Nan‐Wei Gong
- Human-Computer Interaction top 0.5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Ivan PoupyrevMustafa Emre KaragozlerJoseph A. ParadisoCarsten SchwesigSteve HodgesEric PaulosLaura DevendorfKimiko Ryokai
- Topics
- Interactive and Immersive Displays (10 papers)Tactile and Sensory Interactions (7 papers)Modular Robots and Swarm Intelligence (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Nan‐Wei Gong
22 papers receiving 918 citations
Peers
Comparison fields: 5 of 89
- Human-Computer Interaction 646
- Cognitive Neuroscience 389
- Biomedical Engineering 237
- Computer Vision and Pattern Recognition 164
- Electrical and Electronic Engineering 108
Countries citing papers authored by Nan‐Wei Gong
This map shows the geographic impact of Nan‐Wei Gong'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 Nan‐Wei Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan‐Wei Gong more than expected).
Fields of papers citing papers by Nan‐Wei Gong
This network shows the impact of papers produced by Nan‐Wei Gong. 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 Nan‐Wei Gong. The network helps show where Nan‐Wei Gong may publish in the future.
Co-authorship network of co-authors of Nan‐Wei Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Nan‐Wei Gong. A scholar is included among the top collaborators of Nan‐Wei Gong 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 Nan‐Wei Gong. Nan‐Wei Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 94 | |
| 2 | 252 | |
| 3 | 186 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | PrintSense: a versatile sensing technique to support multimodal flexible surface interaction | 3 |
| 7 | Building Functional Pervasive Computing Prototypes using Conductive Inkjet Printing | 2 |
| 8 | 38 | |
| 9 | 84 | |
| 10 | 7 | |
| 11 | 61 | |
| 12 | 59 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 34 | |
| 17 | 48 | |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 35 |
About Nan‐Wei Gong
Nan‐Wei Gong is a scholar working on Human-Computer Interaction, Instrumentation and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 939 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (10 papers), Tactile and Sensory Interactions (7 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Human-Computer Interaction (646 citations), Cognitive Neuroscience (389 citations) and Museology (43 citations). Nan‐Wei Gong has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ivan Poupyrev, Mustafa Emre Karagozler, Joseph A. Paradiso, Carsten Schwesig, Steve Hodges, Eric Paulos, Laura Devendorf, Kimiko Ryokai, Noura Howell and Simon Olberding. Their work appears in journals such as Advanced Materials, Energy and Buildings and IEEE Pervasive Computing.
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.