Shaohua Wan

269 papers and 8.8k indexed citations i.

About

Shaohua Wan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shaohua Wan has authored 269 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Networks and Communications, 88 papers in Computer Vision and Pattern Recognition and 71 papers in Artificial Intelligence. Recurrent topics in Shaohua Wan’s work include IoT and Edge/Fog Computing (53 papers), Advanced Neural Network Applications (27 papers) and Privacy-Preserving Technologies in Data (27 papers). Shaohua Wan is often cited by papers focused on IoT and Edge/Fog Computing (53 papers), Advanced Neural Network Applications (27 papers) and Privacy-Preserving Technologies in Data (27 papers). Shaohua Wan collaborates with scholars based in China, United States and Greece. Shaohua Wan's co-authors include Sotirios K. Goudos, Xiaolong Xu, Lianyong Qi, Chen Chen, Zonghua Gu, Songtao Ding, Yin Zhang⋆, Qingqi Pei, Yan Liang and Zan Gao and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and IEEE Communications Magazine.

In The Last Decade

Co-authorship network of co-authors of Shaohua Wan i

Fields of papers citing papers by Shaohua Wan

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

Countries citing papers authored by Shaohua Wan

Since Specialization
Citations

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

Rankless by CCL
2025