Jing Long

About

Jing Long is a scholar working on Organizational Behavior and Human Resource Management, Strategy and Management and Artificial Intelligence. According to data from OpenAlex, Jing Long has authored 22 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organizational Behavior and Human Resource Management, 6 papers in Strategy and Management and 3 papers in Artificial Intelligence. Recurrent topics in Jing Long’s work include Job Satisfaction and Organizational Behavior (6 papers), Technology Adoption and User Behaviour (2 papers) and Innovation and Knowledge Management (2 papers). Jing Long is often cited by papers focused on Job Satisfaction and Organizational Behavior (6 papers), Technology Adoption and User Behaviour (2 papers) and Innovation and Knowledge Management (2 papers). Jing Long collaborates with scholars based in China, Taiwan and United States. Jing Long's co-authors include Bin Li, Yan Liu, Sheng-hua Zhong, Wei Liang, Kuan‐Ching Li, Albert Y. Zomaya, Tien‐Hsiung Weng, Xuhui Chen, Jian Mou and Wei Huang and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Psychology and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Jing Long i

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Fields of papers citing papers by Jing Long

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

Countries citing papers authored by Jing Long

Since Specialization

Citations

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

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