Tian Fang

About

Tian Fang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Tian Fang has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 8 papers in Biomedical Engineering. Recurrent topics in Tian Fang’s work include Advanced Vision and Imaging (17 papers), Robotics and Sensor-Based Localization (7 papers) and Sparse and Compressive Sensing Techniques (7 papers). Tian Fang is often cited by papers focused on Advanced Vision and Imaging (17 papers), Robotics and Sensor-Based Localization (7 papers) and Sparse and Compressive Sensing Techniques (7 papers). Tian Fang collaborates with scholars based in China, Hong Kong and United States. Tian Fang's co-authors include Long Quan, Zixin Luo, Tianwei Shen and Shiwei Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and ACM Transactions on Graphics.

In The Last Decade

Fields of papers citing papers by Tian Fang

Since Specialization

EngineeringComputer 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 Tian Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tian Fang may publish in the future.

Countries citing papers authored by Tian Fang

Since Specialization

Citations

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

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