Jian Feng

4.0k total citations
181 papers, 3.0k citations indexed

About

Jian Feng is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Jian Feng has authored 181 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Control and Systems Engineering, 53 papers in Electrical and Electronic Engineering and 51 papers in Mechanical Engineering. Recurrent topics in Jian Feng's work include Non-Destructive Testing Techniques (32 papers), Fault Detection and Control Systems (26 papers) and Neural Networks Stability and Synchronization (22 papers). Jian Feng is often cited by papers focused on Non-Destructive Testing Techniques (32 papers), Fault Detection and Control Systems (26 papers) and Neural Networks Stability and Synchronization (22 papers). Jian Feng collaborates with scholars based in China, Canada and United States. Jian Feng's co-authors include Senxiang Lu, Shaohua Luo, Huaguang Zhang, Jinhai Liu, Shengxue Yan, Qing Wang, Kezhen Han, Yahui Zhang, Fangming Li and Pengwei Li and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Chemical Engineering Journal.

In The Last Decade

Jian Feng

159 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Feng China 30 1.1k 896 727 576 346 181 3.0k
Sai Li China 30 1.2k 1.1× 340 0.4× 288 0.4× 244 0.4× 114 0.3× 138 2.8k
Tingting Wang China 26 1.1k 1.0× 619 0.7× 563 0.8× 196 0.3× 183 0.5× 194 2.5k
Kai Yang China 25 1.7k 1.6× 451 0.5× 191 0.3× 525 0.9× 97 0.3× 247 3.1k
Wenyi Liu China 36 2.3k 2.2× 1.0k 1.2× 287 0.4× 359 0.6× 217 0.6× 131 4.0k
Ahmed Abu‐Siada Australia 43 5.6k 5.2× 817 0.9× 2.1k 2.9× 587 1.0× 274 0.8× 310 6.4k
Ruonan Liu China 25 958 0.9× 1.6k 1.8× 2.7k 3.7× 725 1.3× 1.0k 3.0× 67 4.5k
Xiaoyan Huang China 30 2.1k 2.0× 751 0.8× 1.3k 1.8× 610 1.1× 76 0.2× 298 3.6k
Jie Bao Australia 30 1.8k 1.7× 434 0.5× 1.4k 2.0× 376 0.7× 42 0.1× 232 3.9k
Wenping Cao China 42 4.5k 4.2× 1.0k 1.1× 1.8k 2.5× 991 1.7× 163 0.5× 281 6.0k

Countries citing papers authored by Jian Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jian Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Feng. A scholar is included among the top collaborators of Jian Feng 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 Jian Feng. Jian Feng 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.
Liu, Jinze, Jian Feng, Huaguang Zhang, & Shengxiang Yang. (2025). A novel multi-level hierarchy optimization algorithm for pipeline inner detector speed control. Neurocomputing. 627. 129715–129715.
2.
Yao, Yu, Jian Feng, & Yue Liu. (2024). Domain Knowledge-Guided Contrastive Learning Framework Based on Complementary Views for Fault Diagnosis With Limited Labeled Data. IEEE Transactions on Industrial Informatics. 20(5). 8055–8063. 8 indexed citations
3.
4.
Feng, Jian, et al.. (2024). A Coevolutionary Algorithm With Detection and Supervision Strategies for Constrained Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 29(6). 2343–2356. 8 indexed citations
5.
Zuo, Yuefei, et al.. (2024). A self-powered triboelectric wind detection sensor with adaptive electromagnetic damping adjusting mechanism. Sustainable Energy Technologies and Assessments. 73. 104132–104132. 4 indexed citations
6.
Yao, Yu, et al.. (2024). Adaptive neighborhood-perceived contrastive network for early stage fault diagnosis of rolling bearing with limited labeled data. Engineering Applications of Artificial Intelligence. 137. 109063–109063. 9 indexed citations
7.
Feng, Jian, et al.. (2023). A stress defect state measurement method based on low-frequency ACMFL excitation and Hall sensor array collection. Measurement Science and Technology. 34(8). 84008–84008. 2 indexed citations
8.
Feng, Jian, Qi Xiao, Senxiang Lu, & Huaguang Zhang. (2023). A Double Remote Magnetic Field Synthesis Method for Reducing High-Speed MFL Signal Distortion Caused by Velocity Effect. IEEE Transactions on Industrial Electronics. 71(1). 1049–1059. 26 indexed citations
9.
Feng, Jian, et al.. (2023). An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization. Swarm and Evolutionary Computation. 83. 101386–101386. 10 indexed citations
10.
Zhang, Xinbo, et al.. (2023). FMD-Framework: A Size Estimation Method for Pipeline Defects in Weld-Affected Zones. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 5 indexed citations
11.
Feng, Jian, et al.. (2023). Weak Magnetic Flux Leakage Detection and Numerical Method Under Inclined Pressure Conditions. IEEE Transactions on Magnetics. 59(8). 1–9. 2 indexed citations
12.
Feng, Jian, et al.. (2023). A novel MFL detection method based on low frequency AC magnetization for identification defect. Journal of Magnetism and Magnetic Materials. 580. 170864–170864. 5 indexed citations
13.
Xiao, Qi, et al.. (2022). Accurate Identification for 3-D Position of Hybrid Defects in Ferromagnetic Pipe Using External Remote Field Eddy Current Testing. IEEE Transactions on Magnetics. 58(3). 1–10. 11 indexed citations
14.
Feng, Jian, et al.. (2022). A Single-Stage Enhancement-Identification Framework for Pipeline MFL Inspection. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 19 indexed citations
15.
Lu, Senxiang, Jian Feng, Huaguang Zhang, Jinhai Liu, & Zhenning Wu. (2018). An Estimation Method of Defect Size From MFL Image Using Visual Transformation Convolutional Neural Network. IEEE Transactions on Industrial Informatics. 15(1). 213–224. 123 indexed citations
16.
Li, Fangming, Jian Feng, Huaguang Zhang, et al.. (2018). Quick Reconstruction of Arbitrary Pipeline Defect Profiles From MFL Measurements Employing Modified Harmony Search Algorithm. IEEE Transactions on Instrumentation and Measurement. 67(9). 2200–2213. 57 indexed citations
17.
Huang, Jun, et al.. (2010). COMPARATIVE STUDY ABOUT FLESH CONTENTS AND NUTRIENT VALUES IN BROWN BULLHEAD, LOACH AND DARKBARBEL CATFISH. Acta Hydrobiologica Sinica. 34(5). 990–997.
18.
Feng, Jian. (2009). On-Line Leak-Detection Method for Pressure Time Series of Oil Pipeline. Journal of Northeastern University. 2 indexed citations
19.
Feng, Jian, et al.. (2005). EFFECT OF DIETARY SMALL PEPTIDES ON GROWTH PERFORMANCE OF GRASS CARP, CTENOPHARYNGODON IDELLA. Acta Hydrobiologica Sinica. 29(1). 20–25.
20.
Yu, Hui, et al.. (2004). EFFECT OF SMALL PEPTIDES FROM CASEIN ON GROWTH AND FEED UTILIZATION IN JUVENILE GRASS CARP CTENOPHARYNGODON IDELLA. Acta Hydrobiologica Sinica. 28(5). 526–530. 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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