Liangjun Feng

10 papers and 382 indexed citations i.

About

Liangjun Feng is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liangjun Feng has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liangjun Feng’s work include Domain Adaptation and Few-Shot Learning (5 papers), Fault Detection and Control Systems (5 papers) and Machine Learning and ELM (4 papers). Liangjun Feng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Fault Detection and Control Systems (5 papers) and Machine Learning and ELM (4 papers). Liangjun Feng collaborates with scholars based in China, Canada and Macao. Liangjun Feng's co-authors include Chunhui Zhao, Youxian Sun, Biao Huang, Honglin Qiao, Yuanlong Li, Xi Li, Yuanlong Li and C. L. Philip Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

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

Fields of papers citing papers by Liangjun 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 Liangjun Feng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Liangjun Feng may publish in the future.

Countries citing papers authored by Liangjun Feng

Since Specialization
Citations

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

Rankless by CCL
2025