Mizuki Morita

1.4k total citations · 1 hit paper
43 papers, 918 citations indexed

About

Mizuki Morita is a scholar working on Molecular Biology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mizuki Morita has authored 43 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Artificial Intelligence and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mizuki Morita's work include Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Mizuki Morita is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Mizuki Morita collaborates with scholars based in Japan, North Macedonia and United States. Mizuki Morita's co-authors include Eiji Aramaki, Hiroyuki Furusawa, Yoshio Okahata, Yoshinobu Kano, Tomoko Ohkuma, Shugo Nakamura, Kentaro Shimizu, Shinichi Toyooka, Shuta Tomida and Junichi Soh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Analytical Chemistry.

In The Last Decade

Mizuki Morita

39 papers receiving 865 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter

2011 358 citations Eiji Aramaki, Mizuki Morita et al. Empirical Methods in Natural Language Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mizuki Morita Japan	14	262	246	189	149	103	43	918
Bryan Wilder United States	12	139 0.5×	119 0.5×	82 0.4×	63 0.4×	244 2.4×	48	1.0k
Hong Qi China	21	87 0.3×	71 0.3×	82 0.4×	122 0.8×	64 0.6×	86	1.6k
Lucy Lu Wang United States	19	292 1.1×	523 2.1×	56 0.3×	62 0.4×	125 1.2×	68	1.2k
Frank Lin Australia	13	181 0.7×	212 0.9×	39 0.2×	23 0.2×	113 1.1×	55	700
Richard Röttger Denmark	13	478 1.8×	143 0.6×	50 0.3×	42 0.3×	37 0.4×	56	909
Zain Hussain United Kingdom	12	61 0.2×	209 0.8×	103 0.5×	163 1.1×	20 0.2×	21	551
Donald MacDonald United Kingdom	8	376 1.4×	159 0.6×	29 0.2×	50 0.3×	79 0.8×	22	972
Daniel Scanfeld United States	8	214 0.8×	83 0.3×	128 0.7×	239 1.6×	5 0.0×	9	970
Yi-Cheng Chen Taiwan	18	713 2.7×	69 0.3×	59 0.3×	26 0.2×	196 1.9×	50	1.7k
Karen Duca United States	20	276 1.1×	157 0.6×	157 0.8×	73 0.5×	36 0.3×	33	1.2k

Countries citing papers authored by Mizuki Morita

Since Specialization

Citations

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

Fields of papers citing papers by Mizuki Morita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mizuki Morita

This figure shows the co-authorship network connecting the top 25 collaborators of Mizuki Morita. A scholar is included among the top collaborators of Mizuki Morita 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 Mizuki Morita. Mizuki Morita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yamane, Takahiro, Masanori Fujii, & Mizuki Morita. (2025). Clinical-level screening of sleep apnea syndrome with single-lead ECG alone is achievable using machine learning with appropriate time windows. Sleep And Breathing. 29(2). 156–156.

Morita, Mizuki, et al.. (2025). Trend of Digital Biomarkers (dBM) as Endpoints in Clinical Trials: Secondary Analysis of Open Data. Studies in health technology and informatics. 329. 391–395. 1 indexed citations

Yamane, Takahiro, et al.. (2025). Impact of Sensor-Axis Combinations on Machine Learning Accuracy for Human Activity Recognition Using Accelerometer Data in Clinical Settings. SHILAP Revista de lepidopterología. 9(1). 3 indexed citations

Yamane, Takahiro, et al.. (2025). Effects of Sampling Frequency on Human Activity Recognition with Machine Learning Aiming at Clinical Applications. Sensors. 25(12). 3780–3780.

Yamane, Takahiro, et al.. (2024). Application of Nine-Axis Accelerometer-Based Recognition of Daily Activities in Clinical Examination. SHILAP Revista de lepidopterología. 8(1). 29–46. 6 indexed citations

Yamane, Takahiro, et al.. (2023). Tri-Axial Accelerometer-Based Recognition of Daily Activities Causing Shortness of Breath in COPD Patients. SHILAP Revista de lepidopterología. 7(1). 64–75. 4 indexed citations

Yamane, Takahiro, et al.. (2021). Simple Wearable Device to Reduce Stress When Delivering a Speech without Pre-training. Healthcare Informatics Research. 27(3). 231–240. 3 indexed citations

Horiguchi, Hiromasa, et al.. (2020). De-identifying free text of Japanese electronic health records. Journal of Biomedical Semantics. 11(1). 11–11. 5 indexed citations

Wakamiya, Shoko, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, & Eiji Aramaki. (2018). Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations. Journal of Medical Internet Research. 21(2). e12783–e12783. 27 indexed citations

10.

Matsubara, Takehiro, Shuta Tomida, Junichi Soh, et al.. (2017). Effects of Cold Ischemia on RNA Stability and Quality of Lung Tissues Based on Standard PREanalytical Code Categorization. Biopreservation and Biobanking. 15(5). 484–486. 1 indexed citations

11.

Aramaki, Eiji, Yoshinobu Kano, Tomoko Ohkuma, & Mizuki Morita. (2016). MedNLPDoc: Japanese Shared Task for Clinical NLP. International Conference on Computational Linguistics. 13–16. 1 indexed citations

12.

Aramaki, Eiji, Mizuki Morita, Yoshinobu Kano, & Tomoko Ohkuma. (2016). Overview of the NTCIR-12 MedNLPDoc Task.. NTCIR. 8 indexed citations

13.

Aoki‐Kinoshita, Kiyoko F., Akira R. Kinjo, Mizuki Morita, et al.. (2015). Implementation of linked data in the life sciences at BioHackathon 2011. Journal of Biomedical Semantics. 6(1). 3–3. 14 indexed citations

14.

Aramaki, Eiji, Mizuki Morita, Yoshinobu Kano, & Tomoko Ohkuma. (2014). Overview of the NTCIR-11 MedNLP-2 Task. NTCIR. 18 indexed citations

15.

Morita, Mizuki, et al.. (2013). NTCIR-10 MedNLP Task Baseline System. NTCIR. 3 indexed citations

16.

Aramaki, Eiji, et al.. (2013). Word in a Dictionary is used by Numerous Users. International Joint Conference on Natural Language Processing. 874–877. 1 indexed citations

17.

Morita, Mizuki, et al.. (2013). Overview of the NTCIR-10 MedNLP Task. NTCIR. 30 indexed citations

18.

Aramaki, Eiji, et al.. (2012). Influenza patients are invisible in the web: Traditional model still improves the state-of-the-art web based influenza surveillance. National Conference on Artificial Intelligence. 5–8. 3 indexed citations

19.

Aramaki, Eiji, et al.. (2012). Microblog-based Infectious Disease Detection using Document Classification and Infectious Disease Model. Journal of Natural Language Processing. 19(5). 419–435. 1 indexed citations

20.

Aramaki, Eiji, et al.. (2011). Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter. Empirical Methods in Natural Language Processing. 1568–1576. 358 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact