Zhengyi Liu

2.5k total citations · 1 hit paper
77 papers, 1.6k citations indexed

About

Zhengyi Liu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Oncology. According to data from OpenAlex, Zhengyi Liu has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 12 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Zhengyi Liu's work include Visual Attention and Saliency Detection (19 papers), Advanced Neural Network Applications (17 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Zhengyi Liu is often cited by papers focused on Visual Attention and Saliency Detection (19 papers), Advanced Neural Network Applications (17 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Zhengyi Liu collaborates with scholars based in China, Sweden and United States. Zhengyi Liu's co-authors include Yacheng Tan, Qian He, Yun Xiao, Mauro Luberti, Stefano Brandani, Hyungwoong Ahn, Peng Zhao, Jinhuang Chen, Xiaogang Shu and Wenzheng Yuan and has published in prestigious journals such as PLoS ONE, British Journal of Cancer and Planta.

In The Last Decade

Zhengyi Liu

65 papers receiving 1.6k 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.

SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection

2021 248 citations Zhengyi Liu, Yacheng Tan et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhengyi Liu China	20	625	406	213	187	181	77	1.6k
Junchen Wang China	24	498 0.8×	673 1.7×	49 0.2×	392 2.1×	302 1.7×	144	2.2k
Yinlong Liu China	21	323 0.5×	506 1.2×	79 0.4×	149 0.8×	28 0.2×	80	1.6k
Yilei Chen China	22	811 1.3×	238 0.6×	44 0.2×	99 0.5×	41 0.2×	92	1.8k
Guodong Chen China	19	422 0.7×	161 0.4×	189 0.9×	29 0.2×	69 0.4×	149	1.2k
Xinhua Liu China	18	168 0.3×	285 0.7×	134 0.6×	115 0.6×	142 0.8×	95	1.3k
Miao Liao China	25	908 1.5×	269 0.7×	25 0.1×	111 0.6×	54 0.3×	102	1.6k
Yunan Li China	23	551 0.9×	175 0.4×	100 0.5×	35 0.2×	34 0.2×	94	1.7k
Xinyu Tian China	19	290 0.5×	160 0.4×	38 0.2×	63 0.3×	66 0.4×	59	1.3k
Tianye Li China	21	953 1.5×	447 1.1×	38 0.2×	211 1.1×	397 2.2×	55	2.3k

Countries citing papers authored by Zhengyi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Zhengyi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyi Liu. A scholar is included among the top collaborators of Zhengyi 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 Zhengyi Liu. Zhengyi 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, Zhengyi, et al.. (2025). SSFam: Scribble Supervised Salient Object Detection Family. IEEE Transactions on Multimedia. 27. 1988–2000. 5 indexed citations

Chen, Sheng, et al.. (2025). Causal association of blood metabolites, immune cells, and lung cancer: A mediation Mendelian randomization study. Medicine. 104(14). e42053–e42053.

Liu, Zhengyi, et al.. (2024). LFSamba: Marry SAM With Mamba for Light Field Salient Object Detection. IEEE Signal Processing Letters. 31. 3144–3148.

Liu, Zhengyi, et al.. (2024). ElderEase AR: Enhancing Elderly Daily Living with the Multimodal Large Language Model and Augmented Reality. 60–67.

Wang, Le, Fan Wang, Zhengyi Liu, et al.. (2023). A study of error correction method based on selective focus for curved rail profile measurement. Optics & Laser Technology. 169. 110124–110124. 4 indexed citations

Zhang, Lei, et al.. (2023). An Interactive Co-Evolutionary Framework for Multi-Objective Critical Node Detection on Large-Scale Complex Networks. IEEE Transactions on Network Science and Engineering. 10(3). 1722–1735. 9 indexed citations

Liu, Zhengyi, et al.. (2023). LFTransNet: Light Field Salient Object Detection via a Learnable Weight Descriptor. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7764–7773. 10 indexed citations

Fang, Xianyong, et al.. (2023). Sub-Band Based Attention for Robust Polyp Segmentation. 736–744. 4 indexed citations

Fang, Xianyong, et al.. (2023). Parallel matters: Efficient polyp segmentation with parallel structured feature augmentation modules. IET Image Processing. 17(8). 2503–2515. 3 indexed citations

10.

Fang, Xianyong, et al.. (2023). Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning. 5235–5243. 2 indexed citations

11.

Liu, Zhengyi, et al.. (2022). BGRDNet: RGB-D salient object detection with a bidirectional gated recurrent decoding network. Multimedia Tools and Applications. 81(18). 25519–25539. 3 indexed citations

12.

Liu, Zhengyi, Yuan Wang, Yacheng Tan, Wei Li, & Yun Xiao. (2022). AGRFNet: Two-stage cross-modal and multi-level attention gated recurrent fusion network for RGB-D saliency detection. Signal Processing Image Communication. 104. 116674–116674.

13.

Liu, Zhengyi, et al.. (2022). Dilated high-resolution network driven RGB-T multi-modal crowd counting. Signal Processing Image Communication. 112. 116915–116915. 9 indexed citations

14.

Liu, Zhengyi, et al.. (2022). Global-guided cross-reference network for co-salient object detection. Machine Vision and Applications. 33(5). 1 indexed citations

15.

Tang, Bin, Zhengyi Liu, Yacheng Tan, & Qian He. (2022). HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 33(2). 728–742. 83 indexed citations

16.

Liu, Zhengyi, Yacheng Tan, Qian He, & Yun Xiao. (2021). SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4486–4497. 248 indexed citations breakdown →

17.

Liu, Zhengyi, Bo Chang, & Fan Cheng. (2021). An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection. Swarm and Evolutionary Computation. 65. 100925–100925. 29 indexed citations

18.

Liu, Zhengyi, et al.. (2020). RGB-D Image Saliency Detection Based on Multi-modal Feature-fused Supervision. 电子与信息学报. 42(4). 997–1004. 1 indexed citations

19.

Liu, Zhengyi, et al.. (2020). Salient object detection for RGB-D images by generative adversarial network. Multimedia Tools and Applications. 79(35-36). 25403–25425. 11 indexed citations

20.

Liang, Ziwei, Mengdi Li, Zhengyi Liu, & Jianbo Wang. (2019). Genome-wide identification and characterization of the Hsp70 gene family in allopolyploid rapeseed ( Brassica napus L.) compared with its diploid progenitors. PeerJ. 7. e7511–e7511. 13 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.

Explore authors with similar magnitude of impact