Jinrui Wang

7.4k total citations · 4 hit papers
256 papers, 5.9k citations indexed

About

Jinrui Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Jinrui Wang has authored 256 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Control and Systems Engineering, 86 papers in Mechanical Engineering and 59 papers in Mechanics of Materials. Recurrent topics in Jinrui Wang's work include Machine Fault Diagnosis Techniques (116 papers), Gear and Bearing Dynamics Analysis (70 papers) and Engineering Diagnostics and Reliability (46 papers). Jinrui Wang is often cited by papers focused on Machine Fault Diagnosis Techniques (116 papers), Gear and Bearing Dynamics Analysis (70 papers) and Engineering Diagnostics and Reliability (46 papers). Jinrui Wang collaborates with scholars based in China, Australia and United States. Jinrui Wang's co-authors include Shunming Li, Zenghui An, Baokun Han, Xingxing Jiang, Shumin Wang, Zongzhen Zhang, Hengte Ke, Weiwei Qian, Yu Xin and Huaiqian Bao and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Jinrui Wang

238 papers receiving 5.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines

2018 219 citations Jinrui Wang, Shunming Li et al. profile →
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis

2023 110 citations Jinrui Wang, Zongzhen Zhang et al. Reliability Engineering & System Safety profile →
Effect of oxygen deficient conditions on oxidative spontaneous combustion characteristics of raw coal and water-immersed air-dried bituminous coal

2025 28 citations Jun Deng, Shuaijing Ren et al. Process Safety and Environmental Protection profile →
Acoustic wave propagation characteristics and spontaneous combustion warning of coal during oxidative warming of loose coal

2025 22 citations Jinrui Wang, Jun Deng et al. Fuel profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jinrui Wang	2.3k	1.7k	1.4k	948	833	256	5.9k
Chunwei Zhang	972 0.4×	1.3k 0.8×	2.0k 1.4×	1.8k 1.9×	1.5k 1.7×	474	10.3k
Youqing Wang	4.6k 2.0×	829 0.5×	1.8k 1.2×	1.2k 1.3×	215 0.3×	308	8.1k
Heung Soo Kim	747 0.3×	2.1k 1.3×	2.5k 1.7×	989 1.0×	1.9k 2.3×	361	8.6k
Hua Li	519 0.2×	1.5k 0.9×	1.6k 1.1×	966 1.0×	928 1.1×	318	6.3k
Yao Chen	546 0.2×	1.7k 1.0×	2.8k 1.9×	946 1.0×	458 0.5×	219	6.2k
Shengnan Tang	1.2k 0.5×	218 0.1×	917 0.6×	724 0.8×	497 0.6×	89	3.2k
Pak Kin Wong	1.9k 0.8×	750 0.4×	1.3k 0.9×	498 0.5×	422 0.5×	259	5.6k
Yongzhi Zhang	772 0.3×	3.4k 2.1×	601 0.4×	1.7k 1.8×	202 0.2×	240	9.7k
Sang Bin Lee	4.1k 1.8×	431 0.3×	2.5k 1.7×	671 0.7×	689 0.8×	294	7.1k
Yi Jin	325 0.1×	1.3k 0.8×	1.6k 1.1×	548 0.6×	201 0.2×	238	6.0k

Countries citing papers authored by Jinrui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Jinrui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinrui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinrui Wang. A scholar is included among the top collaborators of Jinrui Wang 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 Jinrui Wang. Jinrui Wang 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

Zhang, Guowei, Xianguang Kong, Hongbo Ma, et al.. (2025). Dual disentanglement domain generalization method for rotating Machinery fault diagnosis. Mechanical Systems and Signal Processing. 228. 112460–112460. 12 indexed citations

Wang, Jinrui, Dawei Wang, Huaiqian Bao, et al.. (2025). A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis. Knowledge-Based Systems. 311. 113066–113066. 3 indexed citations

Deng, Jun, Shuaijing Ren, Caiping Wang, et al.. (2024). Investigation on high temperature point detection of spontaneous combustion of loose coal based on optimal acoustic signal. Process Safety and Environmental Protection. 185. 423–434. 18 indexed citations

