Guiji Tang
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Mechanics of Materials top 10%
- Electronic, Optical and Magnetic Materials
- Topics
- Machine Fault Diagnosis Techniques (35 papers)Gear and Bearing Dynamics Analysis (18 papers)Electric Motor Design and Analysis (11 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Guiji Tang
57 papers receiving 545 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 467
- Mechanical Engineering 280
- Electrical and Electronic Engineering 157
- Mechanics of Materials 112
- Electronic, Optical and Magnetic Materials 82
Countries citing papers authored by Guiji Tang
This map shows the geographic impact of Guiji Tang'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 Guiji Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guiji Tang more than expected).
Fields of papers citing papers by Guiji Tang
This network shows the impact of papers produced by Guiji Tang. 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 Guiji Tang. The network helps show where Guiji Tang may publish in the future.
Co-authorship network of co-authors of Guiji Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Guiji Tang. A scholar is included among the top collaborators of Guiji Tang 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 Guiji Tang. Guiji Tang 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 | 4 | |
| 3 | 3 | |
| 4 | 28 | |
| 5 | 13 | |
| 6 | 16 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 26 | |
| 10 | 26 | |
| 11 | 16 | |
| 12 | 14 | |
| 13 | A new identification method for fractal scaling region of a vibration signal | 5 |
| 14 | Rolling Bearing Fault Feature Extraction Method Based on Ensemble Empirical Mode Decomposition and Kurtosis Criterion | 21 |
| 15 | 2 | |
| 16 | Design and analysis of morphological filter for vibration signals of a rotating machinery | 2 |
| 17 | Fault analysis on rotor-to-stator rub-impact for rotary machinery using smooth support vector regression | 0 |
| 18 | New Process Method for End Effects of HILBERT-HUANG Transform | 2 |
| 19 | Application of Hilbert-Huang Transform Method in Vibration Faults Diagnosis for Rotor System | 3 |
| 20 | 3D-temperature field prediction by FEM and temperature-rise test for dry-typereactor | 4 |
About Guiji Tang
Guiji Tang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials, having authored 60 papers that have together received 567 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (35 papers), Gear and Bearing Dynamics Analysis (18 papers) and Electric Motor Design and Analysis (11 papers). The work is most often cited by research in Control and Systems Engineering (467 citations), Mechanical Engineering (280 citations) and Mechanics of Materials (112 citations). Guiji Tang has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Yuling He, Xiaolong Wang, Shuting Wan, Yonggang Li, Ling Xiang, Shaopu Yang, Rujiang Hao, Bin Pang, Xiong Zhang and Heming Li. Their work appears in journals such as IEEE Access, Energies and IEEE Transactions on Instrumentation and Measurement.
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.