Dawei Feng

35 papers and 619 indexed citations i.

About

Dawei Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dawei Feng has authored 35 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Dawei Feng’s work include Multimodal Machine Learning Applications (6 papers), Reinforcement Learning in Robotics (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Dawei Feng is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Reinforcement Learning in Robotics (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Dawei Feng collaborates with scholars based in China, United Kingdom and France. Dawei Feng's co-authors include Kele Xu, Haibo Mi, Xing Wang, Zhen Han, Xiangliang Zhang, Jiqiang Liu, Wei Wang, Haonan Wang, Dongsheng Li and Yiyun Zhang and has published in prestigious journals such as Advanced Materials, Bioinformatics and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of Dawei Feng i

Fields of papers citing papers by Dawei Feng

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

Countries citing papers authored by Dawei Feng

Since Specialization
Citations

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

Rankless by CCL
2025