Hong‐Linh Truong
Hong‐Linh Truong publishes mostly in Computer Networks and Communications, Information Systems and Artificial Intelligence, on topics such as Cloud Computing and Resource Management, Service-Oriented Architecture and Web Services and IoT and Edge/Fog Computing.
- World rank
- #288,144 of 7,710,434 ranked researchers
- Rank in Austria
- #2,057 of 43,330
- Works
- 313
- Citations
- 6.6k
- Citations per work
- 21.2
What does Hong‐Linh Truong research?
Hong‐Linh Truong's work is mostly in Computer Science (59%), Business, Management and Accounting (6%), Decision Sciences (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences19762.9%
- Computer Science18559.0%
- Engineering123.9%
- Everything else8527.0%
- Social Sciences3210.1%
- 1Computer Networks and Communications30% of their works
- 2Information Systems21% of their works
- 3Artificial Intelligence8% of their works
- 4Management Information Systems6% of their works
- 5Information Systems and Management4% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Distributed and Parallel Computing Systems
- Business Process Modeling and Analysis
- Scientific Computing and Data Management
- Context-Aware Activity Recognition Systems
Which keywords describe Hong‐Linh Truong's research?
The keywords of their largest research topics: Distributed Systems, Resource Management, Semantic Web Services, Deep Learning, Big Data, Cloud Computing, Workflow Management and QoS-Aware Middleware.
- Activity Recognition
- Reproducibility
- Business Process Management
- Grid Computing
- Log Analysis
- Edge Computing
- QoS-Aware Middleware
- Cloud Computing
- Deep Learning
- Resource Management
- Distributed Systems
- Semantic Web Services
- Big Data
- Workflow Management
- Service-Oriented Computing
- Internet of Things
- Performance Prediction
- Task Scheduling
- Workflow Mining
- Scientific Workflows
- Pervasive Computing
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Distributed Systems1733 topics
- Resource Management1202 topics
- Semantic Web Services1052 topics
- Deep Learning1002 topics
- Big Data781 topic
- Cloud Computing781 topic
- Workflow Management742 topics
- QoS-Aware Middleware731 topic
- Service-Oriented Computing731 topic
- Edge Computing701 topic
- Internet of Things701 topic
- Log Analysis531 topic
- Performance Prediction531 topic
- Grid Computing421 topic
- Task Scheduling421 topic
- Business Process Management351 topic
- Workflow Mining351 topic
- Reproducibility321 topic
- Scientific Workflows321 topic
- Activity Recognition301 topic
- Pervasive Computing301 topic
Where does Hong‐Linh Truong work?
Hong‐Linh Truong's main affiliation in the publication record is TU Wien, Austria.
How many publications and citations does Hong‐Linh Truong have?
OpenAlex counts 313 works and 6,623 citations for Hong‐Linh Truong, an h-index of 37, ranking #288,144 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Hong‐Linh Truong. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.