Shao-Bo Lin
About
Shao-Bo Lin is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Shao-Bo Lin has authored 60 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 27 papers in Computational Mechanics and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shao-Bo Lin’s work include Neural Networks and Applications (23 papers), Sparse and Compressive Sensing Techniques (23 papers) and Machine Learning and ELM (14 papers). Shao-Bo Lin is often cited by papers focused on Neural Networks and Applications (23 papers), Sparse and Compressive Sensing Techniques (23 papers) and Machine Learning and ELM (14 papers). Shao-Bo Lin collaborates with scholars based in China, Hong Kong and United States. Shao-Bo Lin's co-authors include Ding‐Xuan Zhou, Zongben Xu, Jian Fang, Jinshan Zeng, Zheng-Chu Guo, Zongben Xu, Xia Liu, Xiangyu Chang, Yao Wang and Feilong Cao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
In The Last Decade
Co-authorship network of co-authors of Shao-Bo Lin i
Fields of papers citing papers by Shao-Bo Lin
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 Shao-Bo Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shao-Bo Lin may publish in the future.
Countries citing papers authored by Shao-Bo Lin
Since SpecializationCitations
This map shows the geographic impact of Shao-Bo Lin'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 Shao-Bo Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Bo Lin more than expected).
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