Mei Long

About

Mei Long is a scholar working on Information Systems, Management Information Systems and Human-Computer Interaction. According to data from OpenAlex, Mei Long has authored 3 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Management Information Systems and 1 paper in Human-Computer Interaction. Recurrent topics in Mei Long’s work include Business Process Modeling and Analysis (2 papers), Software Testing and Debugging Techniques (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). Mei Long is often cited by papers focused on Business Process Modeling and Analysis (2 papers), Software Testing and Debugging Techniques (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). Mei Long collaborates with scholars based in United States and China. Mei Long's co-authors include Clive Loader, Loren Terveen, Jiafu Su, Lawrence G. Votta and Peter G. Selfridge and has published in prestigious journals such as IEEE Access and Human-Computer Interaction.

In The Last Decade

Fields of papers citing papers by Mei 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 Mei Long. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mei Long may publish in the future.

Countries citing papers authored by Mei Long

Since Specialization

Citations

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

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