Dalian Yang

453 total citations
13 papers, 360 citations indexed

About

Dalian Yang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Dalian Yang has authored 13 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Dalian Yang's work include Machine Fault Diagnosis Techniques (8 papers), Gear and Bearing Dynamics Analysis (7 papers) and Advanced machining processes and optimization (4 papers). Dalian Yang is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Gear and Bearing Dynamics Analysis (7 papers) and Advanced machining processes and optimization (4 papers). Dalian Yang collaborates with scholars based in China. Dalian Yang's co-authors include Yilun Liu, Jie Tao, Xuejun Li, Lingli Jiang, Liman Chen, Wei Sun, Fang Tang, Chi Liu, Jie Tao and Kuanfang He and has published in prestigious journals such as Measurement Science and Technology, Measurement and Mechanism and Machine Theory.

In The Last Decade

Dalian Yang

13 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dalian Yang China 9 277 185 93 44 33 13 360
Haizhou Huang China 7 239 0.9× 177 1.0× 78 0.8× 43 1.0× 23 0.7× 16 327
Fuzhou Feng China 6 316 1.1× 209 1.1× 105 1.1× 39 0.9× 35 1.1× 21 400
Pengcheng Jiang China 8 344 1.2× 209 1.1× 107 1.2× 41 0.9× 33 1.0× 26 460
Hongchun Sun China 12 196 0.7× 150 0.8× 90 1.0× 36 0.8× 32 1.0× 42 358
Zhen Shi China 10 305 1.1× 170 0.9× 103 1.1× 68 1.5× 25 0.8× 24 401
Zhiqiang Liao China 9 347 1.3× 220 1.2× 116 1.2× 36 0.8× 37 1.1× 25 403
Zhongjun Yin China 7 219 0.8× 189 1.0× 92 1.0× 24 0.5× 35 1.1× 12 328
Guoqiang Li China 8 367 1.3× 207 1.1× 137 1.5× 55 1.3× 33 1.0× 17 438
Qiuyang Zhou China 13 318 1.1× 222 1.2× 92 1.0× 42 1.0× 56 1.7× 24 399
Dongming Hou China 12 274 1.0× 215 1.2× 110 1.2× 28 0.6× 46 1.4× 19 398

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-authorship network of co-authors of Dalian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dalian Yang. A scholar is included among the top collaborators of Dalian Yang 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 Dalian Yang. Dalian Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Xie, Suchao, et al.. (2024). Health condition monitoring and diagnosis of rotating machinery based on Manhattan entropy. Measurement. 227. 114243–114243. 8 indexed citations
2.
Li, Li, Dalian Yang, & Yanmei Cui. (2023). Optimization of machining performance in deep hole boring: A study on cutting tool vibration and dynamic vibration absorber design. Advances in Production Engineering & Management. 18(3). 371–380. 4 indexed citations
3.
Yang, Dalian, et al.. (2023). Mechanical fault diagnosis based on deep transfer learning: a review. Measurement Science and Technology. 34(11). 112001–112001. 50 indexed citations
4.
Tao, Jie, et al.. (2022). A Rolling Bearing Fault Diagnosis Method Based on Enhanced Integrated Filter Network. Machines. 10(6). 481–481. 7 indexed citations
5.
He, Kuanfang, et al.. (2019). Influence of Load Weight on Dynamic Response of Vibrating Screen. Shock and Vibration. 2019(1). 13 indexed citations
6.
Jiang, Lingli, et al.. (2019). CEEMDAN‐Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral‐Bevel Gears. Shock and Vibration. 2019(1). 20 indexed citations
7.
Yang, Dalian, et al.. (2019). Bearing Fault Diagnosis Using a Support Vector Machine Optimized by an Improved Ant Lion Optimizer. Shock and Vibration. 2019(1). 8 indexed citations
8.
Yang, Dalian, et al.. (2017). Fatigue crack growth prediction of 7075 aluminum alloy based on the GMSVR model optimized by the artificial bee colony algorithm. Engineering Computations. 34(4). 1034–1053. 11 indexed citations
9.
Tao, Jie, Yilun Liu, & Dalian Yang. (2016). Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion. Shock and Vibration. 2016. 1–9. 103 indexed citations
10.
Yang, Dalian, et al.. (2015). Gear fault diagnosis based on support vector machine optimized by artificial bee colony algorithm. Mechanism and Machine Theory. 90. 219–229. 118 indexed citations
11.
Tao, Jie, Yilun Liu, Dalian Yang, Fang Tang, & Chi Liu. (2015). Fault Diagnosis of Rolling Bearing using Deep Belief Networks. 15 indexed citations
12.
Yang, Dalian, et al.. (2011). Support Vector Machine Optimization Based on Bacterial Foraging Algorithm and Applied in Fault Diagnosis. Advanced materials research. 216. 153–157. 1 indexed citations
13.
Li, Xue Jun, et al.. (2010). Bearing Fault Diagnosis Based on Multi-Sensor Information Fusion with SVM. Applied Mechanics and Materials. 34-35. 995–999. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026