Peishu Wu

1.9k total citations · 1 hit paper
39 papers, 1.4k citations indexed

About

Peishu Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peishu Wu has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peishu Wu's work include Advanced Neural Network Applications (8 papers), COVID-19 diagnosis using AI (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Peishu Wu is often cited by papers focused on Advanced Neural Network Applications (8 papers), COVID-19 diagnosis using AI (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Peishu Wu collaborates with scholars based in China, United Kingdom and Saudi Arabia. Peishu Wu's co-authors include Nianyin Zeng, Han Li, Zidong Wang, Xiaohui Liu, Weibo Liu, Fuad E. Alsaadi, Fengping Li, Kathy Clawson, Jingfeng Mao and Yurong Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Peishu Wu

36 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection

2022 373 citations Nianyin Zeng, Peishu Wu et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peishu Wu China	18	572	442	262	181	110	39	1.4k
Feiwei Qin China	20	502 0.9×	279 0.6×	181 0.7×	124 0.7×	60 0.5×	91	1.3k
Xiaoheng Jiang China	16	847 1.5×	517 1.2×	156 0.6×	68 0.4×	76 0.7×	52	1.4k
Danijel Skočaj Slovenia	20	843 1.5×	1.1k 2.4×	492 1.9×	133 0.7×	84 0.8×	67	2.0k
Zihang Jiang China	11	1.2k 2.1×	570 1.3×	95 0.4×	156 0.9×	194 1.8×	23	1.9k
Mohammad Farukh Hashmi India	19	552 1.0×	273 0.6×	65 0.2×	264 1.5×	95 0.9×	94	1.2k
Shi Qiu China	16	1.3k 2.3×	322 0.7×	146 0.6×	55 0.3×	61 0.6×	71	2.2k
Orhan Yaman Türkiye	19	163 0.3×	227 0.5×	151 0.6×	141 0.8×	131 1.2×	76	1.2k
Xinghao Chen China	16	1.3k 2.2×	510 1.2×	88 0.3×	88 0.5×	138 1.3×	56	1.9k
Shihui Ying China	24	1.0k 1.8×	670 1.5×	80 0.3×	435 2.4×	112 1.0×	124	2.2k
Yaping Huang China	19	607 1.1×	266 0.6×	117 0.4×	61 0.3×	70 0.6×	92	1.2k

Countries citing papers authored by Peishu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Peishu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peishu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Peishu Wu. A scholar is included among the top collaborators of Peishu 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 Peishu Wu. Peishu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Liang, et al.. (2025). MLF-DOU: A metric learning framework with dual one-class units for network intrusion detection. Neurocomputing. 649. 130754–130754. 1 indexed citations

Wu, Peishu, Wei Wen, Li Han, Zeyu Li, & Nianyin Zeng. (2025). AI-driven automation of aviation equipment inspection: Insights from a complex adaptive systems perspective. The Innovation. 7(1). 101084–101084. 1 indexed citations

Wu, Peishu, et al.. (2025). From data analysis to intelligent maintenance: a survey on visual defect detection in aero-engines. Measurement Science and Technology. 36(6). 62001–62001. 8 indexed citations

Xu, Haipeng, et al.. (2025). MSSFN: A multi-scale sequence fusion network for CT-based diagnosis of pulmonary complications. Neurocomputing. 634. 129878–129878. 1 indexed citations

Li, Han, et al.. (2024). A novel population robustness-based switching response framework for solving dynamic multi-objective problems. Neurocomputing. 583. 127601–127601. 9 indexed citations

Wang, Zidong, et al.. (2024). ℓ-DARTS: Light-weight differentiable architecture search with robustness enhancement strategy. Knowledge-Based Systems. 288. 111466–111466. 32 indexed citations

Wang, Zidong, et al.. (2024). Enhanced multi-label cardiology diagnosis with channel-wise recurrent fusion. Computers in Biology and Medicine. 171. 108210–108210. 11 indexed citations

Wu, Peishu, et al.. (2024). CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron. IEEE photonics journal. 16(4). 1–11.

Wu, Peishu, et al.. (2024). A Novel Equipment Based on Improved YOLOv5s for Automated Electrical Cover Handling. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 4 indexed citations

10.

Wu, Peishu, et al.. (2024). SGRN: SEMG-based gesture recognition network with multi-dimensional feature extraction and multi-branch information fusion. Expert Systems with Applications. 259. 125302–125302. 9 indexed citations

11.

Wu, Peishu, et al.. (2024). Standard Curve Fitting of CCD Fluorescence Scanner Based on Neural Dynamics. IEEE Sensors Journal. 24(13). 21595–21603.

12.

Wang, Zidong, Han Li, Peishu Wu, et al.. (2023). Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis. Computers in Biology and Medicine. 159. 106947–106947. 11 indexed citations

13.

Guo, Xiaoyue, Zidong Wang, Peishu Wu, et al.. (2023). ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information. Computers in Biology and Medicine. 169. 107879–107879. 11 indexed citations

14.

Wang, Zidong, et al.. (2023). A lightweight surface defect detection framework combined with dual-domain attention mechanism. Expert Systems with Applications. 238. 121726–121726. 59 indexed citations

15.

Wu, Peishu, Haipeng Xu, Meilin Liu, et al.. (2023). A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions. 445–450. 1 indexed citations

16.

Zhang, Hongyi, et al.. (2023). A novel attention-based enhancement framework for face mask detection in complicated scenarios. Signal Processing Image Communication. 116. 116985–116985. 6 indexed citations

17.

Li, Han, Peishu Wu, Nianyin Zeng, Yurong Liu, & Fuad E. Alsaadi. (2022). A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective. International Journal of Systems Science. 53(16). 3556–3576. 57 indexed citations

18.

Li, Han, Peishu Wu, Zidong Wang, et al.. (2022). A generalized framework of feature learning enhanced convolutional neural network for pathology-image-oriented cancer diagnosis. Computers in Biology and Medicine. 151(Pt A). 106265–106265. 43 indexed citations

19.

Li, Han, Nianyin Zeng, Peishu Wu, & Kathy Clawson. (2022). Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision. Expert Systems with Applications. 207. 118029–118029. 100 indexed citations

20.

Wu, Peishu, Han Li, Nianyin Zeng, & Fengping Li. (2021). FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public. Image and Vision Computing. 117. 104341–104341. 109 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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