Liang Chen
- Control and Systems Engineering top 0.5%
- Mechanical Engineering top 2%
- Mechanics of Materials top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Co-authors
- Changqing ShenXiaojie GuoQi LiZhongkui ZhuDong WangMin XiaJun ZhuTie‐Qiao Tang
- Topics
- Machine Fault Diagnosis Techniques (27 papers)Gear and Bearing Dynamics Analysis (14 papers)Fault Detection and Control Systems (11 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Liang Chen
116 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Control and Systems Engineering 1.5k
- Mechanical Engineering 788
- Mechanics of Materials 437
- Artificial Intelligence 426
- Electrical and Electronic Engineering 191
Countries citing papers authored by Liang Chen
This map shows the geographic impact of Liang Chen'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 Liang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Chen more than expected).
Fields of papers citing papers by Liang Chen
This network shows the impact of papers produced by Liang Chen. 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 Liang Chen. The network helps show where Liang Chen may publish in the future.
Co-authorship network of co-authors of Liang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Chen. A scholar is included among the top collaborators of Liang Chen 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 Liang Chen. Liang Chen 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 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 52 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 45 | |
| 18 | AZALEA: A KE-Free ICALL (intelligent computer assisted language learning) System for Japanese-English Translation. | 1 |
| 19 | Probabilistic Information Retrieval Method Based on Differential Latent Semantic Index Space | 4 |
| 20 | 12 |
About Liang Chen
Liang Chen is a scholar working on Control and Systems Engineering, Artificial Intelligence and Signal Processing, having authored 130 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (27 papers), Gear and Bearing Dynamics Analysis (14 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Mechanical Engineering (788 citations) and Mechanics of Materials (437 citations). Liang Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changqing Shen, Xiaojie Guo, Qi Li, Zhongkui Zhu, Dong Wang, Min Xia, Jun Zhu, Tie‐Qiao Tang, Xiaofeng Luo and Jian Zhang. Their work appears in journals such as Scientific Reports, Chemical Engineering Journal and Expert Systems with Applications.
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.