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.
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
1992629 citationsShin‐ichi Horikawa, Takeshi Furuhashi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Y. Uchikawa'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 Y. Uchikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Uchikawa more than expected).
This network shows the impact of papers produced by Y. Uchikawa. 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 Y. Uchikawa. The network helps show where Y. Uchikawa may publish in the future.
Co-authorship network of co-authors of Y. Uchikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Uchikawa.
A scholar is included among the top collaborators of Y. Uchikawa 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 Y. Uchikawa. Y. Uchikawa 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.
Ishiguro, Akio, et al.. (1999). Autonomous Mobile Robot Control by a Neural Network with Dynamically-Rearranging Function. 11. 213–218.11 indexed citations
2.
Ito, Naoki, T. Yagi, Toshiya Matsushima, et al.. (1997). Development of Artificial Retina Using Cultured Neural Cells and Photoelectric Device: A Study on Electric Current with Membrane Model.. International Conference on Neural Information Processing. 124–127.7 indexed citations
Furuhashi, Takeshi, et al.. (1993). Controlling Excessive Fuzziness in a Fuzzy Classifier System. international conference on Genetic algorithms. 635.5 indexed citations
Furuhashi, Takeshi, et al.. (1992). Knowledge Acquisition of Control Strategy and Tactics Using Fuzzy Neural Networks(Journal of Japan Society for Fuzzy Theory and Systems). 4(5). 997–998.
13.
Gouhara, K., et al.. (1992). Handwritten Letter Recognition for Noisy Images Using the Three-Layerd BP-Models. Transactions of the Institute of Electronics, Information and Communication Engineers. 75(2). 314–323.1 indexed citations
14.
Horikawa, Shin‐ichi, Takeshi Furuhashi, & Y. Uchikawa. (1992). Composition Methods and Learning Algorithms of Fuzzy Neural Networks(Journal of Japan Society for Fuzzy Theory and Systems). 4(5). 996–997.1 indexed citations
Ishiguro, Akio, et al.. (1988). New method of PWM control for forced commutated cycloconverters using microprocessors. 712–721.2 indexed citations
20.
Uchikawa, Y., et al.. (1983). THEORETICAL AND EXPERIMENTAL-ANALYSIS OF THERMIONIC CATHODE ELECTRON-GUN PROPERTIES. Journal of Electron Microscopy. 32(3). 281.2 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.