Peng Lin

51 papers and 387 indexed citations i.

About

Peng Lin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Peng Lin has authored 51 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Peng Lin’s work include Advanced Sensor and Energy Harvesting Materials (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Peng Lin is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Peng Lin collaborates with scholars based in China, United Kingdom and The Netherlands. Peng Lin's co-authors include Xiaoping Yang, Gang Sui, Zaihui Fu, Haihong Zhao, Donghong Yin, Huayu Qiu, Rong Tan, Martin Neil, Dulin Yin and Norman Fenton and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Journal of Colloid and Interface Science.

In The Last Decade

Co-authorship network of co-authors of Peng Lin i

Fields of papers citing papers by Peng Lin

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

Countries citing papers authored by Peng Lin

Since Specialization
Citations

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

Rankless by CCL
2025