Ge Cheng

10 papers and 363 indexed citations i.

About

Ge Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ge Cheng has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ge Cheng’s work include Chaos-based Image/Signal Encryption (2 papers), Time Series Analysis and Forecasting (2 papers) and Cellular Automata and Applications (2 papers). Ge Cheng is often cited by papers focused on Chaos-based Image/Signal Encryption (2 papers), Time Series Analysis and Forecasting (2 papers) and Cellular Automata and Applications (2 papers). Ge Cheng collaborates with scholars based in China and United States. Ge Cheng's co-authors include Chengqing Li, Wei Liu, Wenqing Cheng, Qi Liu, Ya-Ping Li, Tao Xie, Yunqing Huang, Zhenyu Zhang, Yuansheng Liu and Suiran Yu and has published in prestigious journals such as Technological Forecasting and Social Change, Electronics Letters and Nonlinear Dynamics.

In The Last Decade

Co-authorship network of co-authors of Ge Cheng i

Fields of papers citing papers by Ge Cheng

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

Countries citing papers authored by Ge Cheng

Since Specialization
Citations

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

Rankless by CCL
2025