Hidekazu Tsuji
- Information Systems top 5%
- Immunology
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Dermatology top 5%
- Co-authors
- Ryosuke MasudaYosuke HashimotoH. IizukaHidenori TakahashiAkemi Ishida‐YamamotoHiroshi YamamotoHisao KoizumiShinji Kitagami
- Topics
- Service-Oriented Architecture and Web Services (8 papers)Recommender Systems and Techniques (5 papers)Peer-to-Peer Network Technologies (4 papers)
- Journals
- Clinical and Experimental DermatologySimulation Modelling Practice and TheoryJournal of Computers
- Partner nations
- JapanUnited States
In The Last Decade
Hidekazu Tsuji
25 papers receiving 404 citations
Peers
Comparison fields: 5 of 73
- Information Systems 205
- Immunology 161
- Computer Networks and Communications 113
- Artificial Intelligence 100
- Dermatology 96
Countries citing papers authored by Hidekazu Tsuji
This map shows the geographic impact of Hidekazu Tsuji'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 Hidekazu Tsuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidekazu Tsuji more than expected).
Fields of papers citing papers by Hidekazu Tsuji
This network shows the impact of papers produced by Hidekazu Tsuji. 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 Hidekazu Tsuji. The network helps show where Hidekazu Tsuji may publish in the future.
Co-authorship network of co-authors of Hidekazu Tsuji
This figure shows the co-authorship network connecting the top 25 collaborators of Hidekazu Tsuji. A scholar is included among the top collaborators of Hidekazu Tsuji 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 Hidekazu Tsuji. Hidekazu Tsuji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neural Network to Control Output of Hidden Node According to Input Patterns | 1 |
| 2 | 5 | |
| 3 | 4 | |
| 4 | A Proposal of the Recommendation System Providing Unexpected Information Using the History of User's Operation | 1 |
| 5 | 2 | |
| 6 | 173 | |
| 7 | 117 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | Scheduling of web-based distance learning classes including remote experiments | 1 |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 2 |
About Hidekazu Tsuji
Hidekazu Tsuji is a scholar working on Information Systems, Management Information Systems and Health Information Management, having authored 27 papers that have together received 427 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (8 papers), Recommender Systems and Techniques (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Dermatology (96 citations), Information Systems (205 citations) and Immunology (161 citations). Hidekazu Tsuji has collaborated with scholars based in Japan and United States. Frequent co-authors include Ryosuke Masuda, Yosuke Hashimoto, H. Iizuka, Hidenori Takahashi, Akemi Ishida‐Yamamoto, Hiroshi Yamamoto, Hisao Koizumi, Shinji Kitagami, Hiroyuki Koizumi and Toshiyuki Nomura. Their work appears in journals such as Clinical and Experimental Dermatology, Simulation Modelling Practice and Theory and Journal of Computers.
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.