Narisa Zhao

448 citations
20 papers · 291 indexed · h-index 8
Topics
Complex Network Analysis Techniques (8 papers)Digital Marketing and Social Media (7 papers)Opinion Dynamics and Social Influence (5 papers)
Partner nations
ChinaSingaporeHong Kong

In The Last Decade

Narisa Zhao

18 papers receiving 274 citations

Peers

Narisa Zhao
Comparison fields: 5 of 67
  • Information Systems 120
  • Artificial Intelligence 87
  • Sociology and Political Science 78
  • Computer Networks and Communications 66
  • Marketing 40
Replace Yinghui Yang with:
Yinghui Yang United States
Inma Garcia Spain
Shimaa Ouf Egypt
Omar Bencharef Morocco
Huong Ha Australia
Bogdan Walek Czechia
Markus Schaal Ireland
Josep Lluís Ferrer Gomila Spain
Rui Gu China
S. Srinivasan United States
Narisa Zhao relative to Yinghui Yang United States Yinghui Yang's profile →
Citations per field
00.5×4.5×
Yinghui Yang · 1×
Citations per year

Countries citing papers authored by Narisa Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Narisa Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narisa Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Narisa Zhao. A scholar is included among the top collaborators of Narisa Zhao 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 Narisa Zhao. Narisa Zhao 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 8
2 17
3 1
4 21
5 8
6 37
7 45
8 3
9 1
10 7
11 118
12 5
13 1
14 1
15 1
16
Product Approximate Reasoning of Online Reviews Applying to Consumer Affective and Psychological Motives Research
3
17 2
18 8
19 1
20 3

About Narisa Zhao

Narisa Zhao is a scholar working on Statistical and Nonlinear Physics, Business and International Management and Marketing, having authored 20 papers that have together received 291 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Digital Marketing and Social Media (7 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (10 citations), Information Systems (120 citations) and Marketing (40 citations). Narisa Zhao has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Wenbo Wang, Ping Wang, Dusit Niyato, Xin Wen, Huan Gao, Xianfeng Zhang, Zhiwei Zhou, Junming Zhang, Ying Liu and Xiaojun Liu. Their work appears in journals such as Journal of Business Research, IEEE Access and Sustainability.

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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