Linglong Kong

69 papers and 679 indexed citations i.

About

Linglong Kong is a scholar working on Statistics and Probability, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Linglong Kong has authored 69 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 13 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Computational Mechanics. Recurrent topics in Linglong Kong’s work include Statistical Methods and Inference (27 papers), Advanced Statistical Methods and Models (11 papers) and Sparse and Compressive Sensing Techniques (11 papers). Linglong Kong is often cited by papers focused on Statistical Methods and Inference (27 papers), Advanced Statistical Methods and Models (11 papers) and Sparse and Compressive Sensing Techniques (11 papers). Linglong Kong collaborates with scholars based in Canada, United States and China. Linglong Kong's co-authors include Ivan Mizera, Hongtu Zhu, Jianqing Fan, Bei Jiang, Di Niu, Weili Lin, Yijun Zuo, Runze Li, John H. Gilmore and Martin Styner and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Linglong Kong i

Fields of papers citing papers by Linglong Kong

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

Countries citing papers authored by Linglong Kong

Since Specialization
Citations

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

Rankless by CCL
2025