Yingying Hu

679 citations
34 papers · 487 indexed · h-index 10
Topics
Digital Marketing and Social Media (4 papers)Technology Adoption and User Behaviour (4 papers)Electric Vehicles and Infrastructure (3 papers)
Partner nations
ChinaIndiaBulgaria

In The Last Decade

Yingying Hu

27 papers receiving 474 citations

Peers

Yingying Hu
Comparison fields: 5 of 100
  • Electrical and Electronic Engineering 199
  • Renewable Energy, Sustainability and the Environment 143
  • Marketing 104
  • Automotive Engineering 69
  • Pollution 67
Replace Kumar Shalender with:
Kumar Shalender India
Mee Ryoung Song South Korea
V. V. Ravi Kumar India
Nitika Sharma India
Roberto Ruggieri Italy
Yawei Wang United States
Christian Schlereth Germany
Chaoqun Ma China
Vishal Singh Patyal India
Chang He China
Yingying Hu relative to Kumar Shalender India Kumar Shalender's profile →
Citations per field
00.5×1.7×
Kumar Shalender · 1×
Citations per year

Countries citing papers authored by Yingying Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yingying Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingying Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Hu. A scholar is included among the top collaborators of Yingying Hu 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 Yingying Hu. Yingying Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
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5 3
6 0
7 12
8 2
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11 1
12 10
13 2
14 11
15
Anthropomorphism of Intelligent Personal Assistants (IPAs): Antecedents and Consequences
16
16 3
17
A Proposed Theoretical Model of Discontinuous Usage of Voice-Activated Intelligent Personal Assistants (IPAs)
1
18 256
19
Why Consumers Need Diversity? Understanding Consumers' Multiple Usage of Competing Mobile Applications from a Variety-seeking Perspective
2
20 5

About Yingying Hu

Yingying Hu is a scholar working on Information Systems and Management, Marketing and Experimental and Cognitive Psychology, having authored 34 papers that have together received 487 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (4 papers), Technology Adoption and User Behaviour (4 papers) and Electric Vehicles and Infrastructure (3 papers). The work is most often cited by research in Marketing (104 citations), Renewable Energy, Sustainability and the Environment (143 citations) and Information Systems and Management (56 citations). Yingying Hu has collaborated with scholars based in China, India and Bulgaria. Frequent co-authors include Xiuhong He, Wenjie Zhan, Zhanwu Sheng, Hao‐Fu Dai, Weihong Ma, Siyi Pan, Hui Wang, Sumeet Gupta, Ling Zhao and Cuicui Cao. Their work appears in journals such as Journal of Cleaner Production, Molecules and Frontiers in Microbiology.

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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