Jinran Wu

79 papers and 873 indexed citations i.

About

Jinran Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Jinran Wu has authored 79 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Electrical and Electronic Engineering and 15 papers in Environmental Engineering. Recurrent topics in Jinran Wu’s work include Energy Load and Power Forecasting (22 papers), Machine Learning and ELM (12 papers) and Hydrological Forecasting Using AI (8 papers). Jinran Wu is often cited by papers focused on Energy Load and Power Forecasting (22 papers), Machine Learning and ELM (12 papers) and Hydrological Forecasting Using AI (8 papers). Jinran Wu collaborates with scholars based in Australia, China and Japan. Jinran Wu's co-authors include You‐Gan Wang, Shaotong Zhang, Yuchao Gao and Weide Li and has published in prestigious journals such as PLoS ONE, Water Research and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Jinran Wu

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

Countries citing papers authored by Jinran Wu

Since Specialization
Citations

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

Rankless by CCL
2025