Hui Chang

26 papers and 473 indexed citations i.

About

Hui Chang is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Geometry and Topology. According to data from OpenAlex, Hui Chang has authored 26 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistical and Nonlinear Physics, 7 papers in Electrical and Electronic Engineering and 5 papers in Geometry and Topology. Recurrent topics in Hui Chang’s work include Complex Network Analysis Techniques (8 papers), Nonlinear Waves and Solitons (8 papers) and Advanced Memory and Neural Computing (7 papers). Hui Chang is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Nonlinear Waves and Solitons (8 papers) and Advanced Memory and Neural Computing (7 papers). Hui Chang collaborates with scholars based in China, Hong Kong and United States. Hui Chang's co-authors include Yuxia Li, Guanrong Chen, Da-Ren He, Yuan Fang, Yueping Zhou, Zhen Wang, Tao Zhou, Bing-Hong Wang, Licheng Sun and Kan Chen and has published in prestigious journals such as Physics Letters A, EPL (Europhysics Letters) and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Hui Chang i

Fields of papers citing papers by Hui Chang

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

Countries citing papers authored by Hui Chang

Since Specialization
Citations

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

Rankless by CCL
2025