Xiangbin Yan

3.5k citations
101 papers · 2.5k · h-index 27

Impact in

Papers in

Xiangbin Yan

98 papers receiving 2.4k citations

Peers

Xiangbin Yan
Comparison fields: 5 of 146
  • Information Systems and Management 430
  • Marketing 524
  • Organizational Behavior and Human Resource Management 279
  • Communication 175
  • Management Information Systems 191
Replace Richard Evans with:
Richard Evans United Kingdom
Nader Ale Ebrahim Malaysia
Yeming Gong France
J. Christopher Westland United States
Kawaljeet Kaur Kapoor United Kingdom
Jun Sun United States
Craig Standing Australia
Zhiqiang Zheng United States
Purva Grover India
Bongsug Chae United States
Xiangbin Yan relative to Richard Evans United Kingdom Richard Evans's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Xiangbin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiangbin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiangbin Yan, 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 Xiangbin Yan Line = papers co-authored together Xiangbin Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019222
2 2014149
3 2013129
4 2018120
5 2015104
6 2013103
7 2020102
8 201480
9 202173
10 202157
11 201853
12 201947
13 202145
14 201244
15 201943
16 201242
17 202142
18 201940
19 202439
20 202236

About Xiangbin Yan

Xiangbin Yan is a scholar working on Sociology and Political Science, Information Systems and Management, Organizational Behavior and Human Resource Management, Marketing and Statistical and Nonlinear Physics, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (31 papers), Technology Adoption and User Behaviour (17 papers), Customer Service Quality and Loyalty (16 papers), Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (6 papers), Knowledge Management and Sharing (6 papers), Impact of Technology on Adolescents (6 papers) and Consumer Retail Behavior Studies (6 papers). The work is most often cited by research in Information Systems and Management (430 citations), Marketing (524 citations), Organizational Behavior and Human Resource Management (279 citations), Communication (175 citations) and Management Information Systems (191 citations). Xiangbin Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Adnan Muhammad Shah, Jiahua Jin, Weiguo Fan, Yong Tan, Syed Asad Ali Shah, Qin Chen, Yue Chen, W Gu, Chen Wang and Qing Li. Their work appears in journals such as Reliability Engineering & System Safety, Information Technology and People, Journal of Medical Internet Research, Decision Support Systems and Scientometrics.

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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