Fan Dong

23 papers and 601 indexed citations i.

About

Fan Dong is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Fan Dong has authored 23 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 3 papers in Cognitive Neuroscience. Recurrent topics in Fan Dong’s work include Computational Drug Discovery Methods (6 papers), Adaptation to Concept Drift in Data Streams (6 papers) and Machine Learning and Data Classification (5 papers). Fan Dong is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Adaptation to Concept Drift in Data Streams (6 papers) and Machine Learning and Data Classification (5 papers). Fan Dong collaborates with scholars based in United States, China and Australia. Fan Dong's co-authors include Guangquan Zhang, Jie Lü, João Gama, Fengshou Gu, Anjin Liu, Huixiao Hong, Jie Liu, Wenjing Guo, Babak Afshin‐Pour and Stephen C. Strother and has published in prestigious journals such as PLoS ONE, NeuroImage and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Fan Dong i

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

Countries citing papers authored by Fan Dong

Since Specialization
Citations

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

Rankless by CCL
2025