T. Warren Liao
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- Advanced Manufacturing and Logistics Optimization 19
- Scheduling and Optimization Algorithms 12
- Manufacturing Process and Optimization 12
- Signal Processing top 0.5%
- Artificial Intelligence top 0.5%
- Fuzzy Logic and Control Systems 11
- Mechanical Engineering top 1%
- Advanced machining processes and optimization 23
- Welding Techniques and Residual Stresses 23
- Non-Destructive Testing Techniques 13
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- Advanced Surface Polishing Techniques 12
- Journals
- PLoS ONE (1 paper)Expert Systems with Applications (4 papers)International Journal of Production Economics (5 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
T. Warren Liao
135 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Industrial and Manufacturing Engineering 1.4k
- Signal Processing 1.1k
- Artificial Intelligence 1.6k
- Management Science and Operations Research 593
- Mechanical Engineering 1.6k
Countries citing papers authored by T. Warren Liao
This map shows the geographic impact of T. Warren Liao'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 T. Warren Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Warren Liao more than expected).
Fields of papers citing papers by T. Warren Liao
This network shows the impact of papers produced by T. Warren Liao. 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 T. Warren Liao. The network helps show where T. Warren Liao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. Warren Liao, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2020 | 3 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 69 | |
| 8 | 2016 | 61 | |
| 9 | 2013 | 18 | |
| 10 | 2011 | 96 | |
| 11 | 2008 | 110 | |
| 12 | 2003 | 5 | |
| 13 | Generation of Fuzzy Due-date Assignment Rules. | 2002 | 3 |
| 14 | 2002 | 9 | |
| 15 | 1999 | 52 | |
| 16 | A Quick Defect Detection Algorithm for Magnetic Resonance Images of Hardwood Logs | 1998 | 13 |
| 17 | 1997 | 19 | |
| 18 | 1996 | 76 | |
| 19 | 1995 | 11 | |
| 20 | SETTING CHANGE INTERVALS AT SIGNALIZED INTERSECTIONS | 1987 | 5 |
About T. Warren Liao
T. Warren Liao is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Management Science and Operations Research, having authored 142 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (23 papers), Welding Techniques and Residual Stresses (23 papers), Advanced Manufacturing and Logistics Optimization (19 papers), Non-Destructive Testing Techniques (13 papers), Scheduling and Optimization Algorithms (12 papers), Manufacturing Process and Optimization (12 papers), Advanced Surface Polishing Techniques (12 papers) and Fuzzy Logic and Control Systems (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.4k citations), Signal Processing (1.1k citations) and Artificial Intelligence (1.6k citations). T. Warren Liao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Qinglin Duan, Pei‐Chann Chang, Zhang Li, G. Alan Wang, Pius J. Egbelu, Fei Tao, Kun Li, Ayman M. Okeil, Feng Li and Chong Peng. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and International Journal of Production Economics.
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.