Yongfeng Dong

805 total citations
50 papers, 494 citations indexed

About

Yongfeng Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yongfeng Dong has authored 50 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 9 papers in Control and Systems Engineering. Recurrent topics in Yongfeng Dong's work include Advanced Image and Video Retrieval Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Graph Neural Networks (4 papers). Yongfeng Dong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Graph Neural Networks (4 papers). Yongfeng Dong collaborates with scholars based in China, United Kingdom and United States. Yongfeng Dong's co-authors include Yingchun Guo, Gang Yan, Ye Zhu, Junhua Gu, Linhao Li, Liqin Wang, Jianxin Li, Yunliang Chen, Zhen Wang and Jie Song and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Yongfeng Dong

41 papers receiving 474 citations

Peers

Yongfeng Dong
Hafiz Adnan Habib Pakistan
Abdulaziz S. Almazyad Saudi Arabia
Tabassam Nawaz Pakistan
Jiazhang Wang United States
Sanjeev Sharma India
My Abdelouahed Sabri Morocco
Zhiyong Huang Singapore
Amin Shoukry Egypt
Jamal Riffi Morocco
Hafiz Adnan Habib Pakistan
Yongfeng Dong
Citations per year, relative to Yongfeng Dong Yongfeng Dong (= 1×) peers Hafiz Adnan Habib

Countries citing papers authored by Yongfeng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yongfeng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongfeng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yongfeng Dong. A scholar is included among the top collaborators of Yongfeng Dong 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 Yongfeng Dong. Yongfeng Dong 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.
Li, Yan, et al.. (2025). Feature aware-contrastive learning network for arbitrary-sized image steganalysis. Journal of Visual Communication and Image Representation. 111. 104525–104525.
2.
3.
Dong, Yongfeng, et al.. (2024). Attention Mechanism Based Joint Optimization Algorithm for Defect Detection. Journal of Computer-Aided Design & Computer Graphics. 36(1). 102–111.
4.
Dong, Yongfeng, et al.. (2024). CoDC: Accurate Learning with Noisy Labels via Disagreement and Consistency. Biomimetics. 9(2). 92–92. 3 indexed citations
5.
Liu, Jiao, et al.. (2024). A Frequency Domain Auxiliary Network for Image Retrieval. IEEE Signal Processing Letters. 31. 2425–2429.
6.
Wang, Liqin, et al.. (2024). Scene graph fusion and negative sample generation strategy for image-text matching. The Journal of Supercomputing. 81(1).
7.
Wang, Peng, Xiaoxiao Wang, Zhen Wang, & Yongfeng Dong. (2024). Learning Accurate Pseudo-Labels via Feature Similarity in the Presence of Label Noise. Applied Sciences. 14(7). 2759–2759. 3 indexed citations
8.
Liu, Yuxi, et al.. (2024). Multi-knowledge enhanced graph convolution for learning resource recommendation. Knowledge-Based Systems. 291. 111521–111521. 8 indexed citations
9.
Zhang, Jun, Simin Li, Yongfeng Dong, Bin Pan, & Zhenwei Shi. (2022). Hierarchical Similarity Alignment for Domain Adaptive Ship Detection in SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 20 indexed citations
10.
Dong, Yao, et al.. (2022). Deep learning methods may not outperform other machine learning methods on analyzing genomic studies. Frontiers in Genetics. 13. 992070–992070. 9 indexed citations
11.
Dong, Yongfeng, et al.. (2021). SA-CGAN: An oversampling method based on single attribute guided conditional GAN for multi-class imbalanced learning. Neurocomputing. 472. 326–337. 17 indexed citations
12.
Dong, Yongfeng, et al.. (2020). Sentiment classification method based on convolution attention mechanism. 41(1). 95–99. 2 indexed citations
13.
Dong, Yongfeng, et al.. (2020). A Sentiment Analysis Method of Capsule Network Based on BiLSTM. IEEE Access. 8. 37014–37020. 50 indexed citations
14.
Dong, Yongfeng, Yurong Jin, Zhiguang Li, Haipeng Ji, & Jing Liu. (2020). SCHEDULING OPTIMIZATION OF A WHEEL HUB PRODUCTION LINE BASED ON FLEXIBLE SCHEDULING. International journal of industrial engineering. 27(5). 2 indexed citations
15.
Dong, Yongfeng, et al.. (2014). Routing Optimization of Intelligent Vehicle in Automated Warehouse. Discrete Dynamics in Nature and Society. 2014. 1–14. 7 indexed citations
16.
Dong, Yongfeng, et al.. (2011). Implementation of genetic algorithm for TSP based on FPGA. 2226–2231. 4 indexed citations
17.
Dong, Yongfeng. (2010). Research on Campus Computer Network Security Issues and Solutions. 1 indexed citations
18.
Dong, Yongfeng, et al.. (2009). Application of a Self-Adaptive Canny Algorithm for Detecting Road Surface Distress Image. 354–357. 3 indexed citations
19.
Dong, Yongfeng, et al.. (2009). Automation Recognition of Pavement Surface Distress Based on Support Vector Machine. 346–349. 24 indexed citations
20.
Song, Jie, et al.. (2008). Research on Data Exchange Based on Data Binding. 624–627. 3 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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