Peng Qin

502 citations
17 papers · 282 indexed · 1 hit paper · h-index 7
Topics
Topic Modeling (3 papers)Blockchain Technology Applications and Security (3 papers)Natural Language Processing Techniques (3 papers)
Partner nations
MacaoChinaNetherlands

In The Last Decade

Peng Qin

14 papers receiving 261 citations

Hit Papers

How to Promote User Purchase in Metaverse? A Systematic L...2021202620222024202150100150200

Peers

Peng Qin
Comparison fields: 5 of 70
  • Human-Computer Interaction 122
  • Information Systems 69
  • Artificial Intelligence 58
  • Marketing 56
  • Information Systems and Management 44
Replace Tan Wei-ming with:
Tan Wei-ming China
Malte Teichmann Germany
Saeed Banaeian Far Iran
Kanchan Patil India
Peter Fernández United States
Dimitrios Koukopoulos Greece
Nor Laily Hashim Malaysia
Tomonari Kamba Japan
Bruce E. Massis United States
Janice Rohn United States
Peng Qin relative to Tan Wei-ming China Tan Wei-ming's profile →
Citations per field
00.5×1.7×
Tan Wei-ming · 1×
Citations per year

Countries citing papers authored by Peng Qin

Since Specialization
Citations

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

Fields of papers citing papers by Peng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Qin

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 0
5 8
6 6
7 10
8
How to Promote User Purchase in Metaverse? A Systematic Literature Review on Consumer Behavior Research and Virtual Commerce Application Designbreakdown →
201
9 5
10 13
11 1
12 5
13 3
14 10
15 1
16 2
17 15

About Peng Qin

Peng Qin is a scholar working on Management Information Systems, Computer Vision and Pattern Recognition and Ecological Modeling, having authored 17 papers that have together received 282 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Blockchain Technology Applications and Security (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (122 citations), Information Systems and Management (44 citations) and Marketing (56 citations). Peng Qin has collaborated with scholars based in Macao, China and Netherlands. Frequent co-authors include Jingzhi Guo, Tan Wei-ming, Bingqing Shen, Lin‐Shuang Zhao, Fang Wu, Yu Yan, Mingyang Yu, Jie Yang, Simon Fong and Shuaihe Zhuo. Their work appears in journals such as IEEE Access, Chaos Solitons & Fractals and Future Generation Computer Systems.

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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