Baisong Wang

460 citations
17 papers · 341 indexed · h-index 11
Topics
Advanced X-ray and CT Imaging (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Thermal Expansion and Ionic Conductivity (3 papers)

In The Last Decade

Baisong Wang

16 papers receiving 334 citations

Peers

Baisong Wang
Comparison fields: 5 of 66
  • Radiology, Nuclear Medicine and Imaging 171
  • Biomedical Engineering 137
  • Pulmonary and Respiratory Medicine 51
  • Oncology 33
  • Endocrinology, Diabetes and Metabolism 29
Replace George D. Harp with:
George D. Harp United States
Yongqiang Yu China
Gordana Ivanac Croatia
Gilles Allenbach Switzerland
F. Zandrino Italy
Roberta Assante Italy
Paul N. Malcolm United Kingdom
Gideon Strich United States
Hildebrand Dijkstra Netherlands
Baisong Wang relative to George D. Harp United States George D. Harp's profile →
Citations per field
00.5×
George D. Harp · 1×
Citations per year

Countries citing papers authored by Baisong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baisong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baisong Wang

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 0
3 2
4 32
5 4
6 15
7 12
8 29
9 18
10 29
11 16
12 54
13 3
14 13
15 87
16 24
17
MRI diagnosis in meniscal tears:a Meta analysis
1

About Baisong Wang

Baisong Wang is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Thermal Expansion and Ionic Conductivity (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (171 citations), Biomedical Engineering (137 citations) and Gastroenterology (12 citations). Baisong Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huan Zhang, Zilai Pan, Fuhua Yan, Lianjun Du, Bei Ding, Lifang Pang, Chao Yan, Kemin Chen, Qi Song and Cen Shi. Their work appears in journals such as PLoS ONE, Journal of Alloys and Compounds and Human Brain Mapping.

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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