Junliang Liu

1.1k citations
34 papers · 741 indexed · 1 hit paper · h-index 8
Topics
Advanced Optical Sensing Technologies (10 papers)Infrared Target Detection Methodologies (8 papers)Advanced Fluorescence Microscopy Techniques (8 papers)
Partner nations
ChinaMontenegro

In The Last Decade

Junliang Liu

28 papers receiving 709 citations

Hit Papers

Convolutional neural networks for time series classification20172026202020232017100200300400500

Peers

Junliang Liu
Comparison fields: 5 of 121
  • Artificial Intelligence 262
  • Signal Processing 190
  • Electrical and Electronic Engineering 146
  • Computer Vision and Pattern Recognition 99
  • Biomedical Engineering 78
Replace Huanzhang Lu with:
Huanzhang Lu China
Xiao Zhang China
Sungho Kim South Korea
Subhash Challa Australia
Bendong Zhao China
Dana Lahat France
Yan Zhou China
Cheolkon Jung China
Haidi Ibrahim Malaysia
Junliang Liu relative to Huanzhang Lu China Huanzhang Lu's profile →
Citations per field
00.5×1.5×
Huanzhang Lu · 1×
Citations per year

Countries citing papers authored by Junliang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junliang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junliang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Junliang Liu. A scholar is included among the top collaborators of Junliang 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 Junliang Liu. Junliang 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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Convolutional neural networks for time series classificationbreakdown →
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Multi-channel data acquisition system based on MSC1210Y5
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About Junliang Liu

Junliang Liu is a scholar working on Instrumentation, Biophysics and Media Technology, having authored 34 papers that have together received 741 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (10 papers), Infrared Target Detection Methodologies (8 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). The work is most often cited by research in Signal Processing (190 citations), Instrumentation (50 citations) and Artificial Intelligence (262 citations). Junliang Liu has collaborated with scholars based in China and Montenegro. Frequent co-authors include Huanzhang Lu, Bendong Zhao, Dongya Wu, Shangfeng Chen, Yongfu Li, Zhaojun Liu, Ivan Stojmenović, Zheng Yang, Jiaxiong Fang and Lei Ding. Their work appears in journals such as Journal of Applied Physics, Optics Letters and Optics Express.

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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