T. Warren Liao
- Artificial Intelligence top 0.5%
- Mechanical Engineering top 1%
- Industrial and Manufacturing Engineering top 0.2%
- Signal Processing top 0.5%
- Electrical and Electronic Engineering top 5%
- Topics
- Advanced machining processes and optimization (23 papers)Welding Techniques and Residual Stresses (23 papers)Advanced Manufacturing and Logistics Optimization (19 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
- Artificial Intelligence 1.6k
- Mechanical Engineering 1.6k
- Industrial and Manufacturing Engineering 1.4k
- Signal Processing 1.1k
- Electrical and Electronic Engineering 653
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 of co-authors of T. Warren Liao
This figure shows the co-authorship network connecting the top 25 collaborators of T. Warren Liao. A scholar is included among the top collaborators of T. Warren Liao 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 T. Warren Liao. T. Warren Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 69 | |
| 8 | 61 | |
| 9 | 18 | |
| 10 | 96 | |
| 11 | 110 | |
| 12 | 5 | |
| 13 | Generation of Fuzzy Due-date Assignment Rules. | 3 |
| 14 | 9 | |
| 15 | 52 | |
| 16 | A Quick Defect Detection Algorithm for Magnetic Resonance Images of Hardwood Logs | 13 |
| 17 | 19 | |
| 18 | 76 | |
| 19 | 11 | |
| 20 | SETTING CHANGE INTERVALS AT SIGNALIZED INTERSECTIONS | 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) and Advanced Manufacturing and Logistics Optimization (19 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.