Nan‐Wei Gong

33 total papers · 1.2k total citations
22 papers, 928 citations indexed

About

Nan‐Wei Gong is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Nan‐Wei Gong has authored 22 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Human-Computer Interaction, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Nan‐Wei Gong's work include Interactive and Immersive Displays (10 papers), Tactile and Sensory Interactions (7 papers) and Music Technology and Sound Studies (3 papers). Nan‐Wei Gong is often cited by papers focused on Interactive and Immersive Displays (10 papers), Tactile and Sensory Interactions (7 papers) and Music Technology and Sound Studies (3 papers). Nan‐Wei Gong collaborates with scholars based in United States, Germany and United Kingdom. Nan‐Wei Gong's co-authors include Ivan Poupyrev, Mustafa Emre Karagozler, Joseph A. Paradiso, Carsten Schwesig, Steve Hodges, Noura Howell, Eric Paulos, Laura Devendorf, Kimiko Ryokai and Simon Olberding and has published in prestigious journals such as Advanced Materials, Energy and Buildings and IEEE Pervasive Computing.

In The Last Decade

Nan‐Wei Gong

22 papers receiving 907 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nan‐Wei Gong 639 386 237 164 108 22 928
Kui Wu 238 0.4× 231 0.6× 442 1.9× 129 0.8× 91 0.8× 53 1.1k
Leonardo Bonanni 630 1.0× 270 0.7× 52 0.2× 223 1.4× 82 0.8× 29 912
Karl D. D. Willis 571 0.9× 212 0.5× 112 0.5× 483 2.9× 75 0.7× 33 1.2k
Chin-Yi Cheng 350 0.5× 161 0.4× 400 1.7× 183 1.1× 34 0.3× 27 1.1k
Róbert Kovács 635 1.0× 358 0.9× 122 0.5× 196 1.2× 30 0.3× 36 1.1k
Rung‐Huei Liang 619 1.0× 144 0.4× 127 0.5× 302 1.8× 237 2.2× 74 1.1k
Hiroshi Ishii 535 0.8× 291 0.8× 95 0.4× 231 1.4× 49 0.5× 74 843
Hsin-Liu Kao 800 1.3× 533 1.4× 400 1.7× 154 0.9× 88 0.8× 61 1.1k
Lucio Tommaso De Paolis 326 0.5× 115 0.3× 88 0.4× 318 1.9× 31 0.3× 74 886
Anusha Withana 468 0.7× 383 1.0× 199 0.8× 98 0.6× 31 0.3× 61 795

Countries citing papers authored by Nan‐Wei Gong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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