What is he best known for?
The fields of study he is best known for:
- The Internet
- Database
- World Wide Web
His primary scientific interests are in Provenance, Information retrieval, World Wide Web, Workflow and Set.
In general Information retrieval study, his work on RDF often relates to the realm of Vocabulary, Assessment methods and Data source, thereby connecting several areas of interest.
He focuses mostly in the field of World Wide Web, narrowing it down to matters related to Ontology and, in some cases, Linked data.
Jun Zhao regularly ties together related areas like Web service in his Workflow studies.
His Set studies intersect with other disciplines such as Data science, Abstraction and Component.
His research on Data science frequently links to adjacent areas such as Implementation.
His most cited work include:
- The FAIR Guiding Principles for scientific data management and stewardship (3142 citations)
- PROV-O: The PROV Ontology (238 citations)
- Describing Linked Datasets On the Design and Usage of voiD, the "Vocabulary Of Interlinked Datasets" (189 citations)
What are the main themes of his work throughout his whole career to date?
Jun Zhao mainly focuses on World Wide Web, Semantic Web, Workflow, Data science and Linked data.
His study on Metadata is often connected to Provenance as part of broader study in World Wide Web.
The study incorporates disciplines such as Data integration and Data Web in addition to Semantic Web.
His Workflow research includes themes of Annotation and Software engineering.
His study looks at the relationship between Data science and topics such as Translational medicine, which overlap with Knowledge base.
His Linked data research incorporates themes from SPARQL and RDF.
He most often published in these fields:
- World Wide Web (38.33%)
- Semantic Web (29.17%)
- Workflow (28.33%)
What were the highlights of his more recent work (between 2016-2021)?
- Internet privacy (10.83%)
- Focus group (3.33%)
- Coping (3.33%)
In recent papers he was focusing on the following fields of study:
Internet privacy, Focus group, Coping, Android and Mobile apps are his primary areas of study.
His Internet privacy research incorporates elements of Data collection, BitTorrent tracker and Critical thinking.
His Data collection research overlaps with other disciplines such as Entertainment, Face, Data sharing, User interface and Key.
Android is integrated with Bespoke, Human–computer interaction, Value sensitive design and Smartphone app in his research.
His Mobile apps study necessitates a more in-depth grasp of World Wide Web.
His research in Digital content intersects with topics in Social media, Video sharing and Online advertising.
Between 2016 and 2021, his most popular works were:
- 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (128 citations)
- Better the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps (55 citations)
- Third Party Tracking in the Mobile Ecosystem (40 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Database
- World Wide Web
Jun Zhao mostly deals with Internet privacy, Safeguarding, Focus group, Coping and Smartphone app.
His Internet privacy research spans across into areas like Data collection and Data sharing.
His work in Smartphone app incorporates the disciplines of Bespoke, Human–computer interaction, Key, Mobile apps and User interface.
In his study, Jun Zhao carries out multidisciplinary Bespoke and Android research.
His study on Android is intertwined with other disciplines of science such as Data Protection Act 1998, Empirical research, Legal compliance, Mobile ecosystem and BitTorrent tracker.
Borrowing concepts from Third party, Jun Zhao weaves in ideas under Data Protection Act 1998.
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