Xudong Liu

907 citations
40 papers · 570 indexed · h-index 13
Topics
Mobile Crowdsensing and Crowdsourcing (9 papers)Software Engineering Research (8 papers)Software System Performance and Reliability (8 papers)
Partner nations
ChinaAustraliaCanada

In The Last Decade

Xudong Liu

37 papers receiving 563 citations

Peers

Xudong Liu
Comparison fields: 5 of 51
  • Artificial Intelligence 285
  • Information Systems 274
  • Computer Networks and Communications 117
  • Software 98
  • Computer Science Applications 76
Replace Loredana Parasiliti Provenza with:
Loredana Parasiliti Provenza Italy
Shurui Zhou United States
Pavol Návrat Slovakia
Nadia Polikarpova United States
Toufique Ahmed United States
Inah Omoronyia United Kingdom
Tia Newhall United States
Haiyan Zhao China
Jeffrey Stylos United States
Eddie Antonio Santos Canada
Xudong Liu relative to Loredana Parasiliti Provenza Italy Loredana Parasiliti Provenza's profile →
Citations per field
00.5×10×15×21.8×
Loredana Parasiliti Provenza · 1×
Citations per year

Countries citing papers authored by Xudong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xudong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xudong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xudong Liu. A scholar is included among the top collaborators of Xudong Liu 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 Xudong Liu. Xudong Liu 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 3
2 0
3 0
4 2
5 5
6 18
7 35
8 1
9 12
10 30
11 14
12 52
13 1
14 7
15 18
16 5
17
Incorporating external knowledge into crowd intelligence for more specific knowledge acquisition
16
18 8
19 7
20 2

About Xudong Liu

Xudong Liu is a scholar working on Computer Science Applications, Software and Information Systems, having authored 40 papers that have together received 570 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (9 papers), Software Engineering Research (8 papers) and Software System Performance and Reliability (8 papers). The work is most often cited by research in Software (98 citations), Computer Science Applications (76 citations) and Information Systems (274 citations). Xudong Liu has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Hailong Sun, Hongyu Zhang, Xu Wang, Jian Zhang, Richong Zhang, Li Chen, Samuel Mensah, Yongyi Mao, Siping Zhang and Jiqiang Zhang. Their work appears in journals such as Information Sciences, Nonlinear Dynamics and Applied Intelligence.

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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