Yuhao Wu

1.1k total citations · 1 hit paper
25 papers, 778 citations indexed

About

Yuhao Wu is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yuhao Wu has authored 25 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Yuhao Wu's work include Advanced Malware Detection Techniques (4 papers), Software Engineering Research (4 papers) and Network Security and Intrusion Detection (4 papers). Yuhao Wu is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Software Engineering Research (4 papers) and Network Security and Intrusion Detection (4 papers). Yuhao Wu collaborates with scholars based in China, Japan and Canada. Yuhao Wu's co-authors include Beibei Li, Jiarui Song, Rongxing Lu, Liang Zhao, Tao Li, Katsuro Inoue, Cor‐Paul Bezemer, Shaowei Wang, Fang Liu and Wei Lai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuzzy Sets and Systems and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Yuhao Wu

22 papers receiving 760 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.

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems

2020 410 citations Beibei Li, Yuhao Wu et al. IEEE Transactions on Industrial Informatics profile →

Peers

Yuhao Wu

AI

CNC

IS

SP

CSE

Rayford B. Vaughn United States

Andrea Stocco Italy

Péter Bertök Australia

Yu Lei United States

Christian Schallhart United Kingdom

Pavel Čeleda Czechia

Taolue Chen United Kingdom

Kevin A. Kwiat United States

Greg Gagne United States

Rayford B. Vaughn United States

Yuhao Wu

338 ×0.8

AI

536 ×1.5

CNC

440 ×1.9

IS

265 ×1.5

SP

213 ×1.5

CSE

Citations per year, relative to Yuhao Wu Yuhao Wu (= 1×) peers Rayford B. Vaughn

Countries citing papers authored by Yuhao Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yuhao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhao Wu

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

1.

Wang, Ziyi, et al.. (2025). Application of multidimensional gait feature fusion algorithm in gait assessment for patients with knee osteoarthritis. Frontiers in Bioengineering and Biotechnology. 13. 1645162–1645162.

2.

Wu, Yuhao, et al.. (2024). BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Frontiers of Computer Science. 18(3). 3 indexed citations

3.

Wu, Yuhao, et al.. (2023). Bitcoin Price Prediction Based on CNN-Bi-LSTM-Attention Model. Highlights in Business Economics and Management. 16. 80–86.

4.

Cao, Weipeng, et al.. (2023). A review on multimodal zero‐shot learning. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(2). 21 indexed citations

5.

Cao, Weipeng, Yuhao Wu, Chinmay Chakraborty, et al.. (2022). Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15784–15794. 18 indexed citations

6.

Cao, Weipeng, et al.. (2022). MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing. 510. 172–180. 19 indexed citations

7.

Wu, Yuhao, Weipeng Cao, Liu Ye, et al.. (2021). Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning. 12. 101–105. 4 indexed citations

8.

Wu, Yuhao & Chia‐Hui Chang. (2021). Multi-Task Neural Sequence Labeling for Zero-Shot Cross-Language Boilerplate Removal.

9.

Wu, Yuhao. (2021). Identification of Maize Leaf Diseases based on Convolutional Neural Network. Journal of Physics Conference Series. 1748(3). 32004–32004. 18 indexed citations

10.

Wu, Yuhao. (2020). Model Parameter Calibration in Power Systems. ScholarWorks -A service of University of Vermont Libraries (University of Vermont). 2 indexed citations

11.

Li, Beibei, Yuhao Wu, Jiarui Song, et al.. (2020). DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems. IEEE Transactions on Industrial Informatics. 17(8). 5615–5624. 410 indexed citations breakdown →

12.

Li, Beibei, et al.. (2020). Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems. SHILAP Revista de lepidopterología. 1. 250–261. 10 indexed citations

13.

Wu, Yuhao, et al.. (2020). A novel framework for detecting social bots with deep neural networks and active learning. Knowledge-Based Systems. 211. 106525–106525. 62 indexed citations

14.

Wu, Jinjian, et al.. (2020). Perceptual Sensitivity Based Image Structure-Texture Decomposition. 1 indexed citations

15.

Liu, Fang, et al.. (2019). A consensus model for group decision making under additive reciprocal matrices with flexibility. Fuzzy Sets and Systems. 398. 61–77. 18 indexed citations

16.

Liu, Fang, et al.. (2018). A group decision making model based on triangular fuzzy additive reciprocal matrices with additive approximation-consistency. Applied Soft Computing. 65. 349–359. 30 indexed citations

17.

Liu, Fang, Yuhao Wu, Jiawei Zhang, & Qin Yu. (2018). A PSO-based group decision making model with multiplicative reciprocal matrices under flexibility. Soft Computing. 23(21). 10901–10910. 15 indexed citations

18.

Liu, Xia, Yuhao Wu, & Bo Wang. (2017). Spinal CT image segmentation based on level set method. 10956–10961. 2 indexed citations

19.

Wu, Yuhao, et al.. (2016). Analysis of license inconsistency in large collections of open source projects. Empirical Software Engineering. 22(3). 1194–1222. 16 indexed citations

20.

Wu, Yuhao, et al.. (2015). A Method to Detect License Inconsistencies in Large-Scale Open Source Projects. 324–333. 21 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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