Liyan Chang
Impact in
- Human-Computer Interaction top 2%
- 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
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- Digital Marketing and Social Media 2
-
- Technology Adoption and User Behaviour 2
- Co-authors
- Pranav Mistry (1 shared paper)Pattie Maes (1 shared paper)Yujie Wang (1 shared paper)Jing Liu (1 shared paper)Paula Branco (1 shared paper)Yao Feng (1 shared paper)Rongjun Song (1 shared paper)Bin Li (1 shared paper)
- Journals
- Frontiers in Psychology (2 papers)Journal of Applied Polymer Science (1 paper)Innovations in Education and Teaching International (1 paper)Applied Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Liyan Chang
6 papers receiving 318 citations
Peers
Comparison fields: 5 of 54
- Human-Computer Interaction 233
- Cognitive Neuroscience 134
- Computer Vision and Pattern Recognition 136
- Information Systems and Management 19
- Computer Graphics and Computer-Aided Design 6
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 | 262 | |
| 2 | 2023 | 33 | |
| 3 | 2023 | 16 | |
| 4 | 2013 | 10 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 4 |
About Liyan Chang
Liyan Chang is a scholar working on Sociology and Political Science, Information Systems and Management, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 6 papers that have together received 332 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (2 papers), Digital Marketing and Social Media (2 papers), Silicone and Siloxane Chemistry (1 paper), Augmented Reality Applications (1 paper), Flame retardant materials and properties (1 paper), Interactive and Immersive Displays (1 paper), Advanced Graph Neural Networks (1 paper) and Technology-Enhanced Education Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (233 citations), Cognitive Neuroscience (134 citations), Computer Vision and Pattern Recognition (136 citations), Information Systems and Management (19 citations) and Computer Graphics and Computer-Aided Design (6 citations). Liyan Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pranav Mistry, Pattie Maes, Yujie Wang, Jing Liu, Paula Branco, Yao Feng, Yujie Wang, Jing Liu, Rongjun Song and Bin Li. Their work appears in journals such as Frontiers in Psychology, Journal of Applied Polymer Science, Innovations in Education and Teaching International and Applied Intelligence.
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.