Ying Yang

3.2k total citations
127 papers, 1.8k citations indexed

About

Ying Yang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ying Yang has authored 127 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Control and Systems Engineering, 29 papers in Artificial Intelligence and 28 papers in Mechanical Engineering. Recurrent topics in Ying Yang's work include Fault Detection and Control Systems (26 papers), Mineral Processing and Grinding (18 papers) and Spectroscopy and Chemometric Analyses (14 papers). Ying Yang is often cited by papers focused on Fault Detection and Control Systems (26 papers), Mineral Processing and Grinding (18 papers) and Spectroscopy and Chemometric Analyses (14 papers). Ying Yang collaborates with scholars based in China, United States and Australia. Ying Yang's co-authors include Geoffrey I. Webb, Xingquan Zhu, Xindong Wu, Xiaozhi Liu, Sattar Hashemi, Rajesh Rajaiah, Kamal D. Moudgil, Ning Lu, Furong Gao and Fan Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Ying Yang

114 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Yang China 24 637 310 210 160 154 127 1.8k
Mansoor Zolghadri Jahromi Iran 19 734 1.2× 352 1.1× 126 0.6× 80 0.5× 193 1.3× 80 1.6k
Mohammad-R. Akbarzadeh-T Iran 27 1.0k 1.6× 585 1.9× 102 0.5× 120 0.8× 256 1.7× 201 2.5k
Asha Rani India 24 789 1.2× 496 1.6× 130 0.6× 85 0.5× 156 1.0× 98 2.6k
A. Prieto Spain 26 1.2k 1.9× 354 1.1× 140 0.7× 85 0.5× 329 2.1× 160 2.5k
Vijander Singh India 23 760 1.2× 565 1.8× 122 0.6× 111 0.7× 159 1.0× 83 2.6k
Osama Ahmad Alomari Jordan 25 825 1.3× 139 0.4× 218 1.0× 57 0.4× 204 1.3× 55 1.7k
Muhammad Awais Pakistan 24 311 0.5× 131 0.4× 232 1.1× 106 0.7× 278 1.8× 112 1.9k
Sharif Naser Makhadmeh Jordan 26 757 1.2× 319 1.0× 93 0.4× 74 0.5× 215 1.4× 88 1.8k
Mineichi Kudo Japan 18 734 1.2× 121 0.4× 146 0.7× 48 0.3× 109 0.7× 111 1.7k
Xiaowei Yang China 22 692 1.1× 217 0.7× 105 0.5× 70 0.4× 48 0.3× 79 1.5k

Countries citing papers authored by Ying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yang

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

All Works

20 of 20 papers shown
1.
Lin, Guangfeng, et al.. (2025). High-Order Structure-Preserving Graph Neural Network for Few-Shot Learning. IEEE Internet of Things Journal. 12(11). 17987–18003.
2.
Zhou, Tianhua, et al.. (2025). Unified machine-learning-based design method for cold-formed steel multi-limbs built-up open section columns. Structures. 73. 108398–108398. 1 indexed citations
3.
Yang, Ying, Menglin Zhang, & Xiaozhi Liu. (2024). Remaining Useful Life Prediction for Aero-Engine based on Ghost-LSTM Model. 189–194. 1 indexed citations
4.
Li, Hongru, et al.. (2024). Time-lagged relation graph neural network for multivariate time series forecasting. Engineering Applications of Artificial Intelligence. 139. 109530–109530. 1 indexed citations
5.
Qiu, Yi, Ying Yang, Toshihiro Akihisa, et al.. (2023). Isolation, structural and bioactivities of polysaccharides from Anoectochilus roxburghii (Wall.) Lindl.: A review. International Journal of Biological Macromolecules. 236. 123883–123883. 17 indexed citations
7.
Wu, Fuping, et al.. (2017). Potential risk factor of Graves' orbitopathy among Chinese patients: A clinical investigation. Biomedical Research-tokyo. 28(5). 2296–2300. 2 indexed citations
8.
Liu, Xiaozhi, et al.. (2014). Blind Multiuser Detection Based on Complex FastICA Algorithm. Journal of Northeastern University. 35(9). 1253. 1 indexed citations
9.
Lei, T. T., et al.. (2013). One novel control strategy of the AC / DC bi-directional power converter in micro-grid. RMIT Research Repository (RMIT University Library). 41(14). 13–18. 15 indexed citations
10.
Yang, Ying, et al.. (2011). Mode Calculation and Testing of a Car Body in White. SHILAP Revista de lepidopterología. 3 indexed citations
11.
Yu, Hua, Ying Yang, Rajesh Rajaiah, & Kamal D. Moudgil. (2011). Nicotine‐induced differential modulation of autoimmune arthritis in the Lewis rat involves changes in interleukin‐17 and anti–cyclic citrullinated peptide antibodies. Arthritis & Rheumatism. 63(4). 981–991. 64 indexed citations
12.
Yang, Ying, Rajesh Rajaiah, David Y.W. Lee, et al.. (2010). Suppression of Ongoing Experimental Arthritis by a Chinese Herbal Formula (Huo‐Luo‐Xiao‐Ling Dan) Involves Changes in Antigen‐Induced Immunological and Biochemical Mediators of Inflammation. Evidence-based Complementary and Alternative Medicine. 2011(1). 642027–642027. 26 indexed citations
13.
Yang, Ying, et al.. (2009). Development of Japanese Persimmon Core Collection by Genetic Distance Sampling Based on SSR Markers. Biotechnology & Biotechnological Equipment. 23(4). 1474–1478. 16 indexed citations
14.
Sakkalis, Vangelis, et al.. (2009). Assessment of Linear and Nonlinear Synchronization Measures for Analyzing EEG in a Mild Epileptic Paradigm. IEEE Transactions on Information Technology in Biomedicine. 13(4). 433–441. 55 indexed citations
15.
Yang, Ying, Xindong Wu, & Xingquan Zhu. (2006). Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. Data Mining and Knowledge Discovery. 13(3). 261–289. 56 indexed citations
17.
Zhu, Xingquan, Xindong Wu, & Ying Yang. (2004). Error detection and impact-sensitive instance ranking in noisy datasets. National Conference on Artificial Intelligence. 378–383. 43 indexed citations
18.
Yang, Ying & Geoffrey I. Webb. (2002). A comparative study of discretization methods for naive-Bayes classifiers. 159–173. 99 indexed citations
19.
Yang, Ying & Geoffrey I. Webb. (2002). Non-Disjoint Discretization for Naive-Bayes Classifiers. Deakin Research Online (Deakin University). 666–673. 11 indexed citations
20.
Hu, Yan, et al.. (1999). Selected factors influencing self‐concept among hospitalized Chinese school‐age children with a chronic illness. International Journal of Nursing Practice. 5(1). 38–46. 7 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.

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