Cong Liu

1.8k total citations
73 papers, 1.0k citations indexed

About

Cong Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Cong Liu has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 14 papers in Computer Networks and Communications. Recurrent topics in Cong Liu's work include Parallel Computing and Optimization Techniques (9 papers), Advanced Neural Network Applications (7 papers) and Music and Audio Processing (7 papers). Cong Liu is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Advanced Neural Network Applications (7 papers) and Music and Audio Processing (7 papers). Cong Liu collaborates with scholars based in China, United States and Canada. Cong Liu's co-authors include Jianshu Zhang, Da Li, Yi-Zhe Song, Yongxin Yang, Timothy M. Hospedales, Jie Wu, Liusheng Huang, Yunsheng Wang, Mingjun Xiao and Hui Jiang and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Software Engineering.

In The Last Decade

Cong Liu

66 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cong Liu China	17	431	335	193	128	111	73	1.0k
Zongqing Lu China	19	259 0.6×	261 0.8×	391 2.0×	200 1.6×	45 0.4×	77	1.1k
Divya Saxena India	15	282 0.7×	190 0.6×	450 2.3×	176 1.4×	17 0.2×	45	1.1k
Aston Zhang United States	16	550 1.3×	547 1.6×	269 1.4×	212 1.7×	46 0.4×	33	1.2k
Tao Huang China	17	365 0.8×	240 0.7×	133 0.7×	50 0.4×	219 2.0×	88	1.0k
Jingjing Li China	13	507 1.2×	139 0.4×	186 1.0×	141 1.1×	10 0.1×	54	1.1k
Artem Katasonov Finland	10	197 0.5×	180 0.5×	245 1.3×	60 0.5×	29 0.3×	27	837
Galip Aydın Türkiye	17	365 0.8×	225 0.7×	154 0.8×	47 0.4×	14 0.1×	45	1.2k
Yan Shen China	15	301 0.7×	493 1.5×	43 0.2×	82 0.6×	15 0.1×	77	1.1k
Lu Ou China	17	518 1.2×	87 0.3×	245 1.3×	109 0.9×	58 0.5×	62	965
Gang Fu China	15	405 0.9×	533 1.6×	127 0.7×	57 0.4×	12 0.1×	64	1.2k

Countries citing papers authored by Cong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Cong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Liu

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

Li, Dawei, T. Chen, Cong Liu, et al.. (2025). Semi-supervised GAN for enhancing electrocardiogram time series diagnostics. Biomedical Signal Processing and Control. 110. 108058–108058.

Li, Huiling, et al.. (2025). Sampling-Based Next-Event Prediction for Wind-Turbine Maintenance Processes. Energies. 18(16). 4238–4238.

He, Yiting, et al.. (2024). Enhancing Vibration Detection in ϕ-OTDR Through Image Coding and Deep Learning-Driven Feature Recognition. IEEE Sensors Journal. 24(22). 38344–38351. 7 indexed citations

Du, Jun, et al.. (2024). SEMv2: Table separation line detection based on instance segmentation. Pattern Recognition. 149. 110279–110279. 5 indexed citations

Liu, Cong, et al.. (2024). Enforcing Correctness of Collaborative Business Processes Using Plans. IEEE Transactions on Software Engineering. 50(9). 2313–2336.

Liu, Cong, et al.. (2024). Sampling business process event logs with guarantees. Concurrency and Computation Practice and Experience. 36(13). 3 indexed citations

Huang, Yifeng, et al.. (2021). Cost-aware job scheduling for cloud instances using deep reinforcement learning. Cluster Computing. 25(1). 619–631. 59 indexed citations

Wang, Lei, et al.. (2021). The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network. Journal of Advanced Transportation. 2021. 1–10. 3 indexed citations

Wang, Lei, et al.. (2020). An Image Denoising Method Based on BM4D and GAN in 3D Shearlet Domain. Mathematical Problems in Engineering. 2020. 1–11. 6 indexed citations

10.

Wang, Jun, Cong Liu, Yuquan Wang, et al.. (2020). Enhanced visible-light photocatalytic performance of cadmium sulfide film via annealing treatment. SN Applied Sciences. 2(12). 1 indexed citations

11.

Peng, Dunlu, et al.. (2020). BG-SAC: Entity relationship classification model based on Self-Attention supported Capsule Networks. Applied Soft Computing. 91. 106186–106186. 17 indexed citations

12.

Liu, Tong, et al.. (2020). Business process remaining time prediction using bidirectional recurrent neural networks with attention. 26(6). 1564–1572. 2 indexed citations

13.

Liu, Cong, et al.. (2020). ILFO: Adversarial Attack on Adaptive Neural Networks. 14252–14261. 19 indexed citations

14.

Zhang, Feng, et al.. (2020). Flowchart-Based Cross-Language Source Code Similarity Detection. Scientific Programming. 2020. 1–15. 3 indexed citations

15.

Li, Da, Jianshu Zhang, Yongxin Yang, et al.. (2019). Episodic Training for Domain Generalization. Edinburgh Research Explorer. 1446–1455. 243 indexed citations

16.

Bateni, Soroush, et al.. (2018). PredJoule: A Timing-Predictable Energy Optimization Framework for Deep Neural Networks. 107–118. 31 indexed citations

17.

Liu, Cong, et al.. (2016). Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention. International Conference on Computational Linguistics. 1254–1263. 36 indexed citations

18.

Liu, Cong. (2014). Adaptive sliding-mode observer for actuator fault reconstruction in nonlinear system with mismatched uncertainties. Control theory & applications. 4 indexed citations

19.

Lai, Xin, et al.. (2012). A Cache Coherence Protocol Using Distributed Data Dependence Violation Checking in TLS. 5–10. 1 indexed citations

20.

Liu, Cong. (2012). Fault Diagnose of Rotating Rectifier Based on EMD and LS-SVM. Micromotors.

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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