Tie Liu

17 papers and 1.4k indexed citations i.

About

Tie Liu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Tie Liu has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Experimental and Cognitive Psychology and 4 papers in Artificial Intelligence. Recurrent topics in Tie Liu’s work include Emotion and Mood Recognition (5 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced Neural Network Applications (3 papers). Tie Liu is often cited by papers focused on Emotion and Mood Recognition (5 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced Neural Network Applications (3 papers). Tie Liu collaborates with scholars based in China, United States and Hong Kong. Tie Liu's co-authors include Zejian Yuan, Jian Sun, Jingdong Wang, Xiaoou Tang, Heung‐Yeung Shum, Nanning Zheng, Ruijin Liu, Zhuhong Shao, Hui Ding and Yuanyuan Shang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Tie Liu i

Fields of papers citing papers by Tie Liu

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

Countries citing papers authored by Tie Liu

Since Specialization
Citations

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

Rankless by CCL
2025