Shunji Mori

82 papers receiving 2.2k citations

Hit Papers

Textural Features Corresponding to Visual Perception197820261994201019784008001.2k

Peers

Shunji Mori
Comparison fields: 5 of 150
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 292
  • Artificial Intelligence 264
  • Pathology and Forensic Medicine 226
  • Molecular Biology 209
Replace Hongbin Zha with:
Hongbin Zha China
Yalin Zheng United Kingdom
Cheng Lu China
Ewert Bengtsson Sweden
Toshiyuki Sakai Japan
Jing Huo China
Harry Wechsler United States
Andrzej Materka Poland
Enrico Grisan Italy
Tae‐Seong Kim South Korea
Shunji Mori relative to Hongbin Zha China Hongbin Zha's profile →
Citations per field
00.5×3.7×
Hongbin Zha · 1×
Citations per year

Countries citing papers authored by Shunji Mori

Since Specialization
Citations

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

Fields of papers citing papers by Shunji Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunji Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Shunji Mori. A scholar is included among the top collaborators of Shunji 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 Shunji Mori. Shunji 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
#WorkIndexed citations
1
数十ppbレベルでプロパン検出が可能な混成電位型YSZ(イットリア安定化ジルコニア)系センサ
1
2
Inflammatory pseudotumor of the appendix
2
3 2
4
A Method of Writer Verification without Keyword Registration Using Feature Sequences extraction from On-line Handwrittern Sentences.
4
5
Historical review of OCR research and development
35
6 1
7 1
8 1
9 0
10 0
11 0
12 0
13 0
14 1
15 0
16 7
17 0
18 0
19 2
20 7

About Shunji Mori

Shunji Mori is a scholar working on Dermatology, Pathology and Forensic Medicine and Cell Biology, having authored 102 papers that have together received 2.4k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (14 papers), Skin and Cellular Biology Research (13 papers) and Autoimmune Bullous Skin Diseases (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (292 citations) and Dermatology (132 citations). Shunji Mori has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hideyuki Tamura, Yasuo Kitajima, Kazuhiko Yamamoto, Manabu Maeda, Mariko Seishima, M Seishima, Kazuko Osada, Yukihiro Yada, Takashi Hashimoto and Kazuhiko Yamamoto. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biochemical and Biophysical Research Communications and Journal of Investigative Dermatology.

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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