Minghu Wu

1.1k total citations
56 papers, 793 citations indexed

About

Minghu Wu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Minghu Wu has authored 56 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Electrical and Electronic Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Minghu Wu's work include Sparse and Compressive Sensing Techniques (7 papers), Fault Detection and Control Systems (6 papers) and Advanced Battery Technologies Research (6 papers). Minghu Wu is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Fault Detection and Control Systems (6 papers) and Advanced Battery Technologies Research (6 papers). Minghu Wu collaborates with scholars based in China, Canada and Australia. Minghu Wu's co-authors include Nan Zhao, Jingjing Chen, Xiangkui Wan, Fan Zhang, Min Liu, Jin Liang, Yinhua Xia, Yan Li, Chunyan Zeng and Cong Liu and has published in prestigious journals such as Sensors, Applied Sciences and Journal of Energy Storage.

In The Last Decade

Minghu Wu

50 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minghu Wu China	15	374	245	155	129	123	56	793
Chin-Woo Tan United States	14	187 0.5×	141 0.6×	122 0.8×	362 2.8×	95 0.8×	24	897
Matthew J. Rutherford United States	16	302 0.8×	158 0.6×	306 2.0×	204 1.6×	148 1.2×	78	1.3k
Mingzhi Mao China	19	460 1.2×	388 1.6×	213 1.4×	47 0.4×	24 0.2×	71	970
Quanbo Ge China	16	357 1.0×	462 1.9×	78 0.5×	270 2.1×	39 0.3×	91	920
Carlos H. Llanos Brazil	16	176 0.5×	228 0.9×	186 1.2×	169 1.3×	29 0.2×	102	1.1k
Lutz Gröll Germany	14	351 0.9×	224 0.9×	366 2.4×	101 0.8×	423 3.4×	72	985
Sumika Chauhan India	21	417 1.1×	281 1.1×	88 0.6×	162 1.3×	30 0.2×	59	995
Longhua Ma China	16	152 0.4×	201 0.8×	97 0.6×	200 1.6×	125 1.0×	68	698
Xiangyuan Jiang China	12	174 0.5×	197 0.8×	139 0.9×	129 1.0×	28 0.2×	38	671
Alok Kanti Deb India	12	290 0.8×	150 0.6×	70 0.5×	113 0.9×	25 0.2×	77	717

Countries citing papers authored by Minghu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Minghu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghu Wu

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

Liu, Yi, et al.. (2025). Comparative Analysis of Noise Margin Between Pure SET-SET and Hybrid SET-PMOS Inverters. Chinese Journal of Electronics. 34(1). 146–155.

Wang, Sheng, et al.. (2025). Multi-scale adaptive detail enhancement dehazing network for autonomous driving perception images. Pattern Analysis and Applications. 28(2).

Liu, Zhipeng, et al.. (2024). Multitap RF canceller with single LMS loop for adaptive co-site broadband interference cancellation. China Communications. 21(9). 179–197.

Wu, Minghu, et al.. (2024). State of Health Estimation and Remaining Useful Life Prediction of Lithium-Ion Batteries by Charging Feature Extraction and Ridge Regression. Applied Sciences. 14(8). 3153–3153. 8 indexed citations

Wang, Juan, et al.. (2024). UR-YOLO: an urban road small object detection algorithm. Pattern Analysis and Applications. 27(4). 1 indexed citations

Wu, Minghu, Meng Sun, Fan Zhang, et al.. (2023). A fault detection method of electric vehicle battery through Hausdorff distance and modified Z-score for real-world data. Journal of Energy Storage. 60. 106561–106561. 39 indexed citations

Tang, Jing, et al.. (2023). Position control of electro-hydraulic servo system using active disturbance rejection control for upper-limb exoskeleton. Journal of Vibroengineering. 25(3). 581–593. 1 indexed citations

Liu, Siqi, et al.. (2023). Development of a single LMS loop three channels analog adaptive co-site interference cancelling system. Heliyon. 9(9). e19118–e19118. 1 indexed citations

Wang, Juan, et al.. (2023). Improved BlendMask: Nuclei instance segmentation for medical microscopy images. IET Image Processing. 17(7). 2284–2296. 7 indexed citations

10.

Liu, Cong, et al.. (2023). A Lightweight Network Based on Improved YOLOv5s for Insulator Defect Detection. Electronics. 12(20). 4292–4292. 5 indexed citations

11.

Wang, Juan, et al.. (2023). Nuclei instance segmentation using a transformer-based graph convolutional network and contextual information augmentation. Computers in Biology and Medicine. 167. 107622–107622. 7 indexed citations

12.

Tang, Jing, et al.. (2023). Detection of railway catenary insulator defects based on improved YOLOv5s. PeerJ Computer Science. 9. e1474–e1474. 3 indexed citations

13.

Zhao, Nan, Jiaye Wang, Bo Jin, et al.. (2023). Multi-Agent Reinforcement Learning-Based Resource Management for V2X Communication. 14(1). 1–17. 1 indexed citations

14.

Wu, Minghu, et al.. (2022). Improved YOLOX Foreign Object Detection Algorithm for Transmission Lines. Wireless Communications and Mobile Computing. 2022(1). 18 indexed citations

15.

Li, Fei, et al.. (2022). A weighted block cooperative sparse representation algorithm based on visual saliency dictionary. CAAI Transactions on Intelligence Technology. 8(1). 235–246. 5 indexed citations

16.

Zeng, Chunyan, et al.. (2021). Cascade neural network-based joint sampling and reconstruction for image compressed sensing. Signal Image and Video Processing. 16(1). 47–54. 15 indexed citations

17.

Zeng, Chunyan, Dong‐Liang Zhu, Zhifeng Wang, et al.. (2021). Spatial and temporal learning representation for end-to-end recording device identification. EURASIP Journal on Advances in Signal Processing. 2021(1). 18 indexed citations

18.

Li, Qing, et al.. (2016). Array configuration optimization for one-dimensional nonuniform aperture synthesis radiometers. 850–852.

19.

Wan, Xiangkui, et al.. (2016). A T-wave alternans assessment method based on least squares curve fitting technique. Measurement. 86. 93–100. 115 indexed citations

20.

Li, Ran, et al.. (2013). Side Information Extrapolation Using Motion-aligned Auto Regressive Model for Compressed Sensing based Wyner-Ziv Codec. KSII Transactions on Internet and Information Systems. 7(2). 366–385. 2 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.

Explore authors with similar magnitude of impact