Optimised analysis and visualisation of metabolic data using graph theoretical approaches. - John M. Easton (2009)

Railway Modelling - The Case for Ontologies in the Rail Industry. - John M. Easton; J. R. Davies; Clive Roberts (KEOD, 2010)

Linked Metabolites: A tool for the construction of directed metabolic graphs. - John M. Easton; Lisa M. Harris; Mark R. Viant; Andrew Peet; Theodoros N. Arvanitis (Comput. Biol. Medicine, 2010)

Integrating Railway Maintenance Data - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources. - J. Tutcher; Clive Roberts; John M. Easton (KEOD, 2011)

Ontology Engineering The "What's", "Why's", and "How's" of Data Exchange. - John M. Easton; J. R. Davies; Clive Roberts (Int. J. Decis. Support Syst. Technol., 2011)

The development of a graphical user interface, functional elements and classifiers for the non-invasive characterization of childhood brain tumours using magnetic resonance spectroscopy. - Alexander Gibb; John M. Easton; Nigel Davies 002; Yu Sun; Lesley Macpherson; Kal Natarajan; Theodoros N. Arvanitis; Andrew Peet (Knowl. Eng. Rev., 2011)

Applications of linked data in the rail domain. - Christopher Morris 002; John M. Easton; Clive Roberts (IEEE BigData, 2014)

Mining Open and Crowdsourced Data to Improve Situational Awareness for Railway. - Syed Sadiqur Rahman; John M. Easton; Clive Roberts (ASONAM, 2015)

Position Paper: Ontology in the Rail Domain. - Christopher Morris 002; John M. Easton; Clive Roberts (KEOD, 2015)

Understanding data quality: Ensuring data quality by design in the rail industry. - Qian Fu; John M. Easton (IEEE BigData, 2017)

Towards Encrypting Industrial Data on Public Distributed Networks. - Joseph D. Preece; John M. Easton (IEEE BigData, 2018)

Blockchain Technology as a Mechanism for Digital Railway Ticketing. - Joseph D. Preece; John M. Easton (IEEE BigData, 2019)

Blockchain Application in Remote Condition Monitoring. - Rahma A. Alzahrani; Simon J. Herko; John M. Easton (IEEE BigData, 2020)

A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway Station. - Joseph D. Preece; Mohamed Samra; Richard James Thomas; John M. Easton (IEEE BigData, 2021)

Digitalization and the Transport Industry - Are we Ready? - John M. Easton (IEEE Big Data, 2022)

Towards STUB 2.0: Using Graph-Based World States in Hyperledger Besu to Facilitate Distributed Transport Ticketing. - Joseph D. Preece; Christopher Morris 002; John M. Easton (IEEE Big Data, 2022)

Leveraging ontochains for distributed public transit ticketing: An investigation with the system for ticketing ubiquity with blockchains. - Joseph D. Preece; Christopher R. Morris; John M. Easton (IET Blockchain, 2024)

Understanding data quality in a data-driven industry context: Insights from the fundamentals. - Qian Fu; Gemma L. Nicholson; John M. Easton (J. Ind. Inf. Integr., 2024)