Ruiying Cai

2.3k citations
34 papers · 1.7k indexed · 2 hit papers · h-index 17
Topics
Consumer Behavior in Brand Consumption and Identification (11 papers)Customer Service Quality and Loyalty (8 papers)Digital Marketing and Social Media (7 papers)

In The Last Decade

Ruiying Cai

31 papers receiving 1.6k citations

Hit Papers

Developing and validating a service robot integration wil...201920262021202320192024200400600

Peers

Ruiying Cai
Comparison fields: 5 of 94
  • Sociology and Political Science 895
  • Artificial Intelligence 683
  • Marketing 603
  • Social Psychology 364
  • Organizational Behavior and Human Resource Management 353
Replace Gabriele Pizzi with:
Gabriele Pizzi Italy
Alei Fan United States
Si Shi China
Arne De Keyser France
Vignesh Yoganathan United Kingdom
Wi‐Suk Kwon United States
Chiara Orsingher Italy
Nancy J. Sirianni United States
Jason L. Stienmetz Austria
Lars Meyer‐Waarden France
Ruiying Cai relative to Gabriele Pizzi Italy Gabriele Pizzi's profile →
Citations per field
00.5×1.5×2.2×
Gabriele Pizzi · 1×
Citations per year

Countries citing papers authored by Ruiying Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ruiying Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiying Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiying Cai. A scholar is included among the top collaborators of Ruiying Cai 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 Ruiying Cai. Ruiying Cai 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
4 2
5 5
6 32
7 26
8 1
9 1
10
Artificial intelligence: an overview of research trends and future directionsbreakdown →
78
11 13
12 4
13 1
14 8
15 73
16 28
17 5
18 116
19 48
20 14

About Ruiying Cai

Ruiying Cai is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Applied Psychology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (11 papers), Customer Service Quality and Loyalty (8 papers) and Digital Marketing and Social Media (7 papers). The work is most often cited by research in Marketing (603 citations), Information Systems and Management (307 citations) and Organizational Behavior and Human Resource Management (353 citations). Ruiying Cai has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include Doğan Gürsoy, Lu Lu, G. Christina, Xi Yu Leung, Hailin Qu, Lisa Cain, Ceridwyn King, Yao‐Chin Wang, Chun‐Chu Chen and Xing’an Xu. Their work appears in journals such as Journal of Business Research, Tourism Management and International Journal of Hospitality Management.

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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