Xiaohong Wu

576 citations
22 papers · 356 · h-index 9

Impact in

Papers in

Xiaohong Wu

20 papers receiving 343 citations

Peers

Xiaohong Wu
Comparison fields: 5 of 62
  • Human-Computer Interaction 99
  • Marketing 119
  • Information Systems and Management 48
  • Sociology and Political Science 246
  • Literature and Literary Theory 36
Replace Ruoxi Qi with:
Ruoxi Qi United States
Mattia Rainoldi Austria
Gerrit Cziehso Germany
Hanyoung Go United States
Pankaj Vishwakarma India
Dario tom Dieck United Kingdom
Hee Jin Hur South Korea
Vahideh Arghashi Türkiye
Woo Bin Kim South Korea
Cheng Yi China
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Citations per field
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Ruoxi Qi · 1×
Citations per year

Countries citing papers authored by Xiaohong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Xiaohong Wu, 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 Xiaohong Wu Line = papers co-authored together Xiaohong Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202185
2 202171
3 202154
4 202337
5 202223
6 202214
7 202313
8 20209
9 20238
10 20238
11 20256
12
Sedimentary records: catastrophic marine flooding event occurred on Dongdao Island of South China Sea around 1024 AD
20076
13 20145
14 20254
15 20244
16 20103
17 20252
18 20252
19 20251
20 20251

About Xiaohong Wu

Xiaohong Wu is a scholar working on Sociology and Political Science, Marketing, Human-Computer Interaction, Organizational Behavior and Human Resource Management and Social Psychology, having authored 22 papers that have together received 356 indexed citations. Recurring topics across this work include Diverse Aspects of Tourism Research (10 papers), Digital Marketing and Social Media (7 papers), Consumer Behavior in Brand Consumption and Identification (7 papers), Virtual Reality Applications and Impacts (5 papers), Customer Service Quality and Loyalty (4 papers), Media Influence and Health (3 papers), Mobile Ad Hoc Networks (2 papers) and Culinary Culture and Tourism (2 papers). The work is most often cited by research in Human-Computer Interaction (99 citations), Marketing (119 citations), Information Systems and Management (48 citations), Sociology and Political Science (246 citations) and Literature and Literary Theory (36 citations). Xiaohong Wu has collaborated with scholars based in Macao and China. Frequent co-authors include Ivan Ka Wai Lai, Zhenyu Zhang, Zhenyu Zhang, Xiangqun Li, Rob Law, Zhengyong Wang, Bo Wang, Xiaohai He, Qingqing Deng and Wudao Yang. Their work appears in journals such as Journal of Hospitality and Tourism Technology, Current Issues in Tourism, Asia Pacific Journal of Tourism Research, Journal of Destination Marketing & Management and Information Technology & Tourism.

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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