Shangdong Liu

577 citations
67 papers · 286 indexed · h-index 9
Topics
Advanced Neural Network Applications (9 papers)Network Security and Intrusion Detection (7 papers)Video Surveillance and Tracking Methods (7 papers)

In The Last Decade

Shangdong Liu

52 papers receiving 278 citations

Peers

Shangdong Liu
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 106
  • Artificial Intelligence 77
  • Computer Networks and Communications 58
  • Information Systems 52
  • Global and Planetary Change 27
Replace Syam Machinathu Parambil Gangadharan with:
Syam Machinathu Parambil Gangadharan India
Weifeng Lyu China
Da Chen China
Xinxin Zhou China
Manel Ayadi Saudi Arabia
Honghui Fan China
Misbah Ahmad South Korea
Jianping Zhao China
Deepika Ghai India
Shang Ma China
Shangdong Liu relative to Syam Machinathu Parambil Gangadharan India Syam Machinathu Parambil Gangadharan's profile →
Citations per field
00.5×1.6×
Syam Machinathu Parambil Gangadharan · 1×
Citations per year

Countries citing papers authored by Shangdong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shangdong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangdong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shangdong Liu. A scholar is included among the top collaborators of Shangdong 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 Shangdong Liu. Shangdong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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#WorkIndexed citations
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About Shangdong Liu

Shangdong Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 67 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Network Security and Intrusion Detection (7 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Computer Networks and Communications (58 citations) and Artificial Intelligence (77 citations). Shangdong Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yimu Ji, Fei Wu, Xiao‐Yuan Jing, Ruchuan Wang, Jing He, Tianliang Liu, Jiebo Luo, Fei Chen, Xiaoying Xiao and Guangwei Gao. Their work appears in journals such as The Science of The Total Environment, ACS Applied Materials & Interfaces and IEEE Access.

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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