Yeşim DOKUZ
Yeşim DOKUZ publishes mostly in Artificial Intelligence, Signal Processing and Building and Construction, on topics such as Air Quality Monitoring and Forecasting, Speech Recognition and Synthesis and Speech and Audio Processing.
- World rank
- #2,628,856 of 7,710,434 ranked researchers
- Rank in Türkiye
- #14,702 of 117,622
- Works
- 20
- Citations
- 319
- Citations per work
- 16.0
What does Yeşim DOKUZ research?
Yeşim DOKUZ's work is mostly in Computer Science (32%), Engineering (18%), Environmental Science (9%).
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 Sciences1258.9%
- Computer Science632.2%
- Engineering417.8%
- Environmental Science28.9%
- Everything else735.7%
- Social Sciences15.4%
- Social Sciences15.4%
- 1Artificial Intelligence18% of their works
- 2Signal Processing14% of their works
- 3Building and Construction11% of their works
- 4Environmental Engineering9% of their works
- 5Electrical and Electronic Engineering7% of their works
- 6Transportation5% of their works
Research topics
Which keywords describe Yeşim DOKUZ's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Particulate Matter, Machine Learning, Probabilistic Forecasting, Short-Term Forecasting and Air Quality Monitoring.
- Opinion Mining
- Health Effects
- Air Pollution
- Speech Enhancement
- Music Information Retrieval
- Audio-Visual Speech Recognition
- Acoustic Modeling
- Air Quality Monitoring
- Probabilistic Forecasting
- Particulate Matter
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Short-Term Forecasting
- Low-Cost Sensors
- Audio Signal Classification
- Deep Neural Networks
- Spatio-Temporal Data
- Traffic Flow
- Electricity Price Forecasting
- Load Forecasting
- Sentiment Analysis
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 23 words, with their numbers
- Deep Learning175 topics
- Neural Networks164 topics
- Convolutional Neural Networks82 topics
- Particulate Matter82 topics
- Machine Learning72 topics
- Probabilistic Forecasting72 topics
- Short-Term Forecasting72 topics
- Air Quality Monitoring51 topic
- Low-Cost Sensors51 topic
- Acoustic Modeling41 topic
- Audio Signal Classification41 topic
- Audio-Visual Speech Recognition41 topic
- Deep Neural Networks41 topic
- Music Information Retrieval41 topic
- Spatio-Temporal Data41 topic
- Speech Enhancement41 topic
- Traffic Flow41 topic
- Air Pollution31 topic
- Electricity Price Forecasting31 topic
- Health Effects31 topic
- Load Forecasting31 topic
- Opinion Mining21 topic
- Sentiment Analysis21 topic
Where does Yeşim DOKUZ work?
Yeşim DOKUZ's main affiliation in the publication record is Niğde Ömer Halisdemir Üniversitesi, Türkiye.
How many publications and citations does Yeşim DOKUZ have?
OpenAlex counts 20 works and 319 citations for Yeşim DOKUZ, an h-index of 7, ranking #2,628,856 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.
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