Cong Liu

2.7k total citations · 1 hit paper
61 papers, 1.6k citations indexed

About

Cong Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Cong Liu has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Cong Liu's work include Optical measurement and interference techniques (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Image Processing Techniques and Applications (6 papers). Cong Liu is often cited by papers focused on Optical measurement and interference techniques (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Image Processing Techniques and Applications (6 papers). Cong Liu collaborates with scholars based in China, United States and Singapore. Cong Liu's co-authors include Yan Pan, Hanjiang Lai, Shuicheng Yan, Soroush Bateni, Jianhui Wang, Wenzhong Gao, Di Xiao, Xingbin Liu, Husheng Zhou and Ranchao Wu and has published in prestigious journals such as Advanced Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Cong Liu

59 papers receiving 1.5k 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.

Supervised Hashing for Image Retrieval via Image Representation Learning

2014 653 citations Cong Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cong Liu China	19	1.0k	369	166	155	93	61	1.6k
Camel Tanougast France	23	838 0.8×	477 1.3×	278 1.7×	218 1.4×	42 0.5×	154	1.8k
Gang Qian United States	18	749 0.7×	273 0.7×	102 0.6×	90 0.6×	105 1.1×	76	1.4k
Peizhao Zhang United States	14	1.4k 1.4×	825 2.2×	224 1.3×	75 0.5×	138 1.5×	28	1.9k
Xin Jin China	23	1.1k 1.1×	345 0.9×	68 0.4×	161 1.0×	37 0.4×	166	1.7k
Stephen Tyree United States	16	947 0.9×	529 1.4×	112 0.7×	70 0.5×	161 1.7×	25	1.5k
Yuandong Tian United States	20	1.4k 1.4×	888 2.4×	185 1.1×	74 0.5×	41 0.4×	47	1.9k
Mineichi Kudo Japan	18	611 0.6×	734 2.0×	131 0.8×	109 0.7×	121 1.3×	111	1.7k
Mohamed Batouche Algeria	18	367 0.4×	475 1.3×	85 0.5×	124 0.8×	78 0.8×	116	1.2k
Jicong Fan China	20	433 0.4×	371 1.0×	107 0.6×	96 0.6×	345 3.7×	65	1.3k

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

Liu, Cong, et al.. (2025). Combined enriched environment and fluoxetine enhance myelin protein expression in the prefrontal cortex of a chronic unpredictable stress depression model. Behavioral and Brain Functions. 21(1). 16–16. 1 indexed citations

Wang, Qingxin, Zhongqiu Wang, Minghua Li, et al.. (2025). A feasibility study of automating radiotherapy planning with large language model agents. Physics in Medicine and Biology. 70(7). 75007–75007. 7 indexed citations

Zhang, Jing, Juhua Liu, Baocai Yin, et al.. (2024). Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1431–1447. 3 indexed citations

Zhang, Zhonghua, Cong Liu, Xiaoming Zhou, & Xin Zhang. (2023). The Critical Role of Sirt1 in Subarachnoid Hemorrhages: Mechanism and Therapeutic Considerations. Brain Sciences. 13(4). 674–674. 4 indexed citations

Ye, Ding, Qun Lü, Yangqian Jiang, et al.. (2022). Associations of maternal dietary patterns during pregnancy and fetal intrauterine development. Frontiers in Nutrition. 9. 985665–985665. 4 indexed citations

Liu, Cong, Yan Zhang, & Hang Chen. (2022). Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer. Annals of Translational Medicine. 10(6). 337–337. 5 indexed citations

Liu, Cong, et al.. (2022). Privacy Preservation Learning with Deep Cooperative Method for Multimedia Data Analysis. Security and Communication Networks. 2022. 1–10. 3 indexed citations

Xu, Yao‐Wei, Liqin Zhao, Cong Liu, et al.. (2021). Enriched environment mitigates depressive behavior by changing the inflammatory activation phenotype of microglia in the hippocampus of depression model rats. Brain Research Bulletin. 177. 252–262. 24 indexed citations

Sun, Jiawei, Cong Liu, Chunying Li, et al.. (2021). CrossModalNet: exploiting quality preoperative images for multimodal image registration. Physics in Medicine and Biology. 66(17). 175002–175002. 2 indexed citations

10.

Liu, Cong, Dengwang Li, & Pu Huang. (2021). ISE-YOLO: Improved Squeeze-and-Excitation Attention Module based YOLO for Blood Cells Detection. 2021 IEEE International Conference on Big Data (Big Data). 3911–3916. 23 indexed citations

11.

Duan, Weixia, Ping Deng, Huijuan Li, et al.. (2021). Cadmium disrupts mitochondrial distribution and activates excessive mitochondrial fission by elevating cytosolic calcium independent of MCU-mediated mitochondrial calcium uptake in its neurotoxicity. Toxicology. 453. 152726–152726. 28 indexed citations

12.

Xu, Xiaobin, Lei Zhang, Jian Yang, et al.. (2021). LiDAR–camera calibration method based on ranging statistical characteristics and improved RANSAC algorithm. Robotics and Autonomous Systems. 141. 103776–103776. 17 indexed citations

13.

Zhao, Jieyu, et al.. (2020). Deep Neural Network with Joint Distribution Matching for Cross‐Subject Motor Imagery Brain‐Computer Interfaces. BioMed Research International. 2020(1). 7285057–7285057. 21 indexed citations

14.

Zhang, Yuan‐Ting, Zhiming Lu, Yajuan Shen, et al.. (2020). Hybrid adversarial‐discriminative network for leukocyte classification in leukemia. Medical Physics. 47(8). 3732–3744. 24 indexed citations

15.

Yu, Shanshan, et al.. (2019). Error estimation of 3D reconstruction in 3D digital image correlation. Measurement Science and Technology. 30(2). 25204–25204. 28 indexed citations

16.

Liu, Xingbin, Di Xiao, Wei Huang, & Cong Liu. (2019). Quantum Block Image Encryption Based on Arnold Transform and Sine Chaotification Model. IEEE Access. 7. 57188–57199. 44 indexed citations

17.

Liu, Feng, et al.. (2018). Zero Watermarking Scheme Based on U and V Matrices of Quaternion Singular Value Decomposition for Color Images.. J. Inf. Hiding Multim. Signal Process.. 9. 629–640. 3 indexed citations

18.

Bateni, Soroush & Cong Liu. (2018). ApNet: Approximation-Aware Real-Time Neural Network. 67–79. 46 indexed citations

19.

Liu, Cong, et al.. (2017). Enriched environment combined with fluoxetine ameliorates depression-like behaviors and hippocampal SYP expression in a rat CUS model. Brain Research Bulletin. 135. 33–39. 27 indexed citations

20.

Liu, Yuchuan, Cong Liu, Xia Zhang, et al.. (2015). A Computation Offloading Framework for Soft Real-Time Embedded Systems. 129–138. 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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