Haipeng Mi

72 papers receiving 509 citations

Peers

Haipeng Mi
Comparison fields: 5 of 91
  • Human-Computer Interaction 217
  • Cognitive Neuroscience 148
  • Computer Science Applications 32
  • Computer Vision and Pattern Recognition 85
  • Mechanical Engineering 111
Replace Fangtian Ying with:
Fangtian Ying China
Tanja Döring Germany
Reto Wettach Germany
Jean‐Baptiste Labrune United States
Esben Warming Pedersen Denmark
Dávid Lakatos United States
Florian Perteneder Austria
Miguel Bruns Netherlands
Paul Strohmeier Germany
Haipeng Mi relative to Fangtian Ying China Fangtian Ying's profile →
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Citations per year

Countries citing papers authored by Haipeng Mi

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haipeng Mi, 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 Haipeng Mi Line = papers co-authored together Haipeng Mi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201933
3 202125
4 201624
5 202321
6 202320
7 200920
8 202319
9 201717
10 202317
11 202014
12 202212
13 201111
14 202211
15 20119
16 20119
17 20199
18 20118
19 20208
20 20257

About Haipeng Mi

Haipeng Mi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Mechanical Engineering, having authored 86 papers that have together received 518 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (23 papers), Innovative Human-Technology Interaction (14 papers), Social Robot Interaction and HRI (13 papers), Tactile and Sensory Interactions (13 papers), Modular Robots and Swarm Intelligence (11 papers), Augmented Reality Applications (11 papers), Teaching and Learning Programming (7 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). The work is most often cited by research in Human-Computer Interaction (217 citations), Cognitive Neuroscience (148 citations), Computer Science Applications (32 citations), Computer Vision and Pattern Recognition (85 citations) and Mechanical Engineering (111 citations). Haipeng Mi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Masanori Sugimoto, Tianyu Yu, Hiroshi Ishii, Jifei Ou, Mi Tian, Xiang Yu, Bo Liang, Di Liu, Liyuan Wang and Yingqing Xu. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Applied Psychology Health and Well-Being, Atmospheric Pollution Research, Measuring Business Excellence and Proceedings of the ACM on Human-Computer Interaction.

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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