Xiaocheng Feng

40 papers and 1.5k indexed citations i.

About

Xiaocheng Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xiaocheng Feng has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Xiaocheng Feng’s work include Topic Modeling (31 papers), Natural Language Processing Techniques (29 papers) and Multimodal Machine Learning Applications (10 papers). Xiaocheng Feng is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (29 papers) and Multimodal Machine Learning Applications (10 papers). Xiaocheng Feng collaborates with scholars based in China, United States and Finland. Xiaocheng Feng's co-authors include Bing Qin, Ting Liu, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Daxin Jiang, Ming Gong, Daya Guo and Linjun Shou and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Transactions on Affective Computing.

In The Last Decade

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

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

Countries citing papers authored by Xiaocheng Feng

Since Specialization
Citations

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

Rankless by CCL
2025