Hailan Kuang

550 citations
70 papers · 361 indexed · h-index 10
Topics
Non-Invasive Vital Sign Monitoring (11 papers)Ocean Waves and Remote Sensing (9 papers)Heart Rate Variability and Autonomic Control (8 papers)
Partner nations
ChinaCanada

In The Last Decade

Hailan Kuang

59 papers receiving 341 citations

Peers

Hailan Kuang
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 123
  • Biomedical Engineering 76
  • Computer Networks and Communications 68
  • Electrical and Electronic Engineering 48
  • Cardiology and Cardiovascular Medicine 43
Replace Mohammad Kazem Moghimi with:
Mohammad Kazem Moghimi Iran
Jalel Chebil Malaysia
Ranyang Li China
Paolo Rota Italy
Jingao Xu China
Jan Lundgren Sweden
René Weller Germany
Xingfang Yuan China
Zhenjie Yao China
Hailan Kuang relative to Mohammad Kazem Moghimi Iran Mohammad Kazem Moghimi's profile →
Citations per field
00.5×10.8×
Mohammad Kazem Moghimi · 1×
Citations per year

Countries citing papers authored by Hailan Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Hailan Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailan Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Hailan Kuang. A scholar is included among the top collaborators of Hailan Kuang 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 Hailan Kuang. Hailan Kuang 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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2 1
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5 0
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8 1
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10 1
11 3
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13 3
14 25
15 16
16 52
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19 0
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Research on a very energy-efficient and low-delay flooding algorithm for wireless sensor network
5

About Hailan Kuang

Hailan Kuang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Oceanography, having authored 70 papers that have together received 361 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (11 papers), Ocean Waves and Remote Sensing (9 papers) and Heart Rate Variability and Autonomic Control (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (123 citations), Computer Networks and Communications (68 citations) and Signal Processing (26 citations). Hailan Kuang has collaborated with scholars based in China and Canada. Frequent co-authors include Xinhua Liu, Xiaolin Ma, Ruifang Li‐Gao, Tao Xie, William Perrie, Fangmin Li, Mohammed A. A. Al‐qaness, Wei Chen, Yiran Ding and Ruifang Li. Their work appears in journals such as Geophysical Research Letters, Sensors and IEEE Internet of Things Journal.

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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