Hao Tang

156 papers and 2.6k indexed citations i.

About

Hao Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hao Tang has authored 156 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Hao Tang’s work include Generative Adversarial Networks and Image Synthesis (35 papers), Advanced Neural Network Applications (21 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Hao Tang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (35 papers), Advanced Neural Network Applications (21 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Hao Tang collaborates with scholars based in China, Switzerland and Italy. Hao Tang's co-authors include Nicu Sebe, Hong Liu, Lei Ding, Lorenzo Bruzzone, Dan Xu, Thomas S. Huang, Yan Yan, Luc Van Gool, Philip H. S. Torr and Wenhao Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Hao Tang i

Fields of papers citing papers by Hao Tang

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

Countries citing papers authored by Hao Tang

Since Specialization
Citations

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

Rankless by CCL
2025