Ming Liu
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Topics
- Mobile Ad Hoc Networks (34 papers)Energy Efficient Wireless Sensor Networks (25 papers)Opportunistic and Delay-Tolerant Networks (23 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Liu
149 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Networks and Communications 843
- Artificial Intelligence 716
- Electrical and Electronic Engineering 694
- Computer Vision and Pattern Recognition 413
- Signal Processing 314
Countries citing papers authored by Ming Liu
This map shows the geographic impact of Ming Liu'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 Ming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Liu more than expected).
Fields of papers citing papers by Ming Liu
This network shows the impact of papers produced by Ming Liu. 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 Ming Liu. The network helps show where Ming Liu may publish in the future.
Co-authorship network of co-authors of Ming Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Liu. A scholar is included among the top collaborators of Ming Liu 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 Ming Liu. Ming Liu 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 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 18 | |
| 15 | Computationally Efficient Robust Algorithm for Generalized Sensor Calibration Problem AR = RB | 6 |
| 16 | Quantification of Reliability for Concrete Elements with Demand-Capacity Ratios Greater than One | 0 |
| 17 | Approximating Fair Queueing on Reconfigurable Switches | 56 |
| 18 | 3 | |
| 19 | 33 | |
| 20 | Improving Name Origin Recognition with Context Features and Unlabelled Data | 2 |
About Ming Liu
Ming Liu is a scholar working on Computer Networks and Communications, Transportation and Computer Vision and Pattern Recognition, having authored 168 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (34 papers), Energy Efficient Wireless Sensor Networks (25 papers) and Opportunistic and Delay-Tolerant Networks (23 papers). The work is most often cited by research in Computer Networks and Communications (843 citations), Signal Processing (314 citations) and Hardware and Architecture (184 citations). Ming Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanqing Liu, Shujie Liu, Sheng Zhao, Nianbo Liu, Guihai Chen, Haigang Gong, Jiannong Cao, Jinqi Zhu, Xiaokang Zhang and Man-On Pun. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and IEEE Transactions on Geoscience and Remote Sensing.
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.