Naoaki Okazaki
- Artificial Intelligence top 1%
- Molecular Biology
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Cell Biology
- Co-authors
- Sophia AnaniadouMitsuru IshizukaJun’ichi TsujiiKentaro InuiSho TakaseDanushka BollegalaYutaka MatsuoKenji Hirohata
- Topics
- Topic Modeling (110 papers)Natural Language Processing Techniques (106 papers)Advanced Text Analysis Techniques (34 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Naoaki Okazaki
148 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 1.2k
- Molecular Biology 594
- Information Systems 200
- Computer Vision and Pattern Recognition 139
- Cell Biology 93
Countries citing papers authored by Naoaki Okazaki
This map shows the geographic impact of Naoaki Okazaki'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 Naoaki Okazaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoaki Okazaki more than expected).
Fields of papers citing papers by Naoaki Okazaki
This network shows the impact of papers produced by Naoaki Okazaki. 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 Naoaki Okazaki. The network helps show where Naoaki Okazaki may publish in the future.
Co-authorship network of co-authors of Naoaki Okazaki
This figure shows the co-authorship network connecting the top 25 collaborators of Naoaki Okazaki. A scholar is included among the top collaborators of Naoaki Okazaki 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 Naoaki Okazaki. Naoaki Okazaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction | 3 |
| 9 | Incorporating Semantic Attention in Video Description Generation | 1 |
| 10 | 4 | |
| 11 | Generating Video Description using Sequence-to-sequence Model with Temporal Attention | 13 |
| 12 | 6 | |
| 13 | Detecting Chronic Critics Based on Sentiment Polarity and User’s Behavior in Social Media | 1 |
| 14 | Online Large-margin Weight Learning for First-order Logic-based Abduction | 2 |
| 15 | Identifying Sections in Scientific Abstracts using Conditional Random Fields | 100 |
| 16 | A Discriminative Approach to Japanese Abbreviation Extraction | 7 |
| 17 | 16 | |
| 18 | Products designed on scenario maps using Pictorial KeyGraph | 5 |
| 19 | Scripting and Evaluating Affective Interactions with Embodied Conversational Agents | 4 |
| 20 | GDQA: Graph Driven Question Answering System - NTCIR-4 QAC2 Experiments. | 1 |
About Naoaki Okazaki
Naoaki Okazaki is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 166 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (110 papers), Natural Language Processing Techniques (106 papers) and Advanced Text Analysis Techniques (34 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (200 citations) and Molecular Biology (594 citations). Naoaki Okazaki has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Sophia Ananiadou, Mitsuru Ishizuka, Jun’ichi Tsujii, Kentaro Inui, Sho Takase, Danushka Bollegala, Yutaka Matsuo, Kenji Hirohata, Masaaki Nagata and Jun Suzuki. Their work appears in journals such as The EMBO Journal, Bioinformatics and Biochemical and Biophysical Research Communications.
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.