Katsutoshi Yada

888 total citations
64 papers, 453 citations indexed

About

Katsutoshi Yada is a scholar working on Marketing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Katsutoshi Yada has authored 64 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Marketing, 13 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Katsutoshi Yada's work include Consumer Market Behavior and Pricing (31 papers), Consumer Retail Behavior Studies (28 papers) and Customer churn and segmentation (18 papers). Katsutoshi Yada is often cited by papers focused on Consumer Market Behavior and Pricing (31 papers), Consumer Retail Behavior Studies (28 papers) and Customer churn and segmentation (18 papers). Katsutoshi Yada collaborates with scholars based in Japan, China and Macao. Katsutoshi Yada's co-authors include Naoki Katoh, A. B. M. Shawkat Ali, Takashi Washio, Shinya Miyazaki, Edward H. Ip, Tomomichi Suzuki, Zhen Li, Hiroshi Motoda, Yusuke Zennyo and Tieshan Li and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Decision Support Systems and Journal of Retailing and Consumer Services.

In The Last Decade

Katsutoshi Yada

58 papers receiving 413 citations

Peers

Katsutoshi Yada
Sujoy Bag India
Tripti Mahara India
Yingbo Wu China
Young-Hoon Park South Korea
Suyeon Kim South Korea
Rohit Kapoor United States
Syam Menon United States
Hee Seok Song South Korea
Rattapoom Tuchinda United States
Erich Teppan Austria
Sujoy Bag India
Katsutoshi Yada
Citations per year, relative to Katsutoshi Yada Katsutoshi Yada (= 1×) peers Sujoy Bag

Countries citing papers authored by Katsutoshi Yada

Since Specialization
Citations

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

Fields of papers citing papers by Katsutoshi Yada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsutoshi Yada

This figure shows the co-authorship network connecting the top 25 collaborators of Katsutoshi Yada. A scholar is included among the top collaborators of Katsutoshi Yada 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 Katsutoshi Yada. Katsutoshi Yada 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.
Zhou, Xiaokang, Wei Liang, Kevin I‐Kai Wang, et al.. (2025). Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security. IEEE Journal on Selected Areas in Communications. 43(6). 1908–1922. 8 indexed citations
2.
Yada, Katsutoshi, et al.. (2023). New Frontiers in Artificial Intelligence. Lecture notes in computer science.
3.
Zhao, Licheng, et al.. (2021). Application of Long Short-term Memory Based Neural Network for Classification of Customer Behavior. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 15. 994–999. 1 indexed citations
4.
Wu, Bo, et al.. (2020). Short-term Impact of Item-based Loyalty Program on Customer Purchase Behaviors. RePEc: Research Papers in Economics. 14(2). 181–192. 1 indexed citations
5.
Li, Zhen, Katsutoshi Yada, & Yusuke Zennyo. (2020). Duration of price promotion and product profit: An in-depth study based on point-of-sale data. Journal of Retailing and Consumer Services. 58. 102277–102277. 11 indexed citations
6.
7.
Wu, Bo, et al.. (2018). The Short-Term Impact of an Item-Based Loyalty Program. 97. 1846–1851. 2 indexed citations
8.
Yada, Katsutoshi, et al.. (2016). Prediction of Consumer Purchasing in a Grocery Store Using Machine Learning Techniques. 18–25. 16 indexed citations
9.
10.
Yada, Katsutoshi. (2014). Data Mining for Service. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
11.
Yada, Katsutoshi, et al.. (2012). Customer Behavior Modelling Using Radio Frequency Identification Data and the Hidden Markov Model. 509–514. 4 indexed citations
12.
Yada, Katsutoshi, et al.. (2012). Analyzing consumers’ shopping behavior using RFID data and pattern mining. Advances in Data Analysis and Classification. 6(4). 355–365. 26 indexed citations
13.
Yada, Katsutoshi, et al.. (2011). Finding latent groups of customers via the poisson mixture regression model. 3603–3608. 11 indexed citations
14.
Miyazaki, Shinya, Takashi Washio, & Katsutoshi Yada. (2011). Analysis of Residence Time in Shopping Using RFID Data -- An Application of the Kernel Density Estimation to RFID. 1170–1176. 12 indexed citations
15.
Yada, Katsutoshi, et al.. (2009). Modelling deposit outflow in financial crises: application to branch management and customer relationship management. International Journal of Advanced Intelligence Paradigms. 2(2/3). 254–254. 4 indexed citations
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Yada, Katsutoshi & Naohiro Matsumura. (2006). Knowledge Discovery from the structure of Persuasive Communication. 1741–1746. 1 indexed citations
18.
Yada, Katsutoshi, et al.. (2006). The Future Direction of New Computing Environment for Exabyte Data in the Business World. 316–319. 2 indexed citations
19.
Yada, Katsutoshi, et al.. (2004). Knowledge Discovery from Consumer Behavior in an Alcohol Market by Using Graph Mining Technique. 2004(125). 111–116. 1 indexed citations
20.
Katoh, Naoki, et al.. (1998). Mining Pharmacy Data Helps to Make Profits. Data Mining and Knowledge Discovery. 2(4). 391–398. 23 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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