Shingo Kuroiwa

1.2k total citations
140 papers, 765 citations indexed

About

Shingo Kuroiwa is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shingo Kuroiwa has authored 140 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Artificial Intelligence, 48 papers in Signal Processing and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shingo Kuroiwa's work include Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (42 papers) and Natural Language Processing Techniques (29 papers). Shingo Kuroiwa is often cited by papers focused on Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (42 papers) and Natural Language Processing Techniques (29 papers). Shingo Kuroiwa collaborates with scholars based in Japan, China and United States. Shingo Kuroiwa's co-authors include Fuji Ren, Yasuo Horiuchi, Hiroo Sekiya, David B. Bracewell, Xiuqin Wei, Marian K. Kazimierczuk, Takahiro Shinozaki, Tadashi Suetsugu, Takaaki Ishii and S. Tsuge and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Power Delivery and Information Processing & Management.

In The Last Decade

Shingo Kuroiwa

122 papers receiving 699 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shingo Kuroiwa Japan 13 431 289 112 102 76 140 765
Ahsan Adeel United Kingdom 15 441 1.0× 229 0.8× 115 1.0× 113 1.1× 71 0.9× 35 808
Katunobu Itou Japan 12 410 1.0× 362 1.3× 33 0.3× 89 0.9× 28 0.4× 65 661
M.A. Jack United Kingdom 13 316 0.7× 285 1.0× 99 0.9× 114 1.1× 35 0.5× 69 670
George Kokkinakis Greece 11 562 1.3× 280 1.0× 29 0.3× 90 0.9× 100 1.3× 52 791
Guillaume Lathoud Switzerland 16 572 1.3× 615 2.1× 147 1.3× 326 3.2× 27 0.4× 31 1.1k
Gérard Chollet France 17 669 1.6× 773 2.7× 34 0.3× 287 2.8× 73 1.0× 143 1.1k
Ananya Misra United States 12 416 1.0× 439 1.5× 29 0.3× 91 0.9× 134 1.8× 34 876
Mark Barnard United Kingdom 15 295 0.7× 438 1.5× 115 1.0× 588 5.8× 20 0.3× 34 980
Ian McGraw United States 14 777 1.8× 388 1.3× 63 0.6× 93 0.9× 49 0.6× 33 966
Claude C. Chibelushi United Kingdom 13 147 0.3× 260 0.9× 154 1.4× 390 3.8× 45 0.6× 39 734

Countries citing papers authored by Shingo Kuroiwa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ono, Yutaka, Takahiro Shinozaki, Ryuichi Nisimura, et al.. (2012). Open answer scoring for S-CAT automated speaking test system using support vector regression. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4.
2.
Nishimura, Yosuke, et al.. (2012). HMM Sign Language Recognition Using Kinect and Particle Filter. 111(431). 161–166. 4 indexed citations
3.
Tamura, Satoshi, Chiyomi Miyajima, Norihide Kitaoka, et al.. (2010). CENSREC-1-AV: an audio-visual corpus for noisy bimodal speech recognition.. AVSP. 6. 26 indexed citations
4.
Ren, Fuji, et al.. (2008). Automatic super-function extraction for translation of spoken dialogue. International journal of innovative computing, information & control. 4(6). 1371–1381. 2 indexed citations
5.
Bracewell, David B., et al.. (2008). The Creation of a Chinese Emotion Ontology Based on HowNet. Engineering letters. 16. 166–171. 35 indexed citations
6.
Matsumoto, Kazuyuki, et al.. (2008). EVALUATION OF EMOTION ESTIMATION METHODS BASED ON STATISTIC FEATURES OF EMOTION TAGGED CORPUS. International journal of innovative computing, information & control. 4(8). 1931–1941. 3 indexed citations
7.
Bracewell, David B., et al.. (2008). Japanese Emotion Corpus Analysis and its Usefor Automatic Emotion Word Identification.. Engineering letters. 16. 172–177. 3 indexed citations
8.
Bracewell, David B., et al.. (2007). Semi-Automatic Construction of an Emotion Ontology Using HowNet.. 17–21. 1 indexed citations
9.
Kuroiwa, Shingo, et al.. (2007). An Emotion Similarity Calculation Using N-gram Frequency. IPSJ SIG Notes. 2007(76). 37–42.
10.
Zhang, Yu, et al.. (2006). A Preliminary Research of Chinese Emotion Classification Model. Research in computing science. 20. 95–104. 9 indexed citations
11.
Jiang, Peilin, et al.. (2006). Rule-based translation of quantifiers for Chinese-Japanese machine translation. Annual Conference on Computers. 558–563. 2 indexed citations
12.
Bracewell, David B., et al.. (2006). SEEN: a semantic dependency analyzer for Chinese. Annual Conference on Computers. 553–557. 1 indexed citations
13.
Matsumoto, Kazuyuki, et al.. (2006). Estimating human emotions using wording and sentence patterns. 421–426. 12 indexed citations
14.
Ren, Fuji, et al.. (2006). How to improve the accuracy of super-function based Chinese-Japanese causative sentence machine translation. Annual Conference on Computers. 545–552. 1 indexed citations
15.
Bracewell, David B., Fuji Ren, & Shingo Kuroiwa. (2006). Towards knowledge about causal agents in wordnet. Annual Conference on Computers. 564–568. 1 indexed citations
16.
Bracewell, David B., et al.. (2006). A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese.. The Florida AI Research Society. 782–786. 1 indexed citations
17.
Kuroiwa, Shingo, et al.. (2005). XML based Extended Super-function Schema in Knowledge Representation. Research in computing science. 16. 3–12.
18.
Ren, Fuji, et al.. (2003). Recognition of Expression which uses Face Feature. 103(114). 61–66. 1 indexed citations
19.
Nakamura, Satoshi, Kazumasa Yamamoto, Kazuya Takeda, et al.. (2003). DATA COLLECTION AND EVALUATION OF AURORA-2 JAPANESE CORPUS. 619–623. 16 indexed citations
20.
Yamamoto, Kazumasa, Satoshi Nakamura, Kazuya Takeda, et al.. (2003). AURORA - 2J/AURORA - 3J Corpus and Evaluation Baseline. IPSJ SIG Notes. 2003(75). 101–106. 1 indexed citations

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.

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