Xiaodan Yu

29 papers receiving 435 citations

Peers

Xiaodan Yu
Comparison fields: 5 of 107
  • Obstetrics and Gynecology 58
  • Safety, Risk, Reliability and Quality 39
  • Management Information Systems 29
  • Management Science and Operations Research 40
  • Computer Science Applications 16
Replace Priti Gupta with:
Priti Gupta India
Marina Andrade Portugal
Wafaa Alsaggaf Saudi Arabia
Tessy Badriyah Indonesia
Fiaz Majeed Pakistan
Anna Markella Antoniadi Ireland
Silvia Alayón Spain
Kevin Gary United States
Zixin Lan China
Abdulkarim A. Oloyede Nigeria
Xiaodan Yu relative to Priti Gupta India Priti Gupta's profile →
Citations per field
00.5×9.8×
Priti Gupta · 1×
Citations per year

Countries citing papers authored by Xiaodan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014108
2 201460
3 201540
4 201335
5 202131
6 202024
7 201322
8 201919
9 202117
10 201712
11 202111
12 202210
13 20208
14 20148
15 20227
16 20187
17 20216
18 20226
19 20145
20 20173

About Xiaodan Yu

Xiaodan Yu is a scholar working on Communication, Social Psychology, Biomedical Engineering, Strategy and Management and Management Information Systems, having authored 34 papers that have together received 451 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (5 papers), Team Dynamics and Performance (5 papers), Advanced Fiber Optic Sensors (3 papers), Big Data and Business Intelligence (3 papers), Digital Marketing and Social Media (3 papers), Consumer Market Behavior and Pricing (2 papers), Face and Expression Recognition (2 papers) and Gestational Diabetes Research and Management (2 papers). The work is most often cited by research in Obstetrics and Gynecology (58 citations), Safety, Risk, Reliability and Quality (39 citations), Management Information Systems (29 citations), Management Science and Operations Research (40 citations) and Computer Science Applications (16 citations). Xiaodan Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Stacie Petter, Zhiquan Qi, D. V. Griffiths, Ling Li, Lin Zhang, Jun Zhang, Sarah A. Keim, Lisu Huang, Yong Shi and Deepak Khazanchi. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Computer Information Systems, Journal of Medical Internet Research, Group Decision and Negotiation and Microchemical Journal.

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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