Liang Ding

130 papers and 1.3k indexed citations i.

About

Liang Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Liang Ding has authored 130 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Liang Ding’s work include Topic Modeling (41 papers), Natural Language Processing Techniques (30 papers) and Multimodal Machine Learning Applications (16 papers). Liang Ding is often cited by papers focused on Topic Modeling (41 papers), Natural Language Processing Techniques (30 papers) and Multimodal Machine Learning Applications (16 papers). Liang Ding collaborates with scholars based in China, Australia and Singapore. Liang Ding's co-authors include Dacheng Tao, Qihuang Zhong, Lin Zhang, Ling‐Yu Duan, Bo Du, Tongxiang Fan, Jian Ding, Han Zhou, Di Zhang and Qixin Guo and has published in prestigious journals such as Biomaterials, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Catalysis B Environment and Energy.

In The Last Decade

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

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

Countries citing papers authored by Liang Ding

Since Specialization
Citations

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

Rankless by CCL
2025