Peter Z. Yeh
- Artificial Intelligence top 5%
- Information Systems top 10%
- Molecular Biology
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Topics
- Semantic Web and Ontologies (20 papers)Topic Modeling (13 papers)Natural Language Processing Techniques (11 papers)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Peter Z. Yeh
35 papers receiving 305 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 290
- Information Systems 104
- Molecular Biology 57
- Management Science and Operations Research 55
- Computer Networks and Communications 47
Countries citing papers authored by Peter Z. Yeh
This map shows the geographic impact of Peter Z. Yeh'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 Peter Z. Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Z. Yeh more than expected).
Fields of papers citing papers by Peter Z. Yeh
This network shows the impact of papers produced by Peter Z. Yeh. 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 Peter Z. Yeh. The network helps show where Peter Z. Yeh may publish in the future.
Co-authorship network of co-authors of Peter Z. Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Z. Yeh. A scholar is included among the top collaborators of Peter Z. Yeh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Z. Yeh. Peter Z. Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | The Dragon Drive Innovation Showcase: Advancing the State-of-the-Art in Automotive Assistants | 1 |
| 3 | Nuance Reasoning Framework. | 1 |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings | 2 |
| 8 | Data Enrichment Using Data Sources on the Web | 3 |
| 9 | Multiple Ontologies in Healthcare Information Technology: Motivations and Recommendation for Ontology Mapping and Alignment. | 16 |
| 10 | 3 | |
| 11 | Linked Data is Merely More Data | 76 |
| 12 | 16 | |
| 13 | LOQUS: Linked Open Data SPARQL Querying System | 3 |
| 14 | A Tool for Measuring the Reality of Technology Trends of Interest | 0 |
| 15 | 2 | |
| 16 | 2 | |
| 17 | Learning by reading: a prototype system, performance baseline and lessons learned | 32 |
| 18 | A unified knowledge based approach for sense disambiguationm and semantic role labeling | 9 |
| 19 | A question-answering system for AP chemistry: assessing KR&R technologies | 24 |
| 20 | A Knowledge Acquisition Tool for Course of Action Analysis | 26 |
About Peter Z. Yeh
Peter Z. Yeh is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 39 papers that have together received 349 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (290 citations), Information Systems (104 citations) and Management Science and Operations Research (55 citations). Peter Z. Yeh has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Kunal Verma, Bruce Porter, Prateek Jain, Ken Barker, Pascal Hitzler, Amit Sheth, Colin Puri, Alex Kass, James Fan and Peter E. Clark. Their work appears in journals such as Organic & Biomolecular Chemistry, Lecture notes in computer science and AI Magazine.
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.