Liang Gao
- Industrial and Manufacturing Engineering top 0.01%
- Control and Systems Engineering top 0.05%
- Artificial Intelligence top 0.05%
- Computational Theory and Mathematics top 0.02%
- Civil and Structural Engineering top 0.05%
- Topics
- Scheduling and Optimization Algorithms (281 papers)Advanced Manufacturing and Logistics Optimization (212 papers)Advanced Multi-Objective Optimization Algorithms (198 papers)
- Cited by
- Industrial and Manufacturing EngineeringStatistics, Probability and UncertaintyComputational Theory and Mathematics
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaIndiaUnited Kingdom
In The Last Decade
Liang Gao
969 papers receiving 33.5k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Industrial and Manufacturing Engineering 13.4k
- Control and Systems Engineering 6.4k
- Artificial Intelligence 6.3k
- Computational Theory and Mathematics 5.6k
- Civil and Structural Engineering 5.5k
Countries citing papers authored by Liang Gao
This map shows the geographic impact of Liang Gao'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 Liang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Gao more than expected).
Fields of papers citing papers by Liang Gao
This network shows the impact of papers produced by Liang Gao. 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 Liang Gao. The network helps show where Liang Gao may publish in the future.
Co-authorship network of co-authors of Liang Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Gao. A scholar is included among the top collaborators of Liang Gao 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 Liang Gao. Liang Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 22 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 22 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 29 | |
| 13 | 41 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 43 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 14 |
About Liang Gao
Liang Gao is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 1.0k papers that have together received 34.5k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (281 papers), Advanced Manufacturing and Logistics Optimization (212 papers) and Advanced Multi-Objective Optimization Algorithms (198 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (13.4k citations), Statistics, Probability and Uncertainty (2.8k citations) and Computational Theory and Mathematics (5.6k citations). Liang Gao has collaborated with scholars based in China, India and United Kingdom. Frequent co-authors include Xinyu Li, Long Wen, Mi Xiao, Quan-Ke Pan, Yuyan Zhang, Xinyu Shao, Haobo Qiu, Hao Li, Chao Lu and Akhil Garg. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.