Mingqi Lu

472 total citations
21 papers, 330 citations indexed

About

Mingqi Lu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Mingqi Lu has authored 21 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Mingqi Lu's work include Human Pose and Action Recognition (12 papers), Video Surveillance and Tracking Methods (8 papers) and Autonomous Vehicle Technology and Safety (5 papers). Mingqi Lu is often cited by papers focused on Human Pose and Action Recognition (12 papers), Video Surveillance and Tracking Methods (8 papers) and Autonomous Vehicle Technology and Safety (5 papers). Mingqi Lu collaborates with scholars based in China, Singapore and United Kingdom. Mingqi Lu's co-authors include Xiaobo Lu, Yaocong Hu, Chao Xie, Minglu Qu, Zhao Li, James E. Braun, Davide Ziviani, Jianbo Chen, Xuehong Song and Li Geng and has published in prestigious journals such as IEEE Transactions on Image Processing, Energy and Buildings and Pattern Recognition.

In The Last Decade

Mingqi Lu

20 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingqi Lu China	10	159	82	61	52	42	21	330
Mohammad Shahverdy Iran	4	75 0.5×	136 1.7×	50 0.8×	28 0.5×	42 1.0×	9	296
Igor Lashkov Russia	9	68 0.4×	136 1.7×	26 0.4×	48 0.9×	63 1.5×	27	321
Lichao Yang United Kingdom	10	92 0.6×	37 0.5×	34 0.6×	26 0.5×	42 1.0×	25	359
Juan Luís Carús Spain	10	73 0.5×	37 0.5×	58 1.0×	27 0.5×	56 1.3×	23	360
Zuopeng Zhao China	10	86 0.5×	30 0.4×	49 0.8×	53 1.0×	38 0.9×	18	293
Renran Tian United States	12	110 0.7×	169 2.1×	58 1.0×	18 0.3×	82 2.0×	43	365
Duy Tran United States	8	83 0.5×	168 2.0×	39 0.6×	31 0.6×	84 2.0×	12	310
Yehya Abouelnaga Egypt	3	110 0.7×	99 1.2×	71 1.2×	25 0.5×	74 1.8×	3	280
Hesham M. Eraqi Egypt	6	146 0.9×	114 1.4×	75 1.2×	24 0.5×	76 1.8×	13	293

Countries citing papers authored by Mingqi Lu

Since Specialization

Citations

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

Fields of papers citing papers by Mingqi Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingqi Lu

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

Lu, Mingqi, Xiaobo Lu, & Jun Liu. (2025). Skeleton-prompt: A cross-dataset transfer learning approach for skeleton action recognition. Pattern Recognition. 169. 111885–111885. 1 indexed citations

Wang, Wei, et al.. (2025). A landmarks-assisted diffusion model with heatmap-guided denoising loss for high-fidelity and controllable facial image generation. Image and Vision Computing. 159. 105545–105545.

Lu, Mingqi, Siyuan Yang, Xiaobo Lu, & Jun Liu. (2024). Cross-Modal Contrastive Pre-Training for Few-Shot Skeleton Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9798–9807. 4 indexed citations

Hu, Yaocong, et al.. (2023). ESDAR-net: towards high-accuracy and real-time driver action recognition for embedded systems. Multimedia Tools and Applications. 83(6). 18281–18307. 2 indexed citations

Lu, Mingqi & Xiaobo Lu. (2023). Keypoint-enhanced adaptive weighting model with effective frequency channel attention for driver action recognition. Engineering Applications of Artificial Intelligence. 123. 106321–106321. 5 indexed citations

Cai, Wenjie, Mingqi Lu, Xiaoyan Cheng, & Weijun Dai. (2022). Improved probe detection sensitivity by flexible tandem biotin labeling. Journal of Microbiological Methods. 204. 106654–106654. 1 indexed citations

Lu, Mingqi, Yaocong Hu, & Xiaobo Lu. (2022). A pose-aware dynamic weighting model using feature integration for driver action recognition. Engineering Applications of Artificial Intelligence. 113. 104918–104918. 9 indexed citations

Hu, Yaocong, Mingqi Lu, Chao Xie, & Xiaobo Lu. (2021). FIN-GAN: Face illumination normalization via retinex-based self-supervised learning and conditional generative adversarial network. Neurocomputing. 456. 109–125. 16 indexed citations

Lu, Mingqi, Yaocong Hu, & Xiaobo Lu. (2021). Pose-guided model for driving behavior recognition using keypoint action learning. Signal Processing Image Communication. 100. 116513–116513. 10 indexed citations

10.

Hu, Yaocong, Mingqi Lu, Chao Xie, & Xiaobo Lu. (2021). Video-based driver action recognition via hybrid spatial–temporal deep learning framework. Multimedia Systems. 27(3). 483–501. 12 indexed citations

11.

Qu, Minglu, Mingqi Lu, Zhao Li, et al.. (2020). Thermal energy storage based (TES-based) reverse cycle defrosting control strategy optimization for a cascade air source heat pump. Energy and Buildings. 219. 110014–110014. 37 indexed citations

12.

Hu, Yaocong, Mingqi Lu, Chao Xie, & Xiaobo Lu. (2020). Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4755–4768. 29 indexed citations

13.

Hu, Yaocong, Mingqi Lu, & Xiaobo Lu. (2019). Feature refinement for image-based driver action recognition via multi-scale attention convolutional neural network. Signal Processing Image Communication. 81. 115697–115697. 30 indexed citations

14.

Lu, Mingqi, Yaocong Hu, & Xiaobo Lu. (2019). Dilated Light-Head R-CNN using tri-center loss for driving behavior recognition. Image and Vision Computing. 90. 103800–103800. 11 indexed citations

15.

Lu, Mingqi, Yaocong Hu, & Xiaobo Lu. (2019). Driver action recognition using deformable and dilated faster R-CNN with optimized region proposals. Applied Intelligence. 50(4). 1100–1111. 72 indexed citations

16.

Hu, Yaocong, Mingqi Lu, & Xiaobo Lu. (2018). Driving behaviour recognition from still images by using multi-stream fusion CNN. Machine Vision and Applications. 30(5). 851–865. 58 indexed citations

17.

Lu, Mingqi, et al.. (2018). Forest Fire Smoke Recognition Based on Multiple Feature Fusion. IOP Conference Series Materials Science and Engineering. 435. 12006–12006. 4 indexed citations

18.

Lu, Mingqi, Yaocong Hu, & Xiaobo Lu. (2018). Driver Detection Based on Deep Learning. Journal of Physics Conference Series. 1069. 12118–12118. 1 indexed citations

19.

Lu, Mingqi, Ling Chen, & Gencai Chen. (2010). Position Prediction Based on Adaptive Multi-Order Markov Model. 47(10). 1764. 3 indexed citations

20.

Liao, Qinping, Miao Zhang, Li Geng, et al.. (2008). Efficacy and Safety of Alprostadil Cream for the Treatment of Female Sexual Arousal Disorder: A Double-Blind, Placebo-Controlled Study in Chinese Population. The Journal of Sexual Medicine. 5(8). 1923–1931. 24 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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