Liang Dong

About

Liang Dong is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Atmospheric Science. According to data from OpenAlex, Liang Dong has authored 18 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 4 papers in Atmospheric Science. Recurrent topics in Liang Dong’s work include Emotion and Mood Recognition (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Remote Sensing and Land Use (4 papers). Liang Dong is often cited by papers focused on Emotion and Mood Recognition (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Remote Sensing and Land Use (4 papers). Liang Dong collaborates with scholars based in China. Liang Dong's co-authors include Chao Hao, Yongli Liu, Guijun Yang, Wenjiang Huang and Dailiang Peng and has published in prestigious journals such as Expert Systems with Applications, Sensors and Neurocomputing.

In The Last Decade

Fields of papers citing papers by Liang Dong

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

Countries citing papers authored by Liang Dong

Since Specialization

Citations

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

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