Usue Mori

1.2k total citations
24 papers, 805 citations indexed

About

Usue Mori is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Usue Mori has authored 24 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 15 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Usue Mori's work include Time Series Analysis and Forecasting (15 papers), Anomaly Detection Techniques and Applications (13 papers) and Network Security and Intrusion Detection (6 papers). Usue Mori is often cited by papers focused on Time Series Analysis and Forecasting (15 papers), Anomaly Detection Techniques and Applications (13 papers) and Network Security and Intrusion Detection (6 papers). Usue Mori collaborates with scholars based in Spain, United States and France. Usue Mori's co-authors include José A. Lozano, Alexander Mendiburu, Ángel Conde, José Miguel-Alonso, Sanjoy Dasgupta, Eamonn Keogh, Simon Malinowski, Karl Øyvind Mikalsen, José M. Asúa and Robert Jenssen and has published in prestigious journals such as ACM Computing Surveys, Pattern Recognition and Information Sciences.

In The Last Decade

Usue Mori

22 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Usue Mori Spain 12 367 337 168 166 162 24 805
Tung Kieu Denmark 13 428 1.2× 394 1.2× 194 1.2× 82 0.5× 189 1.2× 19 815
Chih‐Chieh Hung Taiwan 13 136 0.4× 293 0.9× 91 0.5× 218 1.3× 179 1.1× 39 684
Jiayun Luo Singapore 5 236 0.6× 116 0.3× 485 2.9× 316 1.9× 70 0.4× 6 838
Congrui Huang China 5 599 1.6× 403 1.2× 51 0.3× 23 0.1× 239 1.5× 8 892
S. Chu United States 3 308 0.8× 428 1.3× 28 0.2× 41 0.2× 99 0.6× 7 740
Renhe Jiang Japan 20 316 0.9× 326 1.0× 679 4.0× 551 3.3× 64 0.4× 87 1.2k
Tongyu Zhu China 14 124 0.3× 99 0.3× 248 1.5× 367 2.2× 85 0.5× 64 777
Jilin Hu Denmark 15 187 0.5× 334 1.0× 253 1.5× 221 1.3× 98 0.6× 39 744
Sin G. Teo Singapore 10 245 0.7× 121 0.4× 224 1.3× 165 1.0× 141 0.9× 27 638
Étienne Côme France 14 194 0.5× 90 0.3× 320 1.9× 631 3.8× 36 0.2× 38 1.1k

Countries citing papers authored by Usue Mori

Since Specialization
Citations

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

Fields of papers citing papers by Usue Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usue Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Usue Mori. A scholar is included among the top collaborators of Usue Mori 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 Usue Mori. Usue Mori 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.
Ballard, Nicholas, et al.. (2024). Reinforcement learning for the optimization and online control of emulsion polymerization reactors: Particle morphology. Computers & Chemical Engineering. 187. 108739–108739. 7 indexed citations
2.
Mori, Usue, et al.. (2024). Light up that Droid! On the effectiveness of static analysis features against app obfuscation for Android malware detection. Journal of Network and Computer Applications. 235. 104094–104094. 1 indexed citations
3.
Quiñones, Ileana, Lucía Amoruso, Usue Mori, et al.. (2024). Unveiling the neuroplastic capacity of the bilingual brain: insights from healthy and pathological individuals. Brain Structure and Function. 229(9). 2187–2205.
4.
Mori, Usue, et al.. (2023). Minimum Recall-Based Loss Function for Imbalanced Time Series Classification. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10024–10034. 8 indexed citations
5.
Mori, Usue, et al.. (2023). Efficient concept drift handling for batch android malware detection models. Pervasive and Mobile Computing. 96. 101849–101849. 6 indexed citations
6.
Mori, Usue, et al.. (2022). Early prediction of Ibex 35 movements. Journal of Forecasting. 42(5). 1150–1166.
7.
Mori, Usue, et al.. (2022). Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning. Computers & Security. 124. 102996–102996. 28 indexed citations
8.
Mori, Usue, et al.. (2022). Time series classifier recommendation by a meta-learning approach. Pattern Recognition. 128. 108671–108671. 8 indexed citations
9.
Lozano, José A., et al.. (2022). A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]. IEEE Computational Intelligence Magazine. 17(1). 102–114. 5 indexed citations
10.
Mori, Usue, et al.. (2022). Ad-hoc explanation for time series classification. Knowledge-Based Systems. 252. 109366–109366. 5 indexed citations
11.
Conde, Ángel, et al.. (2021). Water leak detection using self-supervised time series classification. Information Sciences. 574. 528–541. 25 indexed citations
12.
Mori, Usue, et al.. (2020). Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process. IEEE Transactions on Network and Service Management. 17(4). 2451–2479. 75 indexed citations
13.
Conde, Ángel, et al.. (2020). A review on outlier/anomaly detection in time series data. arXiv (Cornell University). 4 indexed citations
14.
Mori, Usue, et al.. (2020). Mutual information based feature subset selection in multivariate time series classification. Pattern Recognition. 108. 107525–107525. 44 indexed citations
15.
Mori, Usue, et al.. (2019). Early classification of time series using multi-objective optimization techniques. Information Sciences. 492. 204–218. 27 indexed citations
16.
Mori, Usue, et al.. (2018). A review on distance based time series classification. Data Mining and Knowledge Discovery. 33(2). 378–412. 5 indexed citations
17.
Mori, Usue, Alexander Mendiburu, & José A. Lozano. (2016). Distance Measures for Time Series in R: The TSdist Package. The R Journal. 8(2). 451–451. 62 indexed citations
18.
Mori, Usue, Alexander Mendiburu, Eamonn Keogh, & José A. Lozano. (2016). Reliable early classification of time series based on discriminating the classes over time. Data Mining and Knowledge Discovery. 31(1). 233–263. 47 indexed citations
19.
Mori, Usue, Alexander Mendiburu, & José A. Lozano. (2015). Similarity Measure Selection for Clustering Time Series Databases. IEEE Transactions on Knowledge and Data Engineering. 28(1). 181–195. 56 indexed citations
20.
Mori, Usue, et al.. (2014). A review of travel time estimation and forecasting for Advanced Traveller Information Systems. Transportmetrica A Transport Science. 11(2). 119–157. 183 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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