Ting On Chan

53 papers and 689 indexed citations i.

About

Ting On Chan is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting On Chan has authored 53 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Environmental Engineering, 21 papers in Geology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting On Chan’s work include 3D Surveying and Cultural Heritage (21 papers), Remote Sensing and LiDAR Applications (17 papers) and Optical measurement and interference techniques (10 papers). Ting On Chan is often cited by papers focused on 3D Surveying and Cultural Heritage (21 papers), Remote Sensing and LiDAR Applications (17 papers) and Optical measurement and interference techniques (10 papers). Ting On Chan collaborates with scholars based in China, Canada and United Kingdom. Ting On Chan's co-authors include Derek D. Lichti, Ming Luo, David Belton, Yeran Sun, Craig Glennie, Sijia Wu, Paul G. Myers, Xianmin Hu, Guicai Ning and Yongquan Zhao and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ting On Chan i

Fields of papers citing papers by Ting On Chan

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

Countries citing papers authored by Ting On Chan

Since Specialization
Citations

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

Rankless by CCL
2025