Bing Song
About
Bing Song is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty.
According to data from OpenAlex, Bing Song has authored 63 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Control and Systems Engineering, 44 papers in Mechanical Engineering and 13 papers in Statistics, Probability and Uncertainty. Recurrent topics in Bing Song’s work include Fault Detection and Control Systems (54 papers), Mineral Processing and Grinding (42 papers) and Machine Fault Diagnosis Techniques (14 papers). Bing Song is often cited by papers focused on Fault Detection and Control Systems (54 papers), Mineral Processing and Grinding (42 papers) and Machine Fault Diagnosis Techniques (14 papers). Bing Song collaborates with scholars based in China, Canada and Italy. Bing Song's co-authors include Hongbo Shi, Shuai Tan, Yang Tao, Hongbo Shi, Xinggui Zhou, Bo Zhao, Huaicheng Yan, Shahrooz Rabizadeh, Charles Vaske and Christopher Szeto and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Industrial & Engineering Chemistry Research and IEEE Access.
In The Last Decade
Co-authorship network of co-authors of Bing Song i
Fields of papers citing papers by Bing Song
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Bing Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bing Song may publish in the future.
Countries citing papers authored by Bing Song
Since SpecializationCitations
This map shows the geographic impact of Bing 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 Bing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Song more than expected).
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