Meng Liao
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Le SunHongyu LinXianpei HanJialong TangYaojie LuJin XuAnnan LiTong Xue
- Topics
- Topic Modeling (5 papers)Frequency Control in Power Systems (4 papers)Natural Language Processing Techniques (4 papers)
- Cited by
- Artificial IntelligenceEnergy Engineering and Power TechnologyManagement Science and Operations Research
- Journals
- Applied EnergyIEEE Transactions on Applied SuperconductivityEmpirical Methods in Natural Language Processing
- Partner nations
- ChinaSwitzerlandIndonesia
In The Last Decade
Meng Liao
13 papers receiving 256 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 190
- Electrical and Electronic Engineering 52
- Control and Systems Engineering 39
- Computer Vision and Pattern Recognition 33
- Information Systems 26
Countries citing papers authored by Meng Liao
This map shows the geographic impact of Meng 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 Meng Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Liao more than expected).
Fields of papers citing papers by Meng Liao
This network shows the impact of papers produced by Meng 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 Meng Liao. The network helps show where Meng Liao may publish in the future.
Co-authorship network of co-authors of Meng Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Meng Liao. A scholar is included among the top collaborators of Meng 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 Meng Liao. Meng 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 | 1 | |
| 2 | 9 | |
| 3 | 126 | |
| 4 | 44 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 37 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | A Mixed Deterministic Model for Coreference Resolution | 6 |
About Meng Liao
Meng Liao is a scholar working on Energy Engineering and Power Technology, Artificial Intelligence and Control and Systems Engineering, having authored 14 papers that have together received 261 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Frequency Control in Power Systems (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Energy Engineering and Power Technology (8 citations) and Management Science and Operations Research (22 citations). Meng Liao has collaborated with scholars based in China, Switzerland and Indonesia. Frequent co-authors include Le Sun, Hongyu Lin, Xianpei Han, Jialong Tang, Yaojie Lu, Jin Xu, Annan Li, Jin Xu, Tong Xue and Jing Shi. Their work appears in journals such as Applied Energy, IEEE Transactions on Applied Superconductivity and Empirical Methods in Natural Language Processing.
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.