Dalian Yang

453 citations

13 papers · 360 indexed · h-index 9

Impact in

Control and Systems Engineering top 5%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Mechanical Engineering top 10%
- Gear and Bearing Dynamics Analysis
- Advanced machining processes and optimization

Papers in ⓘ

Control and Systems Engineering 10
- Machine Fault Diagnosis Techniques 8
- Fault Detection and Control Systems 4
Mechanical Engineering 9
- Gear and Bearing Dynamics Analysis 7
- Advanced machining processes and optimization 4
- Advanced Measurement and Metrology Techniques 1

Co-authors: Yilun Liu (4 shared papers)Jie Tao (3 shared papers)Xuejun Li (2 shared papers)Lingli Jiang (1 shared paper)Liman Chen (1 shared paper)Kuanfang He (1 shared paper)Jie Tao (2 shared papers)Wei Sun (1 shared paper)
Journals: Shock and Vibration (4 papers)Measurement (1 paper)Engineering Computations (1 paper)Measurement Science and Technology (1 paper)Advances in Production Engineering & Management (1 paper)
Partner nations: China

In The Last Decade

Dalian Yang

13 papers receiving 340 citations

Peers

Countries citing papers authored by Dalian Yang

Since Specialization

Citations

This map shows the geographic impact of Dalian Yang'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 Dalian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalian Yang more than expected).

Fields of papers citing papers by Dalian Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dalian Yang. 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 Dalian Yang. The network helps show where Dalian Yang may publish in the future.

Co-authors

The 20 scholars most cited alongside Dalian Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dalian Yang Line = papers co-authored together Dalian Yang links everyone, so they are left out of the graph.

All Works

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13 of 13 papers shown

#	Work
1	Gear fault diagnosis based on support vector machine optimized by artificial bee colony algorithm Mechanism and Machine Theory ·Dalian Yang, Yilun Liu, Songbai Li, Xuejun Li, Liyong Ma	2015	118
2	Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion Shock and Vibration ·Jie Tao, Yilun Liu, Dalian Yang	2016	103
3	Mechanical fault diagnosis based on deep transfer learning: a review Measurement Science and Technology ·Dalian Yang, Wen-Bin Zhang, Yong-Zheng Jiang	2023	50
4	CEEMDAN‐Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral‐Bevel Gears Shock and Vibration ·Lingli Jiang, Tan Hongchuang, Xuejun Li, Liman Chen, Dalian Yang	2019	20
5	Fault Diagnosis of Rolling Bearing using Deep Belief Networks Jie Tao, Yilun Liu, Dalian Yang, Fang Tang, Chi Liu	2015	15
6	Influence of Load Weight on Dynamic Response of Vibrating Screen Shock and Vibration ·Yong-Zheng Jiang, Kuanfang He, Yongle Dong, Dalian Yang, Wei Sun	2019	13
7	Fatigue crack growth prediction of 7075 aluminum alloy based on the GMSVR model optimized by the artificial bee colony algorithm Engineering Computations ·Dalian Yang, Yilun Liu, Songbai Li, Jie Tao, Chi Liu, Jiuhuo Yi	2017	11
8	Health condition monitoring and diagnosis of rotating machinery based on Manhattan entropy Measurement ·Hongchuang Tan, Suchao Xie, Dalian Yang, Jiaqi Cheng, Ziqiang Zhou	2024	8
9	Bearing Fault Diagnosis Using a Support Vector Machine Optimized by an Improved Ant Lion Optimizer Shock and Vibration ·Dalian Yang, Jingjing Miao, Fanyu Zhang, Jie Tao, Guangbin Wang, Yiping Shen	2019	8
10	A Rolling Bearing Fault Diagnosis Method Based on Enhanced Integrated Filter Network Machines ·Kang Wu, Jie Tao, Dalian Yang, Xie Hu, Zhiying Li	2022	7
11	Optimization of machining performance in deep hole boring: A study on cutting tool vibration and dynamic vibration absorber design Advances in Production Engineering & Management ·Li Li, Dalian Yang, Yanmei Cui	2023	4
12	Bearing Fault Diagnosis Based on Multi-Sensor Information Fusion with SVM Applied Mechanics and Materials ·Xue Jun Li, Dalian Yang, Ling Jiang	2010	2
13	Support Vector Machine Optimization Based on Bacterial Foraging Algorithm and Applied in Fault Diagnosis Advanced materials research ·Dalian Yang, Xue Jun Li, K. Wang, Ling Jiang	2011	1

About Dalian Yang

Dalian Yang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 13 papers that have together received 360 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (8 papers), Gear and Bearing Dynamics Analysis (7 papers), Advanced machining processes and optimization (4 papers), Fault Detection and Control Systems (4 papers), Engineering Diagnostics and Reliability (3 papers), Advanced Measurement and Detection Methods (2 papers), Fatigue and fracture mechanics (1 paper) and Advanced Measurement and Metrology Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (277 citations), Mechanical Engineering (185 citations), Mechanics of Materials (93 citations), Industrial and Manufacturing Engineering (22 citations) and Medical Laboratory Technology (3 citations). Dalian Yang has collaborated with scholars based in China. Frequent co-authors include Yilun Liu, Jie Tao, Xuejun Li, Lingli Jiang, Liman Chen, Kuanfang He, Jie Tao, Wei Sun, Fang Tang and Chi Liu. Their work appears in journals such as Shock and Vibration, Measurement, Engineering Computations, Measurement Science and Technology and Advances in Production Engineering & Management.

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.

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