Xiao Liu

11.3k citations
433 papers · 6.7k indexed · 1 hit paper · h-index 44
Topics
Cloud Computing and Resource Management (62 papers)IoT and Edge/Fog Computing (46 papers)Scientific Computing and Data Management (34 papers)

In The Last Decade

Xiao Liu

391 papers receiving 6.5k citations

Hit Papers

Interaction Entropy: A New Paradigm for Highly Efficient ...20162026201920222016100200300

Peers

Xiao Liu
Comparison fields: 5 of 210
  • Information Systems 2.2k
  • Computer Networks and Communications 2.2k
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 963
  • Information Systems and Management 672
Replace Omer Rana with:
Omer Rana United Kingdom
Felix Naumann Germany
Shiping Chen Australia
Bu‐Sung Lee Singapore
Ali Ghodsi Canada
Zheng Yan China
Václav Snåšel Czechia
Ling Liu United States
Lu Liu China
H. V. Jagadish United States
Xiao Liu relative to Omer Rana United Kingdom Omer Rana's profile →
Citations per field
00.5×1.5×
Omer Rana · 1×
Citations per year

Countries citing papers authored by Xiao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Liu. A scholar is included among the top collaborators of Xiao 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 Xiao Liu. Xiao 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
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Convergence Comparison of Several Iteration Algorithms for the Common Fixed Point Problems
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About Xiao Liu

Xiao Liu is a scholar working on Information Systems, Computer Networks and Communications and Software, having authored 433 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (62 papers), IoT and Edge/Fog Computing (46 papers) and Scientific Computing and Data Management (34 papers). The work is most often cited by research in Information Systems (2.2k citations), Information Systems and Management (672 citations) and Computer Networks and Communications (2.2k citations). Xiao Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yun Yang, Dong Yuan, Jinjun Chen, John Z. H. Zhang, Lili Duan, Zhiwei Ni, Zhangjun Wu, Kannan Srinivasan, Xuejun Li and Kwok‐Kee Wei. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Environmental Science & Technology.

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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