Haibo Song

595 citations
51 papers · 392 indexed · h-index 10
Topics
Radar Systems and Signal Processing (11 papers)Cardiac Structural Anomalies and Repair (10 papers)Advanced SAR Imaging Techniques (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
ChinaUnited States

In The Last Decade

Haibo Song

45 papers receiving 385 citations

Peers

Haibo Song
Comparison fields: 5 of 73
  • Surgery 125
  • Aerospace Engineering 119
  • Electrical and Electronic Engineering 96
  • Epidemiology 93
  • Cardiology and Cardiovascular Medicine 71
Replace Christopher Petersen with:
Christopher Petersen United States
Shouyong Wang China
Per Steinar Halvorsen Norway
Dingwen Li United States
Raffaele De Simone Germany
M Marsili Italy
Duncan Thomson Australia
Taichi Yoshida Japan
Yu Yin China
B. Dawson United Kingdom
Haibo Song relative to Christopher Petersen United States Christopher Petersen's profile →
Citations per field
00.5×10×20×30×40×48×
Christopher Petersen · 1×
Citations per year

Countries citing papers authored by Haibo Song

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Song. A scholar is included among the top collaborators of Haibo Song 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 Haibo Song. Haibo Song 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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5 19
6 8
7 2
8 9
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10 9
11 0
12 7
13 3
14 7
15 42
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18 26
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Down-movement of the fresh-saline groundwater interface in the middle of the Hebei Plain under the condition of exploitation
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20 23

About Haibo Song

Haibo Song is a scholar working on Critical Care and Intensive Care Medicine, Aerospace Engineering and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 392 indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (11 papers), Cardiac Structural Anomalies and Repair (10 papers) and Advanced SAR Imaging Techniques (9 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (37 citations), Aerospace Engineering (119 citations) and Developmental Neuroscience (16 citations). Haibo Song has collaborated with scholars based in China and United States. Frequent co-authors include Lingxiao Zhu, Gongjian Wen, Yuanyuan Liang, Jin Liu, Ke Lin, Changping Gan, Kaiyu Tao, Dongdong Li, Yingkang Shi and Raphael C. Lui. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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