Luefeng Chen

2.6k total citations
129 papers, 1.8k citations indexed

About

Luefeng Chen is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luefeng Chen has authored 129 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Mechanical Engineering, 40 papers in Control and Systems Engineering and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luefeng Chen's work include Emotion and Mood Recognition (32 papers), Drilling and Well Engineering (30 papers) and Tunneling and Rock Mechanics (25 papers). Luefeng Chen is often cited by papers focused on Emotion and Mood Recognition (32 papers), Drilling and Well Engineering (30 papers) and Tunneling and Rock Mechanics (25 papers). Luefeng Chen collaborates with scholars based in China, Japan and Canada. Luefeng Chen's co-authors include Min Wu, Witold Pedrycz, Weihua Cao, Jinhua She, Wanjuan Su, Kaoru Hirota, Mengtian Zhou, Zhentao Liu, Kaoru Hirota and Sheng Du and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Luefeng Chen

113 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Luefeng Chen 562 466 459 446 353 129 1.8k
Weihua Cao 521 0.9× 600 1.3× 391 0.9× 1.2k 2.6× 882 2.5× 219 3.2k
Bo Cheng 224 0.4× 440 0.9× 479 1.0× 1.1k 2.5× 125 0.4× 73 3.1k
Yongxiong Wang 528 0.9× 297 0.6× 476 1.0× 125 0.3× 144 0.4× 85 1.7k
Yong-Ping Zhao 336 0.6× 567 1.2× 446 1.0× 694 1.6× 177 0.5× 114 2.0k
Óscar Martínez Mozos 123 0.2× 351 0.8× 1.5k 3.2× 296 0.7× 99 0.3× 68 2.2k
Kai‐Tai Song 97 0.2× 221 0.5× 1.4k 3.0× 824 1.8× 188 0.5× 147 2.1k
Bing‐Fei Wu 111 0.2× 240 0.5× 969 2.1× 313 0.7× 121 0.3× 169 2.1k
Myo Taeg Lim 94 0.2× 494 1.1× 288 0.6× 709 1.6× 151 0.4× 121 1.9k
G. C. Nandi 129 0.2× 218 0.5× 395 0.9× 221 0.5× 80 0.2× 104 1.3k
Kwee-Bo Sim 137 0.2× 406 0.9× 362 0.8× 150 0.3× 87 0.2× 178 1.4k

Countries citing papers authored by Luefeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Luefeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luefeng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Luefeng Chen. A scholar is included among the top collaborators of Luefeng Chen 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 Luefeng Chen. Luefeng Chen 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.
Zhang, Wen, Min Wu, Sheng Du, et al.. (2025). A transfer learning-based plate shape prediction model with limited samples for roller quenching process. Engineering Applications of Artificial Intelligence. 160. 111960–111960.
2.
Chen, Luefeng, Jiazhuo Li, Min Li, et al.. (2025). Skeleton-Based Action Recognition Using Multibranch Adaptive Graph Convolutional Network With Pose Refinement. IEEE Transactions on Computational Social Systems. 12(6). 4689–4699.
3.
Yang, Xiao, et al.. (2024). Prediction of rate of penetration based on drilling conditions identification for drilling process. Neurocomputing. 579. 127439–127439. 10 indexed citations
4.
Li, Min, Luefeng Chen, Min Wu, Kaoru Hirota, & Witold Pedrycz. (2024). Broad-deep network-based fuzzy emotional inference model with personal information for intention understanding in human–robot interaction. Annual Reviews in Control. 57. 100951–100951. 1 indexed citations
5.
Chen, Luefeng, et al.. (2024). Improved ShuffleNet V2 network with attention for speech emotion recognition. Information Sciences. 689. 121488–121488. 3 indexed citations
6.
Chen, Luefeng, et al.. (2024). Lithology identification of coal-bearing strata based on data-driven dual-channel relevance networks in coal mine roadway drilling process. Information Sciences. 690. 121339–121339. 9 indexed citations
7.
Chen, Luefeng, et al.. (2024). Two-Stage Representation Refinement Based on Convex Combination for 3-D Human Poses Estimation. IEEE Transactions on Artificial Intelligence. 5(12). 6500–6508. 1 indexed citations
8.
Chen, Luefeng, Xiao Liu, Min Wu, et al.. (2024). A LESO Based Backstepping Controller Considering Coal Seam Hardness for Rotary Speed in Coal Mine Tunnel Drilling Process. Journal of Systems Science and Complexity. 37(5). 1789–1808.
9.
Wu, Min, et al.. (2024). Parameter-Estimation-Based Gain-Scheduling Control of Weight on Bit in Drilling Process With Uncertain Penetration Resistance Coefficient. IEEE Transactions on Cybernetics. 54(11). 6984–6996. 1 indexed citations
10.
Wu, Min, Sheng Du, Jie Hu, et al.. (2024). Prediction model of burn-through point with data correction based on feature matching of cross-section frame at discharge end. Journal of Process Control. 140. 103265–103265. 2 indexed citations
12.
13.
Li, Min, Luefeng Chen, Min Wu, & Kaoru Hirota. (2023). A broad-deep fusion network-based fuzzy emotional intention inference model for teaching validity evaluation. Information Sciences. 654. 119837–119837. 1 indexed citations
14.
Liu, Kang‐Zhi, Manli Zhang, Chengda Lu, et al.. (2022). Disturbance rejection of T–S fuzzy systems: a membership function-dependent EID method. International Journal of Systems Science. 54(3). 618–632. 6 indexed citations
15.
Lai, Xuzhi, et al.. (2021). Equivalent-input-disturbance-based robust control of drilling trajectory with weight-on-bit uncertainty in directional drilling. ISA Transactions. 127. 370–382. 10 indexed citations
16.
Zhang, Dian, Min Wu, Chengda Lu, et al.. (2021). Intelligent Compensating Method for MPC-Based Deviation Correction with Stratum Uncertainty in Vertical Drilling Process. Journal of Advanced Computational Intelligence and Intelligent Informatics. 25(1). 23–30. 3 indexed citations
17.
Ding, Min, Xiaomin Wu, Danyun Li, et al.. (2019). Optimal Economic Operation of Microgrid Considering Lifetime Characteristics for Hybrid Energy Storage System. Asian Control Conference. 585–590. 2 indexed citations
18.
Wu, Min, et al.. (2019). Fuzzy PID Control Based on Working Condition Identification for Mould Level in Continuous Casting Process. Asian Control Conference. 833–837.
19.
Lai, Xuzhi, et al.. (2019). Compensation Control for Tool Attitude in Directional Drilling Systems. Asian Control Conference. 376–380. 3 indexed citations
20.
Chen, Luefeng, Zhentao Liu, Min Wu, Fangyan Dong, & Kaoru Hirota. (2015). Multi-Robot Behavior Adaptation to Humans’ Intention in Human-Robot Interaction Using Information-Driven Fuzzy Friend-Q Learning. Journal of Advanced Computational Intelligence and Intelligent Informatics. 19(2). 173–184. 8 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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