Teng Han

3.4k citations
91 papers · 1.8k · h-index 23

Impact in

Papers in

Teng Han

86 papers receiving 1.8k citations

Peers

Teng Han
Comparison fields: 5 of 146
  • Human-Computer Interaction 486
  • Cognitive Neuroscience 407
  • Business and International Management 28
  • Aging 24
  • Oncology 281
Replace Min‐Chul Park with:
Min‐Chul Park South Korea
Beng Ti Ang Singapore
Gregory J. Gerling United States
Richard A. Young United States
Haruo Noma Japan
Minglu Zhu China
Feng Wen China
Giorgio Giatsidis United States
Lyndon da Cruz United Kingdom
Naoya Koizumi Japan
Teng Han relative to Min‐Chul Park South Korea Min‐Chul Park's profile →
Citations per field
00.5×2.9×
Min‐Chul Park · 1×
Citations per year

Countries citing papers authored by Teng Han

Since Specialization
Citations

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

Fields of papers citing papers by Teng Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Teng Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teng Han Line = papers co-authored together Teng Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018251
2 2017173
3 201778
4 202377
5 202071
6 201867
7 202365
8 201562
9 201260
10 202046
11 202043
12 201643
13 201137
14 201536
15 201334
16 202132
17 201532
18 201630
19 202030
20 201728

About Teng Han

Teng Han is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Biomedical Engineering, Physiology and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (34 papers), Interactive and Immersive Displays (26 papers), Virtual Reality Applications and Impacts (16 papers), Advanced Sensor and Energy Harvesting Materials (15 papers), Obstructive Sleep Apnea Research (11 papers), Neuroscience of respiration and sleep (8 papers), Augmented Reality Applications (7 papers) and Teleoperation and Haptic Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (486 citations), Cognitive Neuroscience (407 citations), Business and International Management (28 citations), Aging (24 citations) and Oncology (281 citations). Teng Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pourang Irani, Lukas E. Dow, Emma M. Schatoff, María Paz Zafra, Sriram Subramanian, Scott W. Lowe, Jason Alexander, Sukanya Goswami, Feng Tian and Alyna Katti. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of Clinical Sleep Medicine, Cancer Discovery, IEEE Transactions on Visualization and Computer Graphics and Nature Communications.

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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