Bo Song

790 citations
54 papers · 499 indexed · h-index 12
Topics
Bioinformatics and Genomic Networks (9 papers)Remote Sensing and LiDAR Applications (4 papers)3D Surveying and Cultural Heritage (4 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of BacteriologyIEEE Access

In The Last Decade

Bo Song

49 papers receiving 480 citations

Peers

Bo Song
Comparison fields: 5 of 125
  • Safety, Risk, Reliability and Quality 104
  • Artificial Intelligence 87
  • Transportation 84
  • Molecular Biology 78
  • Computer Vision and Pattern Recognition 53
Replace Md. Al Mamun with:
Md. Al Mamun Bangladesh
Misbah Ahmad Pakistan
Weizhe Liu China
Antonio Sutera Belgium
M. Saadatseresht Iran
Nan Zhou China
Christian Dogbé France
Shiyin Li China
X. X. Ding China
Carole Dulong United States
Bo Song relative to Md. Al Mamun Bangladesh Md. Al Mamun's profile →
Citations per field
00.5×11.6×
Md. Al Mamun · 1×
Citations per year

Countries citing papers authored by Bo Song

Since Specialization
Citations

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

Fields of papers citing papers by Bo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Song. A scholar is included among the top collaborators of Bo 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 Bo Song. Bo 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
1 1
2 5
3 0
4 15
5 21
6 9
7 1
8 4
9 3
10 107
11
Comparative Analysis of Macro and Micro Models for Zonal Crash Prediction
5
12 3
13 6
14 1
15
Sedimentary Characteristics and Tectonic Setting of the Middle Triassic Pingxiang Basin, Guangxi
1
16 13
17
Investigation on Emergency Equipment for Metro Disasters in Beijing,Tokyo and Pusan City
1
18
Spatial and Temporal Variations of the Stable Isotopes in Snowpacks and Glacial Runoff in Different Types of Glacier Areas in China
3
19 1
20 1

About Bo Song

Bo Song is a scholar working on Geology, Safety, Risk, Reliability and Quality and Transportation, having authored 54 papers that have together received 499 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Remote Sensing and LiDAR Applications (4 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Transportation (84 citations), Safety, Risk, Reliability and Quality (104 citations) and Occupational Therapy (29 citations). Bo Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ahmet Saçan, Helai Huang, Mohamed Abdel‐Aty, Qiang Zeng, Jaeyoung Lee, Pengpeng Xu, Guoqing Zhou, Jiasheng Xu, Xiaohua Hu and Jianliang Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and IEEE Access.

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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