Keisuke Maeda

111 papers and 561 indexed citations i.

About

Keisuke Maeda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Keisuke Maeda has authored 111 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 18 papers in Civil and Structural Engineering. Recurrent topics in Keisuke Maeda’s work include Infrastructure Maintenance and Monitoring (17 papers), Video Analysis and Summarization (12 papers) and Multimodal Machine Learning Applications (10 papers). Keisuke Maeda is often cited by papers focused on Infrastructure Maintenance and Monitoring (17 papers), Video Analysis and Summarization (12 papers) and Multimodal Machine Learning Applications (10 papers). Keisuke Maeda collaborates with scholars based in Japan, United States and Australia. Keisuke Maeda's co-authors include Takahiro Ogawa, Miki Haseyama, Gail ter Haar, S.B. Barnett, Wesley L. Nyborg, J. Bang, Marvin C. Ziskin, Masao Ide, Ren Togo and Kyosuke Takeshita and has published in prestigious journals such as Journal of Biomechanics, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Keisuke Maeda i

Fields of papers citing papers by Keisuke Maeda

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

Countries citing papers authored by Keisuke Maeda

Since Specialization
Citations

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

Rankless by CCL
2025