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.
Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry
2007418 citationsManabu Kano et al.Computers & Chemical Engineeringprofile →
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 Manabu Kano'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 Manabu Kano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manabu Kano more than expected).
This network shows the impact of papers produced by Manabu Kano. 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 Manabu Kano. The network helps show where Manabu Kano may publish in the future.
Co-authorship network of co-authors of Manabu Kano
This figure shows the co-authorship network connecting the top 25 collaborators of Manabu Kano.
A scholar is included among the top collaborators of Manabu Kano 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 Manabu Kano. Manabu Kano is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kano, Manabu, et al.. (2012). Industrial applications of locally weighted PLS to realize maintenance-free high-performance virtual sensing. International Conference on Control, Automation and Systems. 545–548.1 indexed citations
11.
Kano, Manabu, et al.. (2011). Extended fictitious reference iterative tuning and its application to chemical processes. 379–384.24 indexed citations
12.
Kano, Manabu, et al.. (2010). Just-in-time statistical process control for flexible fault management. Society of Instrument and Control Engineers of Japan. 1482–1485.7 indexed citations
13.
Masuda, Shiro, et al.. (2010). A FICTITIOUS REFERENCE ITERATIVE TUNING METHOD WITH SIMULTANEOUS DELAY PARAMETER TUNING OF THE REFERENCE MODEL. International journal of innovative computing, information & control. 6(7). 2927–2939.20 indexed citations
14.
Fujiwara, Koichi, Manabu Kano, & Shinji Hasebe. (2009). Development of correlation-based pattern recognition and its application to adaptive soft-sensor design. 2009 ICCAS-SICE. 1990–1995.2 indexed citations
15.
Tonomura, Osamu, et al.. (2009). State and parameter estimation for Tubular Microreactors using particle filter. 2009 ICCAS-SICE. 3278–3282.1 indexed citations
16.
Masuda, Shiro, et al.. (2009). PID gain tuning for disturbance attenuation using FRIT method. 2009 ICCAS-SICE. 941–944.1 indexed citations
17.
Harada, Mayumi, et al.. (2008). COMPARATIVE STUDIES ABOUT KINEMATICS OF MAXIMAL SPRINT RUNNING AND RUNNING UP IN HORSE VAULTING. ISBS - Conference Proceedings Archive. 1(1).1 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.