Mingli Ding

47 papers and 559 indexed citations i.

About

Mingli Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mingli Ding has authored 47 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Mingli Ding’s work include Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Multimodal Machine Learning Applications (9 papers). Mingli Ding is often cited by papers focused on Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Multimodal Machine Learning Applications (9 papers). Mingli Ding collaborates with scholars based in China, Saudi Arabia and Belgium. Mingli Ding's co-authors include Yongqiang Zhang, Guanglei Yang, Yancheng Bai, Bernard Ghanem and Xian Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Fields of papers citing papers by Mingli Ding

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

Countries citing papers authored by Mingli Ding

Since Specialization
Citations

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

Rankless by CCL
2025