Xiaoning Liu

498 total citations
33 papers, 210 citations indexed

About

Xiaoning Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaoning Liu has authored 33 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaoning Liu's work include Privacy-Preserving Technologies in Data (11 papers), Cryptography and Data Security (10 papers) and Geochemistry and Geologic Mapping (5 papers). Xiaoning Liu is often cited by papers focused on Privacy-Preserving Technologies in Data (11 papers), Cryptography and Data Security (10 papers) and Geochemistry and Geologic Mapping (5 papers). Xiaoning Liu collaborates with scholars based in China, Australia and Hong Kong. Xiaoning Liu's co-authors include Xingliang Yuan, Xun Yi, Yifeng Zheng, Bang Ye Wu, Jiyuan Shen, Ziyao Liu, Kwok‐Yan Lam, Cong Wang, Mingwen Tong and Qingtang Liu and has published in prestigious journals such as ACM Computing Surveys, Ecotoxicology and Environmental Safety and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Xiaoning Liu

27 papers receiving 199 citations

Peers

Xiaoning Liu
Comparison fields: 5 of 53
  • Artificial Intelligence 155
  • Information Systems 41
  • Computer Vision and Pattern Recognition 26
  • Computer Networks and Communications 20
  • Mechanics of Materials 13
Replace Fengda Zhang with:
Fengda Zhang China
Yuanfeng Song Hong Kong
Vinod J. Kadam India
Nishant Kumar India
Zekun Shi China
Minghong Fang United States
Jianming Li China
Di Chai Hong Kong
Burcu Can Türkiye
Fengda Zhang China View profile →
Citations per field, relative to Xiaoning Liu
Xiaoning Liu · 1×
Citations per year, relative to Xiaoning Liu
Xiaoning Liu · 1×

Countries citing papers authored by Xiaoning Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoning Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoning Liu. A scholar is included among the top collaborators of Xiaoning 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 Xiaoning Liu. Xiaoning 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
# Work Indexed citations
1 0
2 2
3 1
4 1
5 0
6 36
7 0
8 4
9 4
10 1
11 1
12 48
13 5
14 11
15 16
16 1
17 1
18 1
19 0
20
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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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