Mo Liang

402 citations
4 papers · 323 · 1 hit paper · h-index 3

Impact in

Papers in

    • Digital Marketing and Social Media 2
    • Consumer Behavior in Brand Consumption and Identification 2
    • Environmental Sustainability in Business 1
    • Service and Product Innovation 1

Mo Liang

4 papers receiving 318 citations

Mo Liang's Hit Papers

A bimodal soft electronic skin for tactile and touchless interaction in real time 2019 · 284 citations
2840+2+4Years since publication50100150200250

Peers

Mo Liang
Comparison fields: 5 of 52
  • Human-Computer Interaction 50
  • Cognitive Neuroscience 138
  • Biomedical Engineering 245
  • Polymers and Plastics 51
  • Developmental and Educational Psychology 18
Replace Mohit Garg with:
Mohit Garg India
Tianpei Xu China
Radu Chirila United Kingdom
Wansheng Lin China
Saekwang Nam South Korea
Jianlong Hong China
Florian Fischer Germany
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Bongje Park South Korea
Seokyeong Lee South Korea
Mo Liang relative to Mohit Garg India Mohit Garg's profile →
Citations per field
00.5×2.8×
Mohit Garg · 1×
Citations per year

Countries citing papers authored by Mo Liang

Since Specialization
Citations

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

Fields of papers citing papers by Mo Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mo Liang, 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 Mo Liang Line = papers co-authored together Mo Liang links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Mo Liang

Mo Liang is a scholar working on Sociology and Political Science, Marketing, Social Psychology, Cognitive Neuroscience and Human-Computer Interaction, having authored 4 papers that have together received 323 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (2 papers), Digital Marketing and Social Media (2 papers), Tactile and Sensory Interactions (1 paper), Interactive and Immersive Displays (1 paper), Motivation and Self-Concept in Sports (1 paper), Environmental Sustainability in Business (1 paper), Educational Games and Gamification (1 paper) and Service and Product Innovation (1 paper). The work is most often cited by research in Human-Computer Interaction (50 citations), Cognitive Neuroscience (138 citations), Biomedical Engineering (245 citations), Polymers and Plastics (51 citations) and Developmental and Educational Psychology (18 citations). Mo Liang has collaborated with scholars based in China, Germany and Austria. Frequent co-authors include Xu Wang, Ge Jin, Shengqiang Zhou, Gilbert Santiago Cañón Bermúdez, Changan Wang, Michael Drack, Rico Illing, J. Faßbender, Martin Kaltenbrunner and Denys Makarov. Their work appears in journals such as Frontiers in Psychology, Nature Communications and Journal of Consumer Behaviour.

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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