Qing Gao
- Mechanical Engineering top 5%
- Mechanics of Materials top 2%
- Materials Chemistry
- Molecular Biology
- Cognitive Neuroscience
- Topics
- Microstructure and Mechanical Properties of Steels (12 papers)Fatigue and fracture mechanics (12 papers)Neural dynamics and brain function (11 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qing Gao
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Mechanical Engineering 661
- Mechanics of Materials 586
- Materials Chemistry 202
- Molecular Biology 81
- Cognitive Neuroscience 77
Countries citing papers authored by Qing Gao
This map shows the geographic impact of Qing 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 Qing Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Gao more than expected).
Fields of papers citing papers by Qing Gao
This network shows the impact of papers produced by Qing 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 Qing Gao. The network helps show where Qing Gao may publish in the future.
Co-authorship network of co-authors of Qing Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Gao. A scholar is included among the top collaborators of Qing 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 Qing Gao. Qing 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 24 | |
| 15 | Improving nitrogen removal of constructed wetlands by supplying plant carbon | 2 |
| 16 | Experimental study on uniaxial and multiaxial strain cyclic characteristics and ratcheting of 316L stainless steel | 30 |
| 17 | Experimental Study on Non-proportional Multiaxial Strain Cyclic Characteristics and Ratcheting of U71Mn Rail Steel | 1 |
| 18 | Influence of Mean Stress on Fatigue Strength of 50 Steel in Super High Cycle Regime | 0 |
| 19 | Equation of Short Fatigue Crack Growth Law of 1Cr18Ni9Ti Weld Metal | 1 |
| 20 | Influence of Notch Stress-concentration on the Ultra-high-cycle Fatigue Behaviors of 40Cr Steel | 1 |
About Qing Gao
Qing Gao is a scholar working on Mechanics of Materials, Cognitive Neuroscience and Mechanical Engineering, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (12 papers), Fatigue and fracture mechanics (12 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Mechanics of Materials (586 citations), Mechanical Engineering (661 citations) and Statistics, Probability and Uncertainty (42 citations). Qing Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guozheng Kang, Xianjie Yang, Yujie Liu, Jun Ding, Lixun Cai, Yafang Sun, Youguo Li, Xian Liu, Xian Liu and Yinggan Tang. Their work appears in journals such as Cell, Cell Metabolism and Scientific Reports.
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.