Liang Chen
- Control and Systems Engineering top 0.5%
- Machine Fault Diagnosis Techniques 27
- Fault Detection and Control Systems 11
- Mechanical Engineering top 2%
- Gear and Bearing Dynamics Analysis 14
- Non-Destructive Testing Techniques 9
- Mechanics of Materials top 2%
- Engineering Diagnostics and Reliability 9
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 11
-
- Robotics and Sensor-Based Localization 7
-
- Advanced Image and Video Retrieval Techniques 6
- Co-authors
- Changqing ShenXiaojie GuoQi LiZhongkui ZhuDong WangMin XiaJun ZhuTie‐Qiao Tang
- Journals
- Scientific Reports (1 paper)Chemical Engineering Journal (1 paper)Expert Systems with Applications (2 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
- Industrial and Manufacturing Engineering 115
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
The 25 scholars most cited alongside Liang Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2019 | 52 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2004 | 45 | |
| 18 | AZALEA: A KE-Free ICALL (intelligent computer assisted language learning) System for Japanese-English Translation. | 2001 | 1 |
| 19 | Probabilistic Information Retrieval Method Based on Differential Latent Semantic Index Space | 2001 | 4 |
| 20 | 1996 | 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), Fault Detection and Control Systems (11 papers), Anomaly Detection Techniques and Applications (11 papers), Engineering Diagnostics and Reliability (9 papers), Non-Destructive Testing Techniques (9 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Image and Video Retrieval Techniques (6 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.