Kenji Kita

861 total citations
114 papers, 494 citations indexed

About

Kenji Kita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kenji Kita has authored 114 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Kenji Kita's work include Advanced Image and Video Retrieval Techniques (22 papers), Sentiment Analysis and Opinion Mining (21 papers) and Natural Language Processing Techniques (21 papers). Kenji Kita is often cited by papers focused on Advanced Image and Video Retrieval Techniques (22 papers), Sentiment Analysis and Opinion Mining (21 papers) and Natural Language Processing Techniques (21 papers). Kenji Kita collaborates with scholars based in Japan, China and United Kingdom. Kenji Kita's co-authors include Fuji Ren, Makoto Sasaki, Masami Shishibori, Kazuyuki Matsumoto, Minoru Yoshida, Shingo Kuroiwa, S. Tsuge, Hiroaki Ogata, Yoneo Yano and Wayne Ward and has published in prestigious journals such as Applied Sciences, Information Processing & Management and BMC Musculoskeletal Disorders.

In The Last Decade

Kenji Kita

102 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Kita Japan 10 310 118 79 69 33 114 494
Abdelmajid Ben Hamadou Tunisia 13 481 1.6× 157 1.3× 115 1.5× 59 0.9× 18 0.5× 95 683
Takehito Utsuro Japan 12 623 2.0× 60 0.5× 70 0.9× 131 1.9× 40 1.2× 130 732
Mohsen Rashwan Egypt 16 486 1.6× 213 1.8× 59 0.7× 95 1.4× 13 0.4× 78 685
David D. McDonald United States 15 530 1.7× 43 0.4× 86 1.1× 59 0.9× 47 1.4× 63 680
Ahmed El Kholy United States 8 703 2.3× 230 1.9× 82 1.0× 18 0.3× 42 1.3× 23 783
Igor Labutov United States 11 556 1.8× 121 1.0× 84 1.1× 19 0.3× 7 0.2× 26 674
David Martins de Matos Portugal 13 323 1.0× 89 0.8× 101 1.3× 79 1.1× 5 0.2× 58 449
José A. R. Fonollosa Spain 17 974 3.1× 211 1.8× 58 0.7× 92 1.3× 42 1.3× 91 1.1k
Shinsuke Mori Japan 15 852 2.7× 243 2.1× 93 1.2× 60 0.9× 19 0.6× 107 996
Keh‐Yih Su Taiwan 16 750 2.4× 134 1.1× 105 1.3× 57 0.8× 24 0.7× 75 834

Countries citing papers authored by Kenji Kita

Since Specialization
Citations

This map shows the geographic impact of Kenji Kita'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 Kenji Kita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Kita more than expected).

Fields of papers citing papers by Kenji Kita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenji Kita. 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 Kenji Kita. The network helps show where Kenji Kita may publish in the future.

Co-authorship network of co-authors of Kenji Kita

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Kita. A scholar is included among the top collaborators of Kenji Kita 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 Kenji Kita. Kenji Kita 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.
Abe, Wataru, et al.. (2018). System Specific Period Superimposed Chart in PLC System under UDP Transmission -- Part 2: Verification of System Specific Period Search Algorithm under Test Bed and Actual In-Phase and Out-of-Phase Communications Environments. IEICE Technical Report; IEICE Tech. Rep.. 118(328). 19–22. 1 indexed citations
2.
Yoshida, Minoru, et al.. (2018). Visualization of the occurrence trend of infectious diseases using Twitter. Language Resources and Evaluation. 1 indexed citations
3.
Kitaoka, Norihide, et al.. (2013). Spoken Content Retrieval Using Distance Combination and Spoken Term Detection Using Hash Function for NTCIR10 SpokenDoc2 Task. NTCIR. 1 indexed citations
4.
Matsumoto, Kazuyuki, Kenji Kita, & Fuji Ren. (2012). Emotion Estimation from Sentence Using Relation between Japanese Slangs and Emotion Expressions. Pacific Asia Conference on Language, Information, and Computation. 343–350. 4 indexed citations
5.
Matsumoto, Koki, et al.. (2012). Emotional Vector Distance Based Sentiment Analysis of Wakamono Kotoba. China Communications. 9(3). 87–98. 2 indexed citations
6.
Chen, Mei, et al.. (2012). Learning Distance Metrics with Feature Space Performance for Image Retrieval. 3579–3583. 2 indexed citations
7.
Kita, Kenji, et al.. (2011). Exploring Emotional Words for Chinese Document Chief Emotion Analysis. Waseda University Repository (Waseda University). 597–606. 8 indexed citations
8.
Shishibori, Masami, et al.. (2011). Instance Search and Content-based Copy Detection Experiments for TRECVID 2011.. TRECVID.
9.
Mifune, Masaki, Motoyuki Suzuki, Fuji Ren, & Kenji Kita. (2011). Construction of Speaker Model Using A New GMM Learning Method Based on Clustering. IEICE technical report. Speech. 111(153). 7–10. 1 indexed citations
10.
Kitaoka, Norihide, et al.. (2011). Spoken document retrieval method combining query expansion with continuous syllable recognition for NTCIR-SpokenDoc.. NTCIR. 7 indexed citations
11.
Luo, Xin, Masami Shishibori, Fuji Ren, & Kenji Kita. (2007). Incorporate feature space transformation to content-based image retrieval with relevance feedback. International journal of innovative computing, information & control. 3(5). 1237–1250. 2 indexed citations
12.
Hoashi, Keiichiro, Kazunori Matsumoto, Masami Shishibori, et al.. (2007). High-Level Feature Extraction Experiments for TRECVID 2007. TRECVID. 5 indexed citations
13.
Matsumoto, Kazunori, Masami Shishibori, Kenji Kita, et al.. (2005). Shot Boundary Detection and High-Level Feature Extraction Experiments for TRECVID 2006.. TRECVID. 3 indexed citations
14.
Mochihashi, Daichi, Genichiro Kikui, & Kenji Kita. (2004). Learning Nonstructural Distance Metric by Minimum Cluster Distortion.. Empirical Methods in Natural Language Processing. 341–348. 8 indexed citations
15.
Shishibori, Masami, et al.. (2001). Information Retrieval Using Non - negative Matrix Factorization. IPSJ SIG Notes. 2001(20). 1–6. 3 indexed citations
16.
Kuroiwa, Shingo, et al.. (2001). Dimensionality Reduction of Vector Space Model for Information Retrieval using Simple Principal Compornent Analysis. IPSJ SIG Notes. 2001(69). 61–66. 2 indexed citations
17.
Kita, Kenji, et al.. (1994). Spoken Sentence Recognition Based on HMM-LR with Hybrid Language Modeling. IEICE Transactions on Information and Systems. 258–265. 2 indexed citations
18.
Kita, Kenji, et al.. (1994). Spoken Sentence Recognition Based on HMM-LR with Hybrid Language Modeling (Special Issue on Natural Language Processing and Understanding). IEICE Transactions on Information and Systems. 77(2). 258–265. 1 indexed citations
19.
Kita, Kenji, et al.. (1991). Processing Unknown Words in Continuous Speech Recognition. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 136–142. 7 indexed citations
20.
Kita, Kenji, Takeshi Kawabata, & Hiroaki Saito. (1989). Parsing Continuous Speech by HMM-LR Method.. 126–131. 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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