Ding Liang

34 papers and 3.8k indexed citations i.

About

Ding Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ding Liang has authored 34 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Ding Liang’s work include Advanced Neural Network Applications (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ding Liang is often cited by papers focused on Advanced Neural Network Applications (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ding Liang collaborates with scholars based in China, Hong Kong and Australia. Ding Liang's co-authors include Ping Luo, Enze Xie, Wenhai Wang, Xiang Li, Tong Lü, Ling Shao, Kaitao Song, Deng-Ping Fan, Xuebo Liu and Chunhua Shen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Co-authorship network of co-authors of Ding Liang i

Fields of papers citing papers by Ding Liang

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

Countries citing papers authored by Ding Liang

Since Specialization
Citations

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

Rankless by CCL
2025