Liang Zhao

162 papers and 2.4k indexed citations i.

About

Liang Zhao is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liang Zhao has authored 162 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Statistical and Nonlinear Physics, 69 papers in Artificial Intelligence and 41 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liang Zhao’s work include Complex Network Analysis Techniques (47 papers), Neural dynamics and brain function (28 papers) and Neural Networks and Applications (25 papers). Liang Zhao is often cited by papers focused on Complex Network Analysis Techniques (47 papers), Neural dynamics and brain function (28 papers) and Neural Networks and Applications (25 papers). Liang Zhao collaborates with scholars based in Brazil, China and United States. Liang Zhao's co-authors include Ying‐Cheng Lai, Kwangho Park, Thiago Christiano Silva, Nong Ye, Fabrício Breve, Marcos G. Quiles, Xiaoming Liang, C.H. Wu, Na Dong and J. F. Chang and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Liang Zhao i

Fields of papers citing papers by Liang Zhao

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

Countries citing papers authored by Liang Zhao

Since Specialization
Citations

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

Rankless by CCL
2025