Shao-Kai Jian

60 papers and 1.7k indexed citations i.

About

Shao-Kai Jian is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Shao-Kai Jian has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Atomic and Molecular Physics, and Optics, 21 papers in Condensed Matter Physics and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Shao-Kai Jian’s work include Quantum many-body systems (28 papers), Topological Materials and Phenomena (23 papers) and Quantum and electron transport phenomena (14 papers). Shao-Kai Jian is often cited by papers focused on Quantum many-body systems (28 papers), Topological Materials and Phenomena (23 papers) and Quantum and electron transport phenomena (14 papers). Shao-Kai Jian collaborates with scholars based in United States, China and Germany. Shao-Kai Jian's co-authors include Hong Yao, Brian Swingle, Zhuo-Yu Xian, Yi‐Fan Jiang, Haijun Zhang, Dingyu Xing, Jiawei Ruan, Shou-Cheng Zhang, Chunxiao Liu and Luyang Wang and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review B.

In The Last Decade

Co-authorship network of co-authors of Shao-Kai Jian i

Fields of papers citing papers by Shao-Kai Jian

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

Countries citing papers authored by Shao-Kai Jian

Since Specialization
Citations

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

Rankless by CCL
2025