Teng Long
About
Teng Long is a scholar working on Mechanical Engineering, Organic Chemistry and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Teng Long has authored 22 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 5 papers in Organic Chemistry and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Teng Long’s work include Welding Techniques and Residual Stresses (6 papers), Industrial Vision Systems and Defect Detection (4 papers) and Catalytic C–H Functionalization Methods (4 papers). Teng Long is often cited by papers focused on Welding Techniques and Residual Stresses (6 papers), Industrial Vision Systems and Defect Detection (4 papers) and Catalytic C–H Functionalization Methods (4 papers). Teng Long collaborates with scholars based in China. Teng Long's co-authors include Junfeng Fan, Lei Yang, Zize Liang, En Li and Quan‐Zhong Liu and has published in prestigious journals such as Organic Letters, AIAA Journal and IEEE Transactions on Neural Networks and Learning Systems.
In The Last Decade
Fields of papers citing papers by Teng Long
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 Teng Long. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Teng Long may publish in the future.
Countries citing papers authored by Teng Long
Since SpecializationCitations
This map shows the geographic impact of Teng Long'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 Teng Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Long more than expected).
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