Chengdong Wu

3.6k total citations
322 papers, 2.6k citations indexed

About

Chengdong Wu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Chengdong Wu has authored 322 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Computer Vision and Pattern Recognition, 86 papers in Electrical and Electronic Engineering and 64 papers in Computer Networks and Communications. Recurrent topics in Chengdong Wu's work include Indoor and Outdoor Localization Technologies (52 papers), Energy Efficient Wireless Sensor Networks (52 papers) and Robotics and Sensor-Based Localization (38 papers). Chengdong Wu is often cited by papers focused on Indoor and Outdoor Localization Technologies (52 papers), Energy Efficient Wireless Sensor Networks (52 papers) and Robotics and Sensor-Based Localization (38 papers). Chengdong Wu collaborates with scholars based in China, United States and Australia. Chengdong Wu's co-authors include Yunzhou Zhang, Long Cheng, Sonya Coleman, Xiaosheng Yu, Dermot Kerr, Ziang Zhang, Jianning Chi, Hao Wu, Peng Ji and Hao Chu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Chengdong Wu

292 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengdong Wu China 22 817 750 571 440 396 322 2.6k
Bin Yang Germany 28 470 0.6× 916 1.2× 209 0.4× 603 1.4× 127 0.3× 196 3.1k
Mohamed Atri Tunisia 24 1.6k 2.0× 458 0.6× 352 0.6× 590 1.3× 96 0.2× 165 2.8k
Linga Reddy Cenkeramaddi Norway 27 395 0.5× 642 0.9× 316 0.6× 393 0.9× 82 0.2× 201 2.1k
Arash Mohammadi Canada 28 366 0.4× 522 0.7× 704 1.2× 869 2.0× 116 0.3× 193 2.7k
Mai Xu China 40 3.5k 4.3× 857 1.1× 217 0.4× 509 1.2× 364 0.9× 214 5.6k
Feng Jiang China 31 1.5k 1.8× 341 0.5× 322 0.6× 787 1.8× 95 0.2× 205 3.8k
Zulin Wang China 27 1.8k 2.2× 488 0.7× 319 0.6× 351 0.8× 201 0.5× 151 3.0k
Dong Seog Han South Korea 27 961 1.2× 1.2k 1.6× 419 0.7× 633 1.4× 316 0.8× 186 2.8k
Moongu Jeon South Korea 35 1.7k 2.1× 1.1k 1.4× 243 0.4× 1.1k 2.4× 82 0.2× 222 4.2k
M. Ani Hsieh United States 25 417 0.5× 131 0.2× 786 1.4× 383 0.9× 195 0.5× 130 2.0k

Countries citing papers authored by Chengdong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chengdong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengdong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengdong Wu. A scholar is included among the top collaborators of Chengdong 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 Chengdong Wu. Chengdong Wu 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.
Yu, Xiaosheng, et al.. (2025). Deep Fourier-embedded Network for RGB and Thermal Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.
2.
Yu, Xiaosheng, et al.. (2025). Efficient Fourier Filtering Network With Contrastive Learning for AAV-Based Unaligned Bimodal Salient Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 1 indexed citations
3.
Yu, Xiaosheng, et al.. (2025). TwinsTNet: Broad-View Twins Transformer Network for Bi-Modal Salient Object Detection. IEEE Transactions on Image Processing. 34. 2796–2810. 2 indexed citations
4.
Chi, Jianning, Zhao Jin, Siqi Wang, Xiaosheng Yu, & Chengdong Wu. (2024). LGDNet: local feature coupling global representations network for pulmonary nodules detection. Medical & Biological Engineering & Computing. 62(7). 1991–2004. 5 indexed citations
5.
Yu, Xiaosheng, et al.. (2024). Modalities Guided Latent Diffusion Model for Brain MRI Synthesis. 4440–4444. 1 indexed citations
6.
Li, Li, et al.. (2024). PC-FusionMap: A Novel Point Cloud Generation and Multimodal Fusion Approach for HD Map Construction. IEEE Transactions on Intelligent Vehicles. 10(12). 5112–5125. 1 indexed citations
7.
Li, Li, et al.. (2024). MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping With Depth Smooth Regularization. IEEE Robotics and Automation Letters. 9(11). 9486–9493. 7 indexed citations
8.
Li, Li, et al.. (2023). Amos-SLAM: An Anti-Dynamics Two-Stage RGB-D SLAM Approach. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 14 indexed citations
9.
Yu, Xiaosheng, et al.. (2022). An Efficient Hierarchical Optic Disc and Cup Segmentation Network Combined with Multi-task Learning and Adversarial Learning. Journal of Digital Imaging. 35(3). 638–653. 6 indexed citations
10.
Xia, Kai, Jianning Chi, Yuan Gao, Yang Jiang, & Chengdong Wu. (2021). Adaptive Aggregated Attention Network for Pulmonary Nodule Classification. Applied Sciences. 11(2). 610–610. 21 indexed citations
11.
Li, Yuhan, et al.. (2021). A Multi-AUV Path Planning System Based on the Omni-Directional Sensing Ability. Journal of Marine Science and Engineering. 9(8). 806–806. 18 indexed citations
12.
Shen, Jie, et al.. (2020). Affine Geometrical Region CNN for Object Tracking. IEEE Access. 8. 68638–68648. 7 indexed citations
13.
Wang, Shuai, et al.. (2019). Sunshine-Based Trajectory Simplification. IEEE Access. 7. 47781–47793. 2 indexed citations
14.
Shen, Jie, et al.. (2019). Robust Object Tracking Using Affine Transformation and Convolutional Features. IEEE Access. 7. 182489–182498. 2 indexed citations
15.
Si, Pengju, Chengdong Wu, Yunzhou Zhang, et al.. (2017). Barrier Coverage for 3D Camera Sensor Networks. Sensors. 17(8). 1771–1771. 14 indexed citations
16.
17.
Wei, Yangjie & Chengdong Wu. (2014). Modeling of Hysteresis Behavior for Micro/Nano Piezoelectric Actuator. Journal of Northeastern University. 35(2). 166. 1 indexed citations
18.
Wu, Chengdong. (2009). Pattern recognition algorithm for license plate characterbased on multilevel network. Jisuanji yingyong yanjiu. 2 indexed citations
19.
Wu, Chengdong. (2006). Approach to Data Mining Based on Rough Sets and Decision Tree. Journal of Northeastern University. 3 indexed citations
20.
Wu, Chengdong. (2002). Application of neural networks in the veneer inspection system. Control theory & applications. 1 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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