I. Yu

6.3k total citations
13 papers, 172 citations indexed

About

I. Yu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, I. Yu has authored 13 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Computational Theory and Mathematics. Recurrent topics in I. Yu's work include Machine Learning and Algorithms (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Photoreceptor and optogenetics research (2 papers). I. Yu is often cited by papers focused on Machine Learning and Algorithms (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Photoreceptor and optogenetics research (2 papers). I. Yu collaborates with scholars based in Japan, Israel and Singapore. I. Yu's co-authors include Nelson Lee, Zhitong Huang, Kelvin Tsoi, David S.C. Hui, Joseph J.�Y. Sung, Xiaoping Tang, Nan Zhong, T W Wong, Ichiro Takeuchi and Hiromu Yawo and has published in prestigious journals such as Clinical Infectious Diseases, IEEE Access and Neural Computation.

In The Last Decade

I. Yu

12 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I. Yu Japan	4	80	46	31	30	25	13	172
Pranai Tandon United States	7	54 0.7×	64 1.4×	15 0.5×	24 0.8×	26 1.0×	16	215
Chaisith Sivakorn Thailand	10	45 0.6×	82 1.8×	8 0.3×	11 0.4×	40 1.6×	20	188
Juan P. Romero-González Mexico	5	30 0.4×	66 1.4×	7 0.2×	34 1.1×	24 1.0×	12	120
Lin Luo China	6	31 0.4×	130 2.8×	6 0.2×	35 1.2×	24 1.0×	20	273
Daniel C. Cannon United States	8	61 0.8×	27 0.6×	47 1.5×	8 0.3×	2 0.1×	14	290
Hua-jian Xu China	4	24 0.3×	138 3.0×	9 0.3×	63 2.1×	33 1.3×	7	314
Sarah Denny United Kingdom	7	17 0.2×	145 3.2×	28 0.9×	30 1.0×	10 0.4×	11	286
Yuchong Li China	7	41 0.5×	187 4.1×	17 0.5×	40 1.3×	21 0.8×	14	308
Jean Regina Switzerland	7	22 0.3×	78 1.7×	5 0.2×	31 1.0×	7 0.3×	13	168
Simona Biscarini Italy	6	13 0.2×	69 1.5×	5 0.2×	28 0.9×	8 0.3×	11	107

Countries citing papers authored by I. Yu

Since Specialization

Citations

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

Fields of papers citing papers by I. Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of I. Yu. A scholar is included among the top collaborators of I. Yu 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 I. Yu. I. Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Yu, I., et al.. (2022). Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation. Annals of the Institute of Statistical Mathematics. 74(6). 1197–1228. 5 indexed citations

Yu, I., Kentaro Kutsukake, Takashi Nakano, et al.. (2022). Bayesian Optimization for Cascade-Type Multistage Processes. Neural Computation. 34(12). 2408–2431. 2 indexed citations

Yu, I., et al.. (2021). Mean-Variance Analysis in Bayesian Optimization under Uncertainty. International Conference on Artificial Intelligence and Statistics. 973–981. 1 indexed citations

Inoue, Keiichi, Masayuki Karasuyama, Ryoko Nakamura, et al.. (2021). Author Correction: Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design. Communications Biology. 4(1). 532–532.

Inoue, Keiichi, Masayuki Karasuyama, Ryoko Nakamura, et al.. (2021). Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design. Communications Biology. 4(1). 362–362. 20 indexed citations

Yu, I., et al.. (2021). Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. Neural Computation. 33(12). 3413–3466. 1 indexed citations

Yu, I., et al.. (2020). Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty. IEEE Access. 8. 203982–203993. 3 indexed citations

Yu, I., Masayuki Karasuyama, Keiichi Inoue, & Ichiro Takeuchi. (2020). Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions. Neural Computation. 32(12). 2486–2531. 1 indexed citations

Yu, I., Daisuke Sugita, Kazuaki Toyoura, & Ichiro Takeuchi. (2020). Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives. Neural Computation. 32(10). 2032–2068. 3 indexed citations

10.

Hashimoto, Noriaki, et al.. (2020). Computing Valid P-Values for Image Segmentation by Selective Inference. 9550–9559. 7 indexed citations

11.

Yu, I., Kelvin Tsoi, Xiaoping Tang, et al.. (2007). Why Did Outbreaks of Severe Acute Respiratory Syndrome Occur in Some Hospital Wards but Not in Others?. Clinical Infectious Diseases. 44(8). 1017–1025. 125 indexed citations

12.

Hoshi, Yoko, et al.. (2006). Intraoperative Monitoring of Depth Dependent Hemoglobin Concentration Changes during CEA by Time-resolved Reflectance. Biomedical optics. 2389. TuI1–TuI1. 1 indexed citations

13.

Yu, I., et al.. (2001). An Overlap Measure based on Species Proportions. 3 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.

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