I. Yu
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Machine Learning and Algorithms 4
- Machine Learning and Data Classification 2
- Co-authors
- Joseph J.�Y. Sung (1 shared paper)Nan Zhong (1 shared paper)T W Wong (1 shared paper)Nelson Lee (1 shared paper)Xiaoping Tang (1 shared paper)Zhitong Huang (1 shared paper)Kelvin Tsoi (1 shared paper)David S.C. Hui (1 shared paper)
In The Last Decade
I. Yu
12 papers receiving 179 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 29
- Critical Care and Intensive Care Medicine 18
- Pulmonary and Respiratory Medicine 67
- Infectious Diseases 38
- Applied Microbiology and Biotechnology 3
Countries citing papers authored by I. Yu
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
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-authors
The 25 scholars most cited alongside I. Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 134 | |
| 2 | 2021 | 21 | |
| 3 | 2020 | 7 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2020 | 3 | |
| 8 | An Overlap Measure based on Species Proportions | 2001 | 3 |
| 9 | 2020 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2006 | 1 | |
| 12 | Mean-Variance Analysis in Bayesian Optimization under Uncertainty | 2021 | 1 |
| 13 | 2021 | 0 |
About I. Yu
I. Yu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Biomedical Engineering, having authored 13 papers that have together received 185 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Advanced Statistical Methods and Models (2 papers), Neural dynamics and brain function (2 papers), Photoreceptor and optogenetics research (2 papers), Probabilistic and Robust Engineering Design (2 papers), Machine Learning and Data Classification (2 papers) and Molecular Communication and Nanonetworks (2 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Critical Care and Intensive Care Medicine (18 citations), Pulmonary and Respiratory Medicine (67 citations), Infectious Diseases (38 citations) and Applied Microbiology and Biotechnology (3 citations). I. Yu has collaborated with scholars based in Japan, Israel and Hong Kong. Frequent co-authors include Joseph J.�Y. Sung, Nan Zhong, T W Wong, Nelson Lee, Xiaoping Tang, Zhitong Huang, Kelvin Tsoi, David S.C. Hui, Ichiro Takeuchi and Masae Konno. Their work appears in journals such as Neural Computation, Communications Biology, Clinical Infectious Diseases, IEEE Access and Annals of the Institute of Statistical Mathematics.
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.