Noboru Niki

1.9k total citations
191 papers, 1.3k citations indexed

About

Noboru Niki is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Noboru Niki has authored 191 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Radiology, Nuclear Medicine and Imaging, 89 papers in Pulmonary and Respiratory Medicine and 45 papers in Computer Vision and Pattern Recognition. Recurrent topics in Noboru Niki's work include Radiomics and Machine Learning in Medical Imaging (100 papers), Lung Cancer Diagnosis and Treatment (74 papers) and Medical Imaging Techniques and Applications (55 papers). Noboru Niki is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (100 papers), Lung Cancer Diagnosis and Treatment (74 papers) and Medical Imaging Techniques and Applications (55 papers). Noboru Niki collaborates with scholars based in Japan, United States and United Arab Emirates. Noboru Niki's co-authors include Yoshiki Kawata, Hironobu Ohmatsu, Noriyuki Moriyama, Ryutaro Kakinuma, Masahiro Kaneko, N. Moriyama, K. Eguchi, Kenji Eguchi, H. Satoh and Keizo Kanazawa and has published in prestigious journals such as Sensors, Pattern Recognition and Medical Physics.

In The Last Decade

Noboru Niki

167 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noboru Niki Japan 19 879 752 330 298 153 191 1.3k
Yoshiki Kawata Japan 15 752 0.9× 603 0.8× 254 0.8× 208 0.7× 151 1.0× 140 978
Volker Dicken Germany 19 863 1.0× 572 0.8× 281 0.9× 153 0.5× 215 1.4× 48 1.3k
Kyunghyun Sung United States 23 1.4k 1.6× 510 0.7× 286 0.9× 208 0.7× 348 2.3× 91 2.0k
Lena Costaridou Greece 18 850 1.0× 380 0.5× 506 1.5× 715 2.4× 262 1.7× 86 1.5k
Mathilde Marie Winkler Wille Denmark 6 765 0.9× 539 0.7× 137 0.4× 283 0.9× 116 0.8× 7 1.0k
Matiullah Naqibullah Denmark 6 735 0.8× 551 0.7× 128 0.4× 275 0.9× 112 0.7× 10 982
Ali Kamen United States 22 750 0.9× 349 0.5× 322 1.0× 254 0.9× 294 1.9× 66 1.4k
Paul K. Gerke Netherlands 5 751 0.9× 547 0.7× 132 0.4× 280 0.9× 108 0.7× 8 979
Jin Tae Kwak South Korea 23 586 0.7× 343 0.5× 363 1.1× 572 1.9× 204 1.3× 69 1.3k
Colin Jacobs Netherlands 28 2.3k 2.7× 2.2k 2.9× 247 0.7× 588 2.0× 312 2.0× 74 3.1k

Countries citing papers authored by Noboru Niki

Since Specialization
Citations

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

Fields of papers citing papers by Noboru Niki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noboru Niki

This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Niki. A scholar is included among the top collaborators of Noboru Niki 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 Noboru Niki. Noboru Niki 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.
Niki, Noboru, et al.. (2022). Indonesian-English Code Mixing Found in Wardah Beauty Youtube Channel. 2(2). 45–54. 1 indexed citations
2.
Kawata, Yoshiki, et al.. (2015). Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset. IEICE technical report. Speech. 115(200). 127–132. 1 indexed citations
3.
Kawata, Yoshiki, Noboru Niki, Mitsuo Satake, et al.. (2013). Blood vessel‐based liver segmentation using the portal phase of an abdominal CT dataset. Medical Physics. 40(11). 113501–113501. 18 indexed citations
4.
Niki, Noboru. (2008). Development of Computer Aided Diagnosis for Lung Cancer CT Screening. IEICE Transactions on Information and Systems. 91(7). 1715–1729.
5.
Nakashima, Hirotaka, M. Kubo, Yoshiki Kawata, et al.. (2006). Computer-Aided Diagnosis System for Lung Cancer using Retrospective CT Images. IEICE technical report. Speech. 105(579). 29–32. 1 indexed citations
6.
Kawai, Jun, Yoshiki Kawata, Noboru Niki, et al.. (2006). Classfication algorithm of Segmental Bronchus based on Multi-Slice CT images. IEICE Technical Report; IEICE Tech. Rep.. 106(225). 5–8. 1 indexed citations
7.
Nishio, T., Yoshiki Kawata, Noboru Niki, et al.. (2005). An Extraction Algorithm of Pulmonary Vein and Artery based on Multi-Slice CT Image. 105(63). 41–45. 1 indexed citations
8.
Kawata, Yoshiki, et al.. (2005). Diagnostic Performance Evaluation of CT Slice Thickness for Lung Cancer Detection. IEICE Technical Report; IEICE Tech. Rep.. 105(303). 51–55.
9.
Kawata, Yoshiki, et al.. (2005). Diagnostic Performance Evaluation of CT Slice Thickness for Lung Cancer Detection(Joint Session 1). 105(303). 51–55.
10.
Kawata, Yoshiki, Noboru Niki, Hironobu Ohmatsu, & Noriyuki Moriyama. (2003). A Deformable Surface Model Based on Boundary and Region Information for Pulmonary Nodule Segmentation from 3-D Thoracic CT Images. IEICE Transactions on Information and Systems. 1921–1930. 5 indexed citations
11.
Sammouda, Rachid, et al.. (2002). Cancerous nuclei detection on digitized pathological lung color images. Computers and Biomedical Research. 35(2). 92–98. 2 indexed citations
12.
Satoh, Hitoshi, Noboru Niki, Kenji Eguchi, et al.. (2001). Computer-Aided Diagnosis System for Comparative Reading of Helical CT Images for the Detection of Lung Cancer. IEICE Transactions on Information and Systems. 84(1). 161–170. 6 indexed citations
13.
Sammouda, Rachid, et al.. (1999). Segmentation and Analysis of Liver Cancer Pathological Color Images based on Artificial Neural Networks. 17(4). 453–454. 1 indexed citations
14.
Niki, Noboru, et al.. (1998). The Effects of Inhomogeneities and Geometry on MCG due to a Single Current Dipole. 16(4). 387–388. 1 indexed citations
15.
Sammouda, Rachid, et al.. (1998). Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks. IEICE Transactions on Information and Systems. 81(8). 862–871. 13 indexed citations
16.
Niki, Noboru, et al.. (1997). Sputum Color Image Segmentation for Lung Cancer Diagnosis. 15(4). 525–526. 1 indexed citations
17.
Sammouda, Rachid, Noboru Niki, & Hiromu Nishitani. (1996). Segmentation of Brain MR Images Based on Neural Networks. IEICE Transactions on Information and Systems. 79(4). 349–356. 8 indexed citations
18.
Sammouda, Rachid, Noboru Niki, & Hiromu Nishitani. (1995). Neural networks for the segmentation of magnetic resonance images. Lecture notes in computer science. 1024. 339–346. 1 indexed citations
19.
Niki, Noboru, et al.. (1994). 3D Diagnostic Imaging of Blood Vessels using an X-Ray Rotational Angiographic System. National Conference on Artificial Intelligence. 169–172. 11 indexed citations
20.
Niki, Noboru, et al.. (1992). A Magnetoencephalographic Mapping Using multichannel SQUID System and MRI. 16(55). 59–65.

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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