Song‐Bin Guo

748 citations
23 papers · 354 indexed · 1 hit paper · h-index 11
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)Colorectal Cancer Surgical Treatments (4 papers)Lymphoma Diagnosis and Treatment (3 papers)
Journals
SHILAP Revista de lepidopterologíaIndustrial & Engineering Chemistry ResearchMolecular Cancer
Partner nations
ChinaJapanPoland

In The Last Decade

Song‐Bin Guo

21 papers receiving 351 citations

Hit Papers

Artificial intelligence alphafold model for molecular bio...2024202620252024204060

Peers

Song‐Bin Guo
Comparison fields: 5 of 90
  • Molecular Biology 167
  • Oncology 77
  • Cancer Research 71
  • Immunology 42
  • Pulmonary and Respiratory Medicine 38
Replace Xiaohua Tan with:
Xiaohua Tan China
Marwa Mohanad Egypt
Harish Muniyappa United States
Alexandra Wagner Germany
Shiqiang Shen China
Nasta Tanić Serbia
Giulia Pinton Italy
Charusheila Ramkumar United States
Song‐Bin Guo relative to Xiaohua Tan China Xiaohua Tan's profile →
Citations per field
00.5×2.6×
Xiaohua Tan · 1×
Citations per year

Countries citing papers authored by Song‐Bin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Bin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song‐Bin Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Bin Guo. A scholar is included among the top collaborators of Song‐Bin Guo 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 Song‐Bin Guo. Song‐Bin Guo 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
1 3
2 0
3 1
4 5
5 1
6 0
7 6
8 6
9
Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigationbreakdown →
60
10 11
11 1
12 9
13 14
14 14
15 18
16 26
17 31
18 56
19 2
20 32

About Song‐Bin Guo

Song‐Bin Guo is a scholar working on Health Informatics, Biological Psychiatry and Pathology and Forensic Medicine, having authored 23 papers that have together received 354 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Surgical Treatments (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (10 citations), Cancer Research (71 citations) and Oncology (77 citations). Song‐Bin Guo has collaborated with scholars based in China, Japan and Poland. Frequent co-authors include Xiao‐Peng Tian, Weijuan Huang, Hailong Li, Meng Yuan, Jing‐Kai Huang, Shigeo Manabe, Hui Luo, Osamu Wada, Weijuan Huang and Hiroyuki Yanagisawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Molecular Cancer.

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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