Chengkai Dai

10 papers and 310 indexed citations i.

About

Chengkai Dai is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Human-Computer Interaction. According to data from OpenAlex, Chengkai Dai has authored 10 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 3 papers in Human-Computer Interaction. Recurrent topics in Chengkai Dai’s work include Additive Manufacturing and 3D Printing Technologies (4 papers), Robotic Path Planning Algorithms (3 papers) and Robotics and Sensor-Based Localization (2 papers). Chengkai Dai is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (4 papers), Robotic Path Planning Algorithms (3 papers) and Robotics and Sensor-Based Localization (2 papers). Chengkai Dai collaborates with scholars based in China, The Netherlands and Hong Kong. Chengkai Dai's co-authors include Charlie C. L. Wang, Yong‐Jin Liu, Chenming Wu, Guoxin Fang, Sylvain Lefèbvre, Kai Yu, Jo M. P. Geraedts, Xianfeng Gu, Qingqing Shi and Xiaoxi Gong and has published in prestigious journals such as ACM Transactions on Graphics, Bioactive Materials and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Chengkai Dai i

Fields of papers citing papers by Chengkai Dai

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

Countries citing papers authored by Chengkai Dai

Since Specialization
Citations

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

Rankless by CCL
2025