Chunjie Yang

1.5k total citations
84 papers, 1.0k citations indexed

About

Chunjie Yang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Chunjie Yang has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 34 papers in Mechanical Engineering and 17 papers in Molecular Biology. Recurrent topics in Chunjie Yang's work include Fault Detection and Control Systems (36 papers), Mineral Processing and Grinding (29 papers) and Iron and Steelmaking Processes (20 papers). Chunjie Yang is often cited by papers focused on Fault Detection and Control Systems (36 papers), Mineral Processing and Grinding (29 papers) and Iron and Steelmaking Processes (20 papers). Chunjie Yang collaborates with scholars based in China, Canada and Japan. Chunjie Yang's co-authors include Ping Wu, Siwei Lou, Youxian Sun, Xinmin Zhang, Yan Feng, Zhe Zhou, Chenglin Wen, Hanwen Zhang, Yunzeng Zou and Jun Shang and has published in prestigious journals such as Nucleic Acids Research, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Chunjie Yang

76 papers receiving 1.0k citations

Peers

Chunjie Yang

CSE

CCM

Danmin Chen China

Ignacio Díaz Spain

Liansheng Liu China

Zhiwei Ji China

Xinxin Li China

Shumei Zhang China

Jin Yao China

Xiaoxiong Liu China

Matthew J. Ellis United States

Danmin Chen China

Chunjie Yang

390 ×1.0

CSE

219 ×0.7

120 ×0.5

155 ×1.1

20 ×0.2

CCM

Citations per year, relative to Chunjie Yang Chunjie Yang (= 1×) peers Danmin Chen

Countries citing papers authored by Chunjie Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chunjie Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunjie Yang

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

All Works

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20 of 20 papers shown

Wu, Ping, Ke Wang, Jinfeng Gao, et al.. (2025). FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling. Engineering Applications of Artificial Intelligence. 150. 110535–110535. 3 indexed citations

Lou, Siwei, et al.. (2025). Release Power of Mechanism and Data Fusion: A Hierarchical Strategy for Enhanced MIQ-Related Modeling and Fault Detection in BFIP. IEEE/CAA Journal of Automatica Sinica. 12(5). 894–912. 1 indexed citations

Mu, Junjin, et al.. (2025). Complex coupling representation in low-dimensional space for control-oriented energy-consuming industries modeling. Applied Energy. 383. 125263–125263.

Feng, Yan, et al.. (2024). A Survey of Data-Driven Soft Sensing in Ironmaking System: Research Status and Opportunities. ACS Omega. 9(24). 25539–25554. 5 indexed citations

Feng, Yan, et al.. (2024). Siamese Neural Network and Multimodal Data Fusion Approach for Small-Sample Learning in Industrial Soft Sensor Modeling. IEEE Sensors Journal. 24(20). 33763–33777. 1 indexed citations

Feng, Yan, et al.. (2024). Knowledge and Data Dual-Driven Graph Neural Network for Tumbler Strength Prediction in Sintering Process. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 3 indexed citations

Yang, Chunjie, et al.. (2024). Facilitating Ferrous Oxide Prediction: Enabling Sintering Forecasting With Orthogonal Basis-Based Implicit Subspace Identification. IEEE Transactions on Industrial Informatics. 21(1). 96–106. 3 indexed citations

Yang, Chunjie, et al.. (2024). Knowledge-Based Temporal GCN: A Spatial–Temporal Fault Diagnosis Method for Blast Furnace Ironmaking Process With Imbalanced Data. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 2 indexed citations

Yang, Chunjie, et al.. (2024). A Reinforcement Learning-Based Multistep Prediction Strategy for Burn-Through Point Using State Feature Extractor. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.

10.

Lv, T., et al.. (2024). Multihead-Res-SE Residual Network with Attention for Human Activity Recognition. Electronics. 13(17). 3407–3407. 1 indexed citations

11.

Feng, Yan, Chunjie Yang, Xinmin Zhang, Chong Yang, & Zhiyong Ruan. (2024). BTPNet: A Probabilistic Spatial-Temporal Aware Network for Burn-Through Point Multistep Prediction in Sintering Process. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9032–9043. 5 indexed citations

12.

Yang, Chunjie, et al.. (2024). Igniting Advancements in Iron-Making Process Monitoring: Exploring a Novel and Cutting-Edge Joint Sparse-Constrained Data-Dependent Kernel CVA Method. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 4 indexed citations

13.

Feng, Yan, Xinmin Zhang, & Chunjie Yang. (2024). A Graph-Based Time-Frequency Two-Stream Network for Multistep Prediction of Key Performance Indicators in Industrial Processes. IEEE Transactions on Cybernetics. 54(11). 6867–6880. 3 indexed citations

14.

Lou, Siwei, et al.. (2023). Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process. Information Sciences. 642. 119176–119176. 11 indexed citations

15.

Lou, Siwei, Ping Wu, Chunjie Yang, & Yonghong Jade Xu. (2023). Structured fault information-aided canonical variate analysis model for dynamic process monitoring. Journal of Process Control. 124. 54–69. 13 indexed citations

16.

Yang, Chunjie, et al.. (2023). An End-to-End Multisource Information Fusion Framework for f-CaO Content Soft Sensing in Cement Clinker Burning Process. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 8 indexed citations

17.

Gao, Pan, Xueli Jiang, Guoping Zhang, et al.. (2022). Cannabinoid Receptor 2-Centric Molecular Feedback Loop Drives Necroptosis in Diabetic Heart Injuries. Circulation. 147(2). 158–174. 34 indexed citations

18.

Yang, Chunjie, Weimin Wang, Ke-Cheng Zhu, et al.. (2019). Lithium chloride with immunomodulatory function for regulating titanium nanoparticle-stimulated inflammatory response and accelerating osteogenesis through suppression of MAPK signaling pathway. SHILAP Revista de lepidopterología.

19.

Jiang, Guoliang, Hui Gong, Yuhong Niu, et al.. (2015). Identification of Amino Acid Residues in Angiotensin II Type 1 Receptor Sensing Mechanical Stretch and Function in Cardiomyocyte Hypertrophy. Cellular Physiology and Biochemistry. 37(1). 105–116. 19 indexed citations

20.

Ma, Hong, Hui Gong, Zhidan Chen, et al.. (2012). Association of Stat3 with HSF1 plays a critical role in G-CSF-induced cardio-protection against ischemia/reperfusion injury. Journal of Molecular and Cellular Cardiology. 52(6). 1282–1290. 46 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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