Liuliu Fu

555 citations
20 papers · 384 · h-index 10

Impact in

Papers in

Liuliu Fu

17 papers receiving 372 citations

Peers

Liuliu Fu
Comparison fields: 5 of 77
  • Industrial and Manufacturing Engineering 151
  • Management Information Systems 110
  • Management of Technology and Innovation 39
  • Medical Laboratory Technology 6
  • Information Systems 81
Replace Wided Guédria with:
Wided Guédria France
Sergio Luna United States
Emil Blixt Hansen Denmark
Yongping Xie China
Nick Szirbik Netherlands
Didem Gürdür Sweden
Jiang‐Liang Hou Taiwan
Anjee Gorkhali United States
Assadaporn Sapsomboon Thailand
Amal Elgammal Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Liuliu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Liuliu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020130
2 201079
3 202032
4 201927
5 201221
6 201620
7
Towards Quality of Data Standards: Empirical Findings from XBRL
200917
8 201714
9 201412
10 200911
11 20156
12 20195
13 20114
14 20222
15 20162
16 20221
17 20141
18
User Experiments of a Social, Faceted Multimedia Classification System
20110
19
Building Dynamic Image Collections from Internet
20100
20
TOWARDS QUALITY OF DATA STANDARDS : EMPIRICAL FINDINGS FROM XBRL Research-in-Progress
20090

About Liuliu Fu

Liuliu Fu is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, having authored 20 papers that have together received 384 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (4 papers), Financial Reporting and XBRL (4 papers), Data Quality and Management (3 papers), Quality and Supply Management (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Digital Transformation in Industry (2 papers), Scheduling and Optimization Algorithms (2 papers) and Evacuation and Crowd Dynamics (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (151 citations), Management Information Systems (110 citations), Management of Technology and Innovation (39 citations), Medical Laboratory Technology (6 citations) and Information Systems (81 citations). Liuliu Fu has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Xiaobo Xu, Yong Chen, Wei Xue, Zhan Shi, Yongping Xie, Hongwei Zhu, Li Wang, Wei Xu, Lida Xu and Wenan Tan. Their work appears in journals such as Journal of Management Analytics, Systems Research and Behavioral Science, Library Hi Tech, Information Technology and Management and Journal of the Association for Information Systems.

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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