Shaohua Wang

27 papers and 353 indexed citations i.

About

Shaohua Wang is a scholar working on Geology, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaohua Wang has authored 27 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geology, 10 papers in Environmental Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaohua Wang’s work include 3D Surveying and Cultural Heritage (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Archaeological Remote Sensing using Remote Sensing Techniques (4 papers). Shaohua Wang is often cited by papers focused on 3D Surveying and Cultural Heritage (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Archaeological Remote Sensing using Remote Sensing Techniques (4 papers). Shaohua Wang collaborates with scholars based in China and United States. Shaohua Wang's co-authors include Qingwu Hu, Mingyao Ai, Zhichao Zhou, Fan Jiang, Chengxiang Fang, Pengcheng Zhao, Fang Peng, Haidong Li, Jun Dai and Wenxin Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and International Journal of Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Shaohua Wang

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

Countries citing papers authored by Shaohua Wang

Since Specialization
Citations

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

Rankless by CCL
2025