Qing Ni
- Control and Systems Engineering top 0.2%
- Mechanical Engineering top 0.5%
- Mechanics of Materials top 1%
- Artificial Intelligence top 5%
- Civil and Structural Engineering top 5%
- Topics
- Machine Fault Diagnosis Techniques (54 papers)Gear and Bearing Dynamics Analysis (38 papers)Fault Detection and Control Systems (18 papers)
In The Last Decade
Qing Ni
71 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Control and Systems Engineering 2.5k
- Mechanical Engineering 1.9k
- Mechanics of Materials 906
- Artificial Intelligence 375
- Civil and Structural Engineering 316
Countries citing papers authored by Qing Ni
This map shows the geographic impact of Qing Ni'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 Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Ni more than expected).
Fields of papers citing papers by Qing Ni
This network shows the impact of papers produced by Qing Ni. 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 Ni. The network helps show where Qing Ni may publish in the future.
Co-authorship network of co-authors of Qing Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ni. A scholar is included among the top collaborators of Qing Ni 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 Ni. Qing Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | A digital twin methodology for vibration-based monitoring and prediction of gear wearbreakdown → | 35 |
| 3 | 21 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearingbreakdown → | 236 |
| 8 | Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unitbreakdown → | 104 |
| 9 | 23 | |
| 10 | A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing systembreakdown → | 111 |
| 11 | 42 | |
| 12 | 16 | |
| 13 | CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinerybreakdown → | 136 |
| 14 | 42 | |
| 15 | Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnosticsbreakdown → | 230 |
| 16 | 9 | |
| 17 | 62 | |
| 18 | A Clinical Observation on Qiyao Xiaoke Capsule Combined with Western Medicine for 146 Cases of Diabetic Nephropathy | 2 |
| 19 | Clinical observation of Qiyao Xiaoke Capsule treating early diabetic nephropathy with multi-center, randomized, double-blind and placebo control groups | 1 |
| 20 | Therapeutic effect of acupuncture on diabetic peripheral neuropathy | 1 |
About Qing Ni
Qing Ni is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials, having authored 72 papers that have together received 3.6k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (54 papers), Gear and Bearing Dynamics Analysis (38 papers) and Fault Detection and Control Systems (18 papers). The work is most often cited by research in Control and Systems Engineering (2.5k citations), Mechanical Engineering (1.9k citations) and Mechanics of Materials (906 citations). Qing Ni has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Ke Feng, Jinchen Ji, Michael Beer, Yongchao Zhang, Zheng Liu, Benjamin Halkon, Kesheng Wang, Yadong Xu, Jinde Zheng and Haiyang Pan. Their work appears in journals such as IEEE Access, Frontiers in Immunology and Journal of Sound and Vibration.
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.