Daniel W. Apley
Impact in
- Statistics, Probability and Uncertainty top 0.05%
- Probabilistic and Robust Engineering Design
- Advanced Statistical Process Monitoring
- Scientific Measurement and Uncertainty Evaluation
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Advanced Statistical Process Monitoring 31
- Probabilistic and Robust Engineering Design 25
- Scientific Measurement and Uncertainty Evaluation 14
-
- Advanced Multi-Objective Optimization Algorithms 38
- Co-authors
- Jingyu Zhu (2 shared papers)Wei Chen (44 shared papers)Jianjun Shi (11 shared papers)Ramin Bostanabad (5 shared papers)Paul D. Arendt (8 shared papers)Robert B. Gramacy (1 shared paper)Wing Kam Liu (8 shared papers)Fugee Tsung (3 shared papers)
- Journals
- Technometrics (16 papers)Journal of Mechanical Design (11 papers)Journal of Quality Technology (11 papers)International Journal for Numerical Methods in Engineering (4 papers)Computer Methods in Applied Mechanics and Engineering (4 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Daniel W. Apley
130 papers receiving 4.8k citations
Daniel W. Apley's Hit Papers
Peers
Comparison fields: 5 of 175
- Statistics, Probability and Uncertainty 1.7k
- Computational Theory and Mathematics 1.0k
- Statistics and Probability 490
- Industrial and Manufacturing Engineering 573
- Management Science and Operations Research 623
Countries citing papers authored by Daniel W. Apley
This map shows the geographic impact of Daniel W. Apley'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 Daniel W. Apley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Apley more than expected).
Fields of papers citing papers by Daniel W. Apley
This network shows the impact of papers produced by Daniel W. Apley. 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 Daniel W. Apley. The network helps show where Daniel W. Apley may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Apley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models Hit paper breakdown → | 2020 | 838 |
| 2 | A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality Hit paper breakdown → | 2017 | 419 |
| 3 | Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques Hit paper breakdown → | 2018 | 308 |
| 4 | 2012 | 244 | |
| 5 | 2014 | 221 | |
| 6 | 2015 | 170 | |
| 7 | 2020 | 167 | |
| 8 | 2008 | 139 | |
| 9 | 2005 | 134 | |
| 10 | 1998 | 120 | |
| 11 | 2008 | 115 | |
| 12 | 1999 | 110 | |
| 13 | 2012 | 109 | |
| 14 | 2006 | 104 | |
| 15 | 2002 | 94 | |
| 16 | 2001 | 79 | |
| 17 | 2019 | 73 | |
| 18 | 2003 | 64 | |
| 19 | 2016 | 61 | |
| 20 | 2017 | 53 |
About Daniel W. Apley
Daniel W. Apley is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability and Artificial Intelligence, having authored 138 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (38 papers), Advanced Statistical Process Monitoring (31 papers), Probabilistic and Robust Engineering Design (25 papers), Optimal Experimental Design Methods (24 papers), Fault Detection and Control Systems (17 papers), Industrial Vision Systems and Defect Detection (16 papers), Advanced Statistical Methods and Models (15 papers) and Scientific Measurement and Uncertainty Evaluation (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.7k citations), Computational Theory and Mathematics (1.0k citations), Statistics and Probability (490 citations), Industrial and Manufacturing Engineering (573 citations) and Management Science and Operations Research (623 citations). Daniel W. Apley has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jingyu Zhu, Wei Chen, Jianjun Shi, Ramin Bostanabad, Paul D. Arendt, Robert B. Gramacy, Wing Kam Liu, Fugee Tsung, Anh Tuan Bui and Lianjie Shu. Their work appears in journals such as Technometrics, Journal of Mechanical Design, Journal of Quality Technology, International Journal for Numerical Methods in Engineering and Computer Methods in Applied Mechanics and Engineering.
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.