 citations), Cognitive Neuroscience (135 citations), Computer Vision and Pattern Recognition (137 citations), Information Systems and Management (19 citations) and Health Informatics (3 citations). Liyan Chang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Pranav Mistry, Pattie Maes, Jing Liu, Yujie Wang, Yujie Wang, Jing Liu, Yao Feng, Rongjun Song, Paula Branco and Bin Li. Their work appears in journals such as Frontiers in Psychology, Journal of Applied Polymer Science, Applied Intelligence and Innovations in Education and Teaching International.
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.