Deng, Jun, Shuaijing Ren, Caiping Wang, et al.. (2024). Research on temperature measurement model of loose coal considering humidity using acoustic wave method. Fuel. 373. 132317–132317. 12 indexed citations

Zhang, Guowei, Xianguang Kong, Qibin Wang, et al.. (2024). Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis. Reliability Engineering & System Safety. 250. 110252–110252. 18 indexed citations

Han, Baokun, et al.. (2024). Adaptive fast nonlinear blind deconvolution based on nonuniform particle swarm optimization for the rolling bearing fault diagnosis. Measurement. 235. 114788–114788. 6 indexed citations

Gao, Xueying, Weijie Fu, Yanfei Sun, et al.. (2024). Half-disturbed spin desalination: Asymmetric high-spin states in MnO2 accelerate charge transfer in capacitive deionization. Desalination. 583. 117739–117739. 7 indexed citations

Feng, Yifan, Tingting Zheng, Jinrui Wang, et al.. (2024). Caffeic acid-mediated photodynamic multifunctional hyaluronic acid-gallic acid hydrogels with instant and enduring bactericidal potency accelerate bacterial infected wound healing. International Journal of Biological Macromolecules. 282(Pt 2). 136877–136877. 4 indexed citations

Wang, Jinrui, et al.. (2024). Self-learning guided residual shrinkage network for intelligent fault diagnosis of planetary gearbox. Engineering Applications of Artificial Intelligence. 139. 109603–109603. 1 indexed citations

10.

Wang, Zhiyong, et al.. (2024). A novel TCN-GRU based open set method for unknown damage diagnosis. Measurement Science and Technology. 36(1). 16168–16168. 1 indexed citations

11.

Deng, Jun, Shuaijing Ren, Caiping Wang, et al.. (2023). Effect of water soaking and air drying on the thermal effect and heat transfer characteristics of coal oxidation at the low-temperature oxidation stage. Energy. 288. 129705–129705. 28 indexed citations

12.

Zhang, Zongzhen, et al.. (2023). A novel bearing diagnosis method under random impact disturbance based on the nonlinear convolutional sparse filtering. Measurement Science and Technology. 34(10). 105103–105103. 2 indexed citations

13.

Liu, Xia, Yebo Yao, Dewei Wang, et al.. (2023). Elevating the Orbital Energy Level of d_xy in MnO₆ via d–π Conjugation Enables Exceptional Sodium‐Storage Performance. Advanced Energy Materials. 13(25). 46 indexed citations

14.

Han, Rui, et al.. (2023). Attention mechanism guided sparse filtering for mechanical intelligent fault diagnosis under variable speed condition. Measurement Science and Technology. 35(4). 42001–42001. 8 indexed citations

15.

Gao, Xueying, Zhenzhen Fu, Yanfei Sun, et al.. (2023). Efficient hybrid capacitive deionization with MnO2/g-C3N4 heterostructure: Enhancing Mn dz2 electron occupancy by interfacial electron bridge for fast charge transfer. Desalination. 567. 116981–116981. 21 indexed citations

16.

Wang, Jinrui, Zongzhen Zhang, Zhiliang Liu, et al.. (2023). Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis. Reliability Engineering & System Safety. 234. 109152–109152. 110 indexed citations breakdown →

17.

Zhang, Guowei, Xianguang Kong, Jingli Du, et al.. (2023). Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery. Engineering Applications of Artificial Intelligence. 120. 105847–105847. 18 indexed citations

18.

Cai, Yixi, et al.. (2023). Adaptive Convolution Sparse Filtering Method for the Fault Diagnosis of an Engine Timing Gearbox. Sensors. 24(1). 169–169. 1 indexed citations

19.

Xu, Kun, et al.. (2019). A novel convolutional transfer feature discrimination network for unbalanced fault diagnosis under variable rotational speeds. Measurement Science and Technology. 30(10). 105107–105107. 31 indexed citations

20.

Wang, Jinrui, Shunming Li, Baokun Han, et al.. (2018). Construction of a batch-normalized autoencoder network and its application in mechanical intelligent fault diagnosis. Measurement Science and Technology. 30(1). 15106–15106. 57 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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