Long Sha

20 papers and 184 indexed citations i.

About

Long Sha is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Long Sha has authored 20 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Plant Science and 3 papers in Artificial Intelligence. Recurrent topics in Long Sha’s work include Video Analysis and Summarization (5 papers), Plant Pathogens and Fungal Diseases (2 papers) and Sports Analytics and Performance (2 papers). Long Sha is often cited by papers focused on Video Analysis and Summarization (5 papers), Plant Pathogens and Fungal Diseases (2 papers) and Sports Analytics and Performance (2 papers). Long Sha collaborates with scholars based in China, United States and Australia. Long Sha's co-authors include Patrick Lucey, Xiaorong Zou, Jennifer Hobbs, Xinyu Wei, Xiaohan Ren, Yiannis A. Levendis, Shuhui Zhang, Fan Cao, Sridha Sridharan and S. Ganguly and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Long Sha i

Fields of papers citing papers by Long Sha

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

Countries citing papers authored by Long Sha

Since Specialization
Citations

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

Rankless by CCL
2025