Zhaohui Jiang

2.4k total citations
181 papers, 1.6k citations indexed

About

Zhaohui Jiang is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhaohui Jiang has authored 181 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Mechanical Engineering, 59 papers in Control and Systems Engineering and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhaohui Jiang's work include Iron and Steelmaking Processes (48 papers), Mineral Processing and Grinding (35 papers) and Metallurgical Processes and Thermodynamics (22 papers). Zhaohui Jiang is often cited by papers focused on Iron and Steelmaking Processes (48 papers), Mineral Processing and Grinding (35 papers) and Metallurgical Processes and Thermodynamics (22 papers). Zhaohui Jiang collaborates with scholars based in China, Japan and Canada. Zhaohui Jiang's co-authors include Weihua Gui, Dong Pan, Yongfang Xie, Zhipeng Chen, Chunhua Yang, Weihua Gui, Ke Jiang, Haoyang Yu, Véronique Daële and Yujing Mu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Transactions on Industrial Electronics.

In The Last Decade

Zhaohui Jiang

163 papers receiving 1.6k citations

Peers

Zhaohui Jiang

CSE

CVPR

Xiaoli Li China

Xiaoguang Hu China

Zhu Mao United States

Jingli Yang China

Paolo Sommella Italy

Zhiyu Zhu China

Peng Li China

Bin Liang China

Changan Zhu China

Ke Zhang China

Xiaoli Li China

Zhaohui Jiang

361 ×0.7

644 ×1.5

CSE

261 ×1.1

CVPR

118 ×0.6

77 ×0.5

Citations per year, relative to Zhaohui Jiang Zhaohui Jiang (= 1×) peers Xiaoli Li

Countries citing papers authored by Zhaohui Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Zhaohui Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaohui Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fang, Xinyue, et al.. (2025). Full-spectrum LIBS quantitative analysis based on heterogeneous ensemble learning model. Chemometrics and Intelligent Laboratory Systems. 257. 105321–105321. 1 indexed citations

Yu, Haoyang, et al.. (2025). Dual feed-forward neural network for predicting complex nonlinear dynamics of mode-locked fiber laser under variable cavity parameters. Chinese Optics Letters. 23(3). 31401–31401. 1 indexed citations

Gong, Jiamin, Dong Pan, Zhaohui Jiang, et al.. (2025). A Novel Moisture Measurement Method for the Sintering Mixture Based on Multivariate Feature Fusion. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.

Jiang, Zhaohui, Dong Pan, Zhiwen Chen, et al.. (2025). A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 15664–15684. 1 indexed citations

Pan, Dong, Ting‐Shan Mo, Zhaohui Jiang, et al.. (2025). Interference Factors and Compensation Methods When Using Infrared Thermography for Temperature Measurement: A Review. IEEE Transactions on Instrumentation and Measurement. 74. 1–24. 3 indexed citations

Xu, Siyuan, et al.. (2025). Abnormal Condition Recognition of Blast Furnace Ironmaking Process Based on Time Series—Image Jointly Driven Deep Neural Network. IEEE Transactions on Industrial Informatics. 21(8). 6198–6209.

Yu, Haoyang, et al.. (2024). Multi-component quantitative analysis of LIBS using adaptively optimized multi-branch CNN. Optics & Laser Technology. 179. 111282–111282. 5 indexed citations

Jiang, Zhaohui, Chuan Xu, Ke Jiang, et al.. (2024). A novel 3D reconstruction method of blast furnace burden surface based on virtual camera array. Measurement. 240. 115558–115558.

Zhang, Xiangyang, Zhaohui Jiang, Jiayao Ma, et al.. (2024). Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases. Journal Of Big Data. 11(1).

10.

Feng, Ziyang, Jun Tan, Ping Liu, et al.. (2024). Immune infiltration related CENPI associates with the malignant features and drug resistance of lung adenocarcinoma. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(4). 167017–167017. 3 indexed citations

11.

Jiang, Zhaohui, et al.. (2024). Burden Surface Shape Modeling and Charging Matrix Optimization for the Blast Furnace Charging Process. IEEE Transactions on Industrial Informatics. 20(11). 12705–12716. 4 indexed citations

12.

Jiang, Zhaohui, et al.. (2024). Occlusion Segmentation: Restore and Segment Invisible Areas for Particle Objects. IEEE Transactions on Automation Science and Engineering. 22. 6631–6642. 1 indexed citations

13.

Jiang, Zhaohui, et al.. (2024). Multimodal image fusion based on diffusion model. 75–81.

14.

Gui, Weihua, et al.. (2023). Comprehensive working condition evaluation of the sintering process based on polymorphic indicators. Advanced Engineering Informatics. 58. 102220–102220. 6 indexed citations

15.

Feng, Ziyang, Zhaohui Jiang, Xin Zhou, et al.. (2023). RASGRP2 is a potential immune-related biomarker and regulates mitochondrial-dependent apoptosis in lung adenocarcinoma. Frontiers in Immunology. 14. 1100231–1100231. 13 indexed citations

16.

Jiang, Zhaohui, Xin Zhou, Yin Li, et al.. (2023). A Multi-Omics Analysis of NASH-Related Prognostic Biomarkers Associated with Drug Sensitivity and Immune Infiltration in Hepatocellular Carcinoma. Journal of Clinical Medicine. 12(4). 1286–1286. 8 indexed citations

17.

Jiang, Zhaohui, et al.. (2022). A Coke Detection Method Based on Reweighting a Composite Feature for Mixed Material Recognition and Quantification. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 2 indexed citations

18.

Jiang, Zhaohui, et al.. (2022). Effects of inflammation on voriconazole levels: A systematic review. British Journal of Clinical Pharmacology. 88(12). 5166–5182. 13 indexed citations

19.

Xie, Shiwen, Yongfang Xie, Fanbiao Li, Zhaohui Jiang, & Weihua Gui. (2019). Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics. Neurocomputing. 366. 170–177. 19 indexed citations

20.

Zhu, Xia, et al.. (2017). Soft Sensing Method of Marine Enzyme Based on Dynamic Neural Network. SHILAP Revista de lepidopterología. 1 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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