Jianyu Long

2.4k total citations
84 papers, 1.9k citations indexed

About

Jianyu Long is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Jianyu Long has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Control and Systems Engineering, 27 papers in Industrial and Manufacturing Engineering and 20 papers in Mechanical Engineering. Recurrent topics in Jianyu Long's work include Machine Fault Diagnosis Techniques (25 papers), Fault Detection and Control Systems (17 papers) and Advanced Manufacturing and Logistics Optimization (11 papers). Jianyu Long is often cited by papers focused on Machine Fault Diagnosis Techniques (25 papers), Fault Detection and Control Systems (17 papers) and Advanced Manufacturing and Logistics Optimization (11 papers). Jianyu Long collaborates with scholars based in China, Ecuador and United States. Jianyu Long's co-authors include Chuan Li, Shaohui Zhang, Zhenzhong Sun, Yun Bai, Zhe Yang, Pãnos M. Pardalos, Zhong Zheng, Xiaoqiang Gao, Yunwei Huang and Diego Cabrera and has published in prestigious journals such as Journal of Cleaner Production, Journal of Agricultural and Food Chemistry and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jianyu Long

76 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianyu Long China 27 830 544 521 425 211 84 1.9k
Zhaohui Tang China 27 494 0.6× 875 1.6× 167 0.3× 470 1.1× 121 0.6× 175 2.2k
Tianfu Li China 23 2.0k 2.4× 877 1.6× 208 0.4× 802 1.9× 578 2.7× 56 3.3k
Teng Li China 24 870 1.0× 583 1.1× 136 0.3× 435 1.0× 349 1.7× 119 2.4k
Xinhua Yang China 15 757 0.9× 644 1.2× 168 0.3× 397 0.9× 404 1.9× 108 2.1k
Xueyi Li China 20 712 0.9× 460 0.8× 68 0.1× 182 0.4× 288 1.4× 50 1.5k
Lei Deng China 26 1.2k 1.4× 739 1.4× 151 0.3× 199 0.5× 394 1.9× 103 2.2k
Pengfei Liang China 23 1.3k 1.6× 722 1.3× 115 0.2× 391 0.9× 468 2.2× 64 2.1k
Yan‐Lin He China 30 1.5k 1.8× 791 1.5× 185 0.4× 856 2.0× 103 0.5× 236 3.1k

Countries citing papers authored by Jianyu Long

Since Specialization
Citations

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

Fields of papers citing papers by Jianyu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyu Long

This figure shows the co-authorship network connecting the top 25 collaborators of Jianyu Long. A scholar is included among the top collaborators of Jianyu Long 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 Jianyu Long. Jianyu Long 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.
2.
Tian, Xinyu, et al.. (2025). Whole-cell catalytic production of ethylene glycol from C1 compounds using engineered glycolaldehyde synthase. Catalysis Science & Technology. 15(10). 3122–3132. 2 indexed citations
3.
Cabrera, Diego, Jiapeng Wu, Mariela Cerrada, et al.. (2025). One-Class Learning-Based Contrastive Reconstruction Framework for the Anomaly Detection of Reciprocating Machinery. IEEE Transactions on Reliability. 74(4). 5465–5474.
4.
Cabrera, Diego, Jiapeng Wu, Mariela Cerrada, et al.. (2025). Attention-Based Multisignal Representation of High-Resolution Time Series: A Fault Detection Method for Industrial Machinery. IEEE Transactions on Industrial Electronics. 72(9). 9707–9716. 1 indexed citations
5.
Li, Chuan, et al.. (2025). Zero-shot fault diagnosis using soft semantic embedding of diffusion-encoded probability. Advanced Engineering Informatics. 65. 103319–103319. 2 indexed citations
6.
Tan, T. K., Jing Yu, Jianyu Long, et al.. (2025). Rational Design and Engineering of 3-O-Sulfotransferase 1 Based on Enzyme Affinity for Improved Enzymatic Heparin Preparation. Journal of Agricultural and Food Chemistry. 73(18). 11373–11385.
7.
Yang, Zhe, et al.. (2024). Dynamic fuzzy temperature control with quasi-Newtonian particle swarm optimization for precise air conditioning. Energy and Buildings. 310. 114095–114095. 11 indexed citations
8.
Zhang, Shiding, et al.. (2024). Computational design of carboxylase for the synthesis of 4-hydroxyisophthalic acid from p-hydroxybenzoic acid by fixing CO2. Journal of Environmental Management. 366. 121703–121703.
9.
Huang, Yunwei, Jing Qin, Jianyu Long, et al.. (2024). Experimental investigation on the effects of particulate interference on radiation thermometry. International Journal of Heat and Mass Transfer. 224. 125350–125350. 1 indexed citations
10.
11.
Yang, Zhe, Yunwei Huang, Faisal Nazeer, et al.. (2023). A novel fault detection method for rotating machinery based on self-supervised contrastive representations. Computers in Industry. 147. 103878–103878. 19 indexed citations
12.
Shen, Xiaowei, Shiding Zhang, Jianyu Long, et al.. (2023). A Highly Sensitive Model Based on Graph Neural Networks for Enzyme Key Catalytic Residue Prediction. Journal of Chemical Information and Modeling. 63(14). 4277–4290. 8 indexed citations
13.
Li, Chuan, et al.. (2023). Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings. IEEE Transactions on Industrial Informatics. 19(11). 11182–11191. 21 indexed citations
14.
Long, Jianyu, et al.. (2022). Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 44 indexed citations
15.
Cabrera, Diego, Mariela Cerrada, René–Vinicio Sánchez, et al.. (2022). Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump. IEEE/ASME Transactions on Mechatronics. 28(3). 1395–1403. 9 indexed citations
16.
Peng, Da, Zhe Yang, Yunwei Huang, et al.. (2022). Few-label learning for fault diagnosis based on contrastive representations. 1–5. 1 indexed citations
17.
Yang, Zhe, Dejan Gjorgjevikj, Jianyu Long, et al.. (2021). Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties. Chinese Journal of Mechanical Engineering. 34(1). 22 indexed citations
18.
Li, Chuan, Diego Cabrera, Fernando Sancho, et al.. (2020). Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals. Mechanical Systems and Signal Processing. 147. 107108–107108. 41 indexed citations
19.
Zhang, Shaohui, Zhenzhong Sun, Chuan Li, et al.. (2019). Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers. IEEE Transactions on Industrial Informatics. 16(2). 779–789. 46 indexed citations
20.
Cabrera, Diego, Fernando Sancho, Jianyu Long, et al.. (2019). Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery. IEEE Access. 7. 70643–70653. 62 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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