Jing Liao

131 papers and 3.1k indexed citations i.

About

Jing Liao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Jing Liao has authored 131 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 28 papers in Computer Graphics and Computer-Aided Design and 17 papers in Artificial Intelligence. Recurrent topics in Jing Liao’s work include Generative Adversarial Networks and Image Synthesis (36 papers), Advanced Vision and Imaging (33 papers) and Computer Graphics and Visualization Techniques (28 papers). Jing Liao is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (36 papers), Advanced Vision and Imaging (33 papers) and Computer Graphics and Visualization Techniques (28 papers). Jing Liao collaborates with scholars based in China, Hong Kong and United States. Jing Liao's co-authors include Dongdong Chen, Lu Yuan, Nenghai Yu, Gang Hua and Mingming He and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Brain Research.

In The Last Decade

Fields of papers citing papers by Jing Liao

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

Countries citing papers authored by Jing Liao

Since Specialization
Citations

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

Rankless by CCL
2025