Xiaokun Wu

16 papers and 279 indexed citations i.

About

Xiaokun Wu is a scholar working on Electrical and Electronic Engineering, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Xiaokun Wu has authored 16 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Environmental Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Xiaokun Wu’s work include Energy Load and Power Forecasting (4 papers), Wind and Air Flow Studies (2 papers) and Electric Power System Optimization (2 papers). Xiaokun Wu is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Wind and Air Flow Studies (2 papers) and Electric Power System Optimization (2 papers). Xiaokun Wu collaborates with scholars based in China, United States and Germany. Xiaokun Wu's co-authors include Junliang Chen, Daniel Cohen‐Or, Andrei Sharf, Yangyan Li, Niloy J. Mitra, Bo Cheng, Jiyan Wu, Michael Wand, Yagang Zhang and Pushmeet Kohli and has published in prestigious journals such as ACM Transactions on Graphics, Environmental Science and Pollution Research and IEEE Transactions on Industry Applications.

In The Last Decade

Co-authorship network of co-authors of Xiaokun Wu i

Fields of papers citing papers by Xiaokun 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 Xiaokun Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaokun Wu may publish in the future.

Countries citing papers authored by Xiaokun Wu

Since Specialization
Citations

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

Rankless by CCL
2025