Cong Bai

93 papers and 1.1k indexed citations i.

About

Cong Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cong Bai has authored 93 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cong Bai’s work include Advanced Image and Video Retrieval Techniques (27 papers), Advanced Neural Network Applications (18 papers) and Image Retrieval and Classification Techniques (11 papers). Cong Bai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (27 papers), Advanced Neural Network Applications (18 papers) and Image Retrieval and Classification Techniques (11 papers). Cong Bai collaborates with scholars based in China, France and United States. Cong Bai's co-authors include Shengyong Chen, Jianwei Zheng, Jinglin Zhang, Jinglin Zhang, Ling Huang, Yuchao Feng, Zhi Liu, Sixian Chan, Kidiyo Kpalma and Zhong‐Ren Peng and has published in prestigious journals such as Nature Communications, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Cong Bai i

Fields of papers citing papers by Cong Bai

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

Countries citing papers authored by Cong Bai

Since Specialization
Citations

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

Rankless by CCL
2025