Site Li

34 papers and 1.5k indexed citations i.

About

Site Li is a scholar working on Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Site Li has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Site Li’s work include Nanocluster Synthesis and Applications (12 papers), Advanced Nanomaterials in Catalysis (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Site Li is often cited by papers focused on Nanocluster Synthesis and Applications (12 papers), Advanced Nanomaterials in Catalysis (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Site Li collaborates with scholars based in United States, China and Hong Kong. Site Li's co-authors include Rongchao Jin, Yingwei Li, Tatsuya Higaki, Shuo Zhao, Giannis Mpourmpakis, Anantha Venkataraman Nagarajan, Qi Li, Xiang‐Sha Du, Zhong Lin Wang and Douglas R. Kauffman and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Site Li i

Fields of papers citing papers by Site Li

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

Countries citing papers authored by Site Li

Since Specialization
Citations

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

Rankless by CCL
2025