Daniel L. Lau

90 papers and 1.8k indexed citations i.

About

Daniel L. Lau is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Daniel L. Lau has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 20 papers in Atomic and Molecular Physics, and Optics and 14 papers in Computational Mechanics. Recurrent topics in Daniel L. Lau’s work include Optical measurement and interference techniques (31 papers), Color Science and Applications (19 papers) and Advanced Vision and Imaging (15 papers). Daniel L. Lau is often cited by papers focused on Optical measurement and interference techniques (31 papers), Color Science and Applications (19 papers) and Advanced Vision and Imaging (15 papers). Daniel L. Lau collaborates with scholars based in United States, China and Colombia. Daniel L. Lau's co-authors include Gonzalo R. Arce, Laurence G. Hassebrook, Kai Liu, Yongchang Wang and Qi Hao and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Fields of papers citing papers by Daniel L. Lau

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

Countries citing papers authored by Daniel L. Lau

Since Specialization
Citations

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

Rankless by CCL
2025