Gang Lu

19 papers and 420 indexed citations i.

About

Gang Lu is a scholar working on Information Systems, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Gang Lu has authored 19 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Materials Chemistry. Recurrent topics in Gang Lu’s work include Machine Learning in Materials Science (2 papers), Advanced Text Analysis Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Gang Lu is often cited by papers focused on Machine Learning in Materials Science (2 papers), Advanced Text Analysis Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Gang Lu collaborates with scholars based in China, United Kingdom and Hong Kong. Gang Lu's co-authors include Qingyuan Yang, Le Yuan, Min Wei, Xiangdong Li and Xiaonan Zhang and has published in prestigious journals such as Coordination Chemistry Reviews, Journal of Membrane Science and The Journal of Physical Chemistry A.

In The Last Decade

Fields of papers citing papers by Gang Lu

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

Countries citing papers authored by Gang Lu

Since Specialization
Citations

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

Rankless by CCL
2025