Jonathan Yu

18 papers receiving 216 citations

Peers

Jonathan Yu
Comparison fields: 5 of 52
  • Geology 22
  • Artificial Intelligence 125
  • Information Systems and Management 26
  • Communication 26
  • Information Systems 82
Replace Alfonso Quarati with:
Alfonso Quarati Italy
Adam Leadbetter Ireland
Adam Shepherd United States
Mark Hedges United Kingdom
Gloria T. Lau United States
Mónica De Martino Italy
Christine Robson United States
Yi Shen United States
Lorenzo Bigagli Italy
Devi Fitrianah Indonesia
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Citations per field
00.5×2.6×
Alfonso Quarati · 1×
Citations per year

Countries citing papers authored by Jonathan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan Yu. The network helps show where Jonathan Yu may publish in the future.

Co-authors

The 24 scholars most cited alongside Jonathan Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Yu Line = papers co-authored together Jonathan Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200769
2 200959
3 201945
4 201413
5 20119
6 20137
7 20157
8 20145
9
OzNome 5-star Tool: A Rating System for making data FAIR and Trustable
20173
10
Water Quality Vocabulary Development and Deployment
20132
11
Event dashboard: capturing user-defined semantics events for event detection over real-time sensor data
20132
12 20142
13 20241
14 20251
15 20111
16
group memory based on the task information
20041
17 20151
18
PROTOCOLS TO INTEGRATE URBAN WATER DATA WITH ENERGY AND OTHER URBAN SECTORS WITHIN AURIN
20141
19
Linked Data Approach For Automated Failure Detection In Pressure Sewers Using Real-Time Sensor Data
20140
20 20160

About Jonathan Yu

Jonathan Yu is a scholar working on Artificial Intelligence, Information Systems, Information Systems and Management, Geology and Molecular Biology, having authored 20 papers that have together received 229 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Environmental Monitoring and Data Management (5 papers), Scientific Computing and Data Management (4 papers), Service-Oriented Architecture and Web Services (3 papers), Geographic Information Systems Studies (2 papers), Research Data Management Practices (2 papers), Data Management and Algorithms (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Geology (22 citations), Artificial Intelligence (125 citations), Information Systems and Management (26 citations), Communication (26 citations) and Information Systems (82 citations). Jonathan Yu has collaborated with scholars based in Australia, United States and China. Frequent co-authors include James A. Thom, Simón Cox, Nicholas Car, Andy Steven, Mark E. Baird, Thomas Schroeder, Jennifer Skerratt, Emlyn Jones, Nugzar Margvelashvili and Cédric Robillot. Their work appears in journals such as Journal of the American Medical Informatics Association, Computers & Graphics, Journal of Operational Oceanography, Journal of Hydroinformatics and Semantic Web.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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