Ping-Hsuan Han

115 total papers · 1.7k total citations
81 papers, 1.3k citations indexed

About

Ping-Hsuan Han is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ping-Hsuan Han has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Human-Computer Interaction, 21 papers in Cognitive Neuroscience and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ping-Hsuan Han's work include Virtual Reality Applications and Impacts (40 papers), Tactile and Sensory Interactions (21 papers) and Teleoperation and Haptic Systems (17 papers). Ping-Hsuan Han is often cited by papers focused on Virtual Reality Applications and Impacts (40 papers), Tactile and Sensory Interactions (21 papers) and Teleoperation and Haptic Systems (17 papers). Ping-Hsuan Han collaborates with scholars based in Taiwan, China and United States. Ping-Hsuan Han's co-authors include David M. Bartels, Yi‐Ping Hung, Paul W. Percival, Juan Dong, Kuan‐Wen Chen, Klaus Schmidt, Qingling Wang, Shiling Lu, Ning An and Chien-Hsing Chou and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and The Journal of Physical Chemistry.

In The Last Decade

Ping-Hsuan Han

72 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Ping-Hsuan Han 298 222 169 146 144 81 1.3k
Yong Hee Kim 37 0.1× 139 0.6× 175 1.0× 170 1.2× 401 2.8× 139 1.6k
Shuang Ma 73 0.2× 71 0.3× 180 1.1× 103 0.7× 178 1.2× 64 1.3k
Daniel J. Burnett 93 0.3× 40 0.2× 52 0.3× 378 2.6× 349 2.4× 51 1.7k
Yoshiaki Hayashi 109 0.4× 45 0.2× 321 1.9× 177 1.2× 637 4.4× 107 1.5k
D.A. Palmer 28 0.1× 129 0.6× 15 0.1× 245 1.7× 152 1.1× 57 1.2k
Masayuki Kaneda 64 0.2× 21 0.1× 46 0.3× 150 1.0× 429 3.0× 91 1.4k
Les Kirkup 113 0.4× 31 0.1× 531 3.1× 56 0.4× 640 4.4× 63 1.7k
Matthias Nagel 19 0.1× 61 0.3× 92 0.5× 246 1.7× 479 3.3× 85 1.6k
José R. Álvarez 21 0.1× 39 0.2× 89 0.5× 185 1.3× 277 1.9× 67 1.3k
Zeying Zhang 45 0.2× 59 0.3× 50 0.3× 227 1.6× 436 3.0× 89 1.1k

Countries citing papers authored by Ping-Hsuan Han

Since Specialization
Citations

This map shows the geographic impact of Ping-Hsuan Han'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 Ping-Hsuan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping-Hsuan Han more than expected).

Fields of papers citing papers by Ping-Hsuan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping-Hsuan Han. 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 Ping-Hsuan Han. The network helps show where Ping-Hsuan Han may publish in the future.

Co-authorship network of co-authors of Ping-Hsuan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ping-Hsuan Han. A scholar is included among the top collaborators of Ping-Hsuan Han 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 Ping-Hsuan Han. Ping-Hsuan Han 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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2026