Qingchao Jiang

4.3k total citations · 2 hit papers
114 papers, 3.4k citations indexed

About

Qingchao Jiang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Qingchao Jiang has authored 114 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Control and Systems Engineering, 72 papers in Mechanical Engineering and 36 papers in Analytical Chemistry. Recurrent topics in Qingchao Jiang's work include Fault Detection and Control Systems (99 papers), Mineral Processing and Grinding (72 papers) and Spectroscopy and Chemometric Analyses (36 papers). Qingchao Jiang is often cited by papers focused on Fault Detection and Control Systems (99 papers), Mineral Processing and Grinding (72 papers) and Spectroscopy and Chemometric Analyses (36 papers). Qingchao Jiang collaborates with scholars based in China, Canada and Hong Kong. Qingchao Jiang's co-authors include Xuefeng Yan, Biao Huang, Bei Wang, Furong Gao, Shifu Yan, Hui Yi, Zhaomin Lv, Steven X. Ding, Weixiang Zhao and Hui Cheng and has published in prestigious journals such as Nature Communications, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Qingchao Jiang

102 papers receiving 3.4k citations

Hit Papers

Performance-Driven Distributed PCA Process Monitoring Bas... 2015 2026 2018 2022 2015 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference
    2015 299 citations Qingchao Jiang, Xuefeng Yan et al. profile →
  2. Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes
    2019 235 citations Qingchao Jiang, Xuefeng Yan et al. profile →

Peers

Qingchao Jiang
Jong‐Min Lee South Korea
Yingwei Zhang China
Dexian Huang China
Ningyun Lu China
James J. Downs United States
Kewen Yin United States
Evan L. Russell United States
Haiyang Hao China
Guang Wang China
Mohamed Faouzi Harkat Algeria
Jong‐Min Lee South Korea
Qingchao Jiang
Citations per year, relative to Qingchao Jiang Qingchao Jiang (= 1×) peers Jong‐Min Lee

Countries citing papers authored by Qingchao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Qingchao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingchao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingchao Jiang. A scholar is included among the top collaborators of Qingchao Jiang 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 Qingchao Jiang. Qingchao Jiang 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.
Tan, Shuai, et al.. (2025). UDA-ROT: A cross-domain fault diagnosis method for large-scale systems. Control Engineering Practice. 157. 106268–106268. 1 indexed citations
2.
Jiang, Qingchao, et al.. (2025). Deep Semantic Canonical Correlation Embedding for Zero-Shot Industrial Process Fault Diagnosis. IEEE Transactions on Systems Man and Cybernetics Systems. 55(7). 4458–4471. 1 indexed citations
3.
Jiang, Qingchao, et al.. (2025). Fault diagnosis of batch processes for small samples based on contrastive learning. The Canadian Journal of Chemical Engineering. 103(9). 4360–4373. 1 indexed citations
4.
Jiang, Qingchao, et al.. (2025). One-Class Classification Constraint in Reconstruction Networks for Multivariate Time Series Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations
5.
Jiang, Qingchao, et al.. (2025). SmdaNet: A hierarchical hard sample mining and domain adaptation neural network for fault diagnosis in industrial process. Chinese Journal of Chemical Engineering. 84. 146–157.
6.
Wang, Rui, Jingyi Lu, Wei Du, Qingchao Jiang, & Zhixing Cao. (2024). An efficient 3D cutting scheme for detecting defects on products of complex geometry. Measurement. 244. 116425–116425. 1 indexed citations
7.
Jiang, Qingchao, et al.. (2024). Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations. Advanced Engineering Informatics. 62. 102837–102837. 8 indexed citations
8.
Wang, Xueting, et al.. (2024). A data enhancement method based on generative adversarial network for small sample-size with soft sensor application. Computers & Chemical Engineering. 186. 108707–108707. 6 indexed citations
9.
Wang, Yang, et al.. (2024). Distributed monitoring of nonlinear plant-wide processes based on GA-regularized kernel canonical correlation analysis. Reliability Engineering & System Safety. 252. 110421–110421. 8 indexed citations
10.
Fan, Qinqin, et al.. (2024). Solving dynamic multi-objective optimization problem of immersed tunnel elements via multi-source evolutionary information clustering method. Engineering Applications of Artificial Intelligence. 140. 109741–109741. 4 indexed citations
11.
Jiang, Qingchao, et al.. (2024). OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management. Knowledge-Based Systems. 286. 111403–111403. 2 indexed citations
12.
Ding, Weichao, et al.. (2024). Deep discriminative feature learning based on classification-enhanced neural networks for visual process monitoring. Journal of the Taiwan Institute of Chemical Engineers. 156. 105384–105384. 5 indexed citations
13.
Yu, Jun, et al.. (2024). An Unmanned System-Guided Crowd Evacuation Method in Complex and Large-Scale Evacuation Environments. IEEE Transactions on Automation Science and Engineering. 22. 1864–1877. 2 indexed citations
14.
Jiang, Qingchao, et al.. (2024). Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application. Knowledge-Based Systems. 301. 112341–112341. 6 indexed citations
15.
Fan, Qinqin, Min Jiang, Wentao Huang, & Qingchao Jiang. (2023). Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation. CAAI Transactions on Intelligence Technology. 10 indexed citations
16.
Sun, Yifei, Xuefeng Yan, Qingchao Jiang, et al.. (2023). Multiple feature fusion transformer for modeling penicillin fermentation process with unequal sampling intervals. Bioprocess and Biosystems Engineering. 46(11). 1677–1693. 1 indexed citations
17.
Jiang, Qingchao, et al.. (2023). Neural networks-based hybrid beneficial variable selection and modeling for soft sensing. Control Engineering Practice. 139. 105613–105613. 8 indexed citations
18.
19.
Jiang, Qingchao, et al.. (2020). Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application. IEEE Transactions on Industrial Informatics. 17(9). 5867–5875. 128 indexed citations
20.
Lv, Zhaomin, Xuefeng Yan, & Qingchao Jiang. (2016). Batch process monitoring based on multiple-phase online sorting principal component analysis. ISA Transactions. 64. 342–352. 24 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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