Bin Song

4.1k total citations
215 papers, 2.8k citations indexed

About

Bin Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Bin Song has authored 215 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 49 papers in Electrical and Electronic Engineering. Recurrent topics in Bin Song's work include Sparse and Compressive Sensing Techniques (23 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Advanced Neural Network Applications (18 papers). Bin Song is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Advanced Neural Network Applications (18 papers). Bin Song collaborates with scholars based in China, United States and Qatar. Bin Song's co-authors include Xiaojiang Du, Mohsen Guizani, Jie Guo, Dan Wang, Xi Yang, Hao Qin, F. Richard Yu, Xinbo Gao, Nannan Wang and Nadra Guizani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Chemistry A and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Bin Song

194 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bin Song	944	840	815	602	374	215	2.8k
Bo Li	728 0.8×	771 0.9×	1.2k 1.5×	1.3k 2.2×	391 1.0×	224	3.8k
Li Erran Li	1.3k 1.3×	1.0k 1.2×	2.0k 2.5×	457 0.8×	334 0.9×	63	3.5k
Vaneet Aggarwal	1.5k 1.6×	615 0.7×	1.5k 1.8×	631 1.0×	246 0.7×	251	3.6k
Hao Jiang	779 0.8×	849 1.0×	1.2k 1.4×	600 1.0×	254 0.7×	230	3.0k
Bin Yu	713 0.8×	704 0.8×	731 0.9×	416 0.7×	122 0.3×	87	2.6k
Li Zhang	2.5k 2.6×	493 0.6×	2.7k 3.3×	606 1.0×	383 1.0×	348	5.0k
Yi Wu	1.0k 1.1×	1.1k 1.3×	444 0.5×	534 0.9×	458 1.2×	272	3.3k
Hayder Radha	928 1.0×	2.1k 2.5×	1.3k 1.6×	405 0.7×	296 0.8×	243	3.8k
Jie Yang	1.8k 1.9×	409 0.5×	558 0.7×	1.6k 2.6×	1.2k 3.1×	172	4.0k
Peng Li	724 0.8×	376 0.4×	550 0.7×	330 0.5×	191 0.5×	228	2.1k

Countries citing papers authored by Bin Song

Since Specialization

Citations

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

Fields of papers citing papers by Bin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Song

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

Jin, Zhiyu, et al.. (2025). The effects of cationic odd–even alkyl chains on the crystal structure and energetic properties of cyclo -N ₅ ⁻ salts. Journal of Materials Chemistry A. 13(20). 15189–15199.

Wang, Dan, et al.. (2024). RRA-FFSCIL: Inter-intra classes representation and relationship augmentation federated few-shot incremental learning. Neurocomputing. 597. 127956–127956. 2 indexed citations

Wang, Dan, et al.. (2024). A prototype-assisted clustered federated learning for big data security and privacy preservation. Future Generation Computer Systems. 161. 376–389. 2 indexed citations

Zhao, Mingming, et al.. (2024). Real-time freeway traffic state estimation for inhomogeneous traffic flow. Physica A Statistical Mechanics and its Applications. 639. 129633–129633. 1 indexed citations

Wang, Dan, et al.. (2024). HDHRFL: A hierarchical robust federated learning framework for dual-heterogeneous and noisy clients. Future Generation Computer Systems. 160. 185–196. 5 indexed citations

Guo, Jie, et al.. (2024). Multitask Fine-Grained Feature Mining for Multilabel Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations

Guo, Jie, et al.. (2024). SPACE: Self-Supervised Dual Preference Enhancing Network for Multimodal Recommendation. IEEE Transactions on Multimedia. 26. 8849–8859. 4 indexed citations

Xu, Kang, et al.. (2023). Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications. Neurocomputing. 545. 126267–126267. 6 indexed citations

Xu, Hang, et al.. (2023). An optimization framework with improved auction-based initialization for highly constrained on-orbit servicing mission planning. Applied Soft Computing. 149. 110983–110983. 3 indexed citations

10.

Xiao, Ke, et al.. (2023). Estimation of rolling bearing remaining useful life using DReLU-RA-ConvGRU model based on the encoder–decoder structure. Measurement Science and Technology. 35(3). 36001–36001. 1 indexed citations

11.

Guo, Jie, et al.. (2023). Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. 1816–1820. 11 indexed citations

12.

Guo, Jie, et al.. (2023). HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval. IEEE Transactions on Multimedia. 25. 9189–9202. 17 indexed citations

13.

Guo, Jie, et al.. (2022). Trust-aware Multi-task Knowledge Graph for Recommendation. IEEE Transactions on Knowledge and Data Engineering. 1–14. 8 indexed citations

14.

Yang, Meiyi, Lifeng Xu, Minghui Liu, et al.. (2022). CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma. Frontiers in Oncology. 12. 961779–961779. 8 indexed citations

15.

Yang, Xi, Ziyu Wei, Nannan Wang, Bin Song, & Xinbo Gao. (2020). A novel deformable body partition model for MMW suspicious object detection and dynamic tracking. Signal Processing. 174. 107627–107627. 17 indexed citations

16.

Yang, Xi, Tan Chen Wu, Lei Zhang, et al.. (2019). CNN with spatio-temporal information for fast suspicious object detection and recognition in THz security images. Signal Processing. 160. 202–214. 45 indexed citations

17.

Wang, Nannan, Xinbo Gao, Jie Li, Bin Song, & Zan Li. (2016). Evaluation on synthesized face sketches. Neurocomputing. 214. 991–1000. 15 indexed citations

18.

Song, Bin. (2014). Fault detection for chemical process based on LSNPE method. Huagong xuebao. 4 indexed citations

19.

Song, Bin. (2008). A fault diagnosis decision support system based on analytic hierarchy process. Engineering Journal of Wuhan University. 1 indexed citations

20.

Song, Bin. (2003). Application study on fault diagnosis of transformer by gray relational analysis. Dianli zidonghua shebei. 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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