Shingo Kuroiwa
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Fuji RenYasuo HoriuchiHiroo SekiyaDavid B. BracewellXiuqin WeiMarian K. KazimierczukTakahiro ShinozakiTadashi Suetsugu
- Topics
- Speech Recognition and Synthesis (51 papers)Speech and Audio Processing (42 papers)Natural Language Processing Techniques (29 papers)
- Journals
- The Journal of the Acoustical Society of AmericaIEEE Transactions on Power DeliveryInformation Processing & Management
- Partner nations
- JapanChinaUnited States
In The Last Decade
Shingo Kuroiwa
122 papers receiving 699 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 431
- Signal Processing 289
- Electrical and Electronic Engineering 112
- Computer Vision and Pattern Recognition 102
- Information Systems 76
Countries citing papers authored by Shingo Kuroiwa
This map shows the geographic impact of Shingo Kuroiwa'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 Shingo Kuroiwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Kuroiwa more than expected).
Fields of papers citing papers by Shingo Kuroiwa
This network shows the impact of papers produced by Shingo Kuroiwa. 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 Shingo Kuroiwa. The network helps show where Shingo Kuroiwa may publish in the future.
Co-authorship network of co-authors of Shingo Kuroiwa
This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Kuroiwa. A scholar is included among the top collaborators of Shingo Kuroiwa 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 Shingo Kuroiwa. Shingo Kuroiwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | HMM Sign Language Recognition Using Kinect and Particle Filter | 4 |
| 2 | CENSREC-1-AV: an audio-visual corpus for noisy bimodal speech recognition. | 26 |
| 3 | Automatic super-function extraction for translation of spoken dialogue | 2 |
| 4 | Japanese Emotion Corpus Analysis and its Usefor Automatic Emotion Word Identification. | 3 |
| 5 | EVALUATION OF EMOTION ESTIMATION METHODS BASED ON STATISTIC FEATURES OF EMOTION TAGGED CORPUS | 3 |
| 6 | The Creation of a Chinese Emotion Ontology Based on HowNet | 35 |
| 7 | Sign Language Recognition Based on Position and Movement Using Hidden Markov Model | 1 |
| 8 | Semi-Automatic Construction of an Emotion Ontology Using HowNet. | 1 |
| 9 | An Emotion Similarity Calculation Using N-gram Frequency | 0 |
| 10 | Search Computing Based on Google API for QA System | 0 |
| 11 | Progress Report of SLP Noisy Speech Recognition Evaluation WG : Individual evaluation framework for each factor affecting recognition performance (2) | 3 |
| 12 | A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese. | 1 |
| 13 | A Preliminary Research of Chinese Emotion Classification Model | 9 |
| 14 | Rule-based translation of quantifiers for Chinese-Japanese machine translation | 2 |
| 15 | SEEN: a semantic dependency analyzer for Chinese | 1 |
| 16 | The emotion recognition through classification with the support vector machines | 2 |
| 17 | How to improve the accuracy of super-function based Chinese-Japanese causative sentence machine translation | 1 |
| 18 | A Chinese Automatic Text Summarization system for mobile devices | 5 |
| 19 | AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition(Speech Corpora and Related Topics, Corpus-Based Speech Technologies) | 1 |
| 20 | Multi-Lingual Multi-Function Multi-Media Intelligent System | 0 |
About Shingo Kuroiwa
Shingo Kuroiwa is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 140 papers that have together received 765 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (42 papers) and Natural Language Processing Techniques (29 papers). The work is most often cited by research in Signal Processing (289 citations), Artificial Intelligence (431 citations) and Human-Computer Interaction (51 citations). Shingo Kuroiwa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Fuji Ren, Yasuo Horiuchi, Hiroo Sekiya, David B. Bracewell, Xiuqin Wei, Marian K. Kazimierczuk, Takahiro Shinozaki, Tadashi Suetsugu, Takaaki Ishii and Masami Shishibori. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Power Delivery and Information Processing & Management.
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.