Gongyang Li

2.2k total citations · 2 hit papers
43 papers, 1.4k citations indexed

About

Gongyang Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Gongyang Li has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Gongyang Li's work include Visual Attention and Saliency Detection (31 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Advanced Neural Network Applications (14 papers). Gongyang Li is often cited by papers focused on Visual Attention and Saliency Detection (31 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Advanced Neural Network Applications (14 papers). Gongyang Li collaborates with scholars based in China, Singapore and Canada. Gongyang Li's co-authors include Zhi Liu, Haibin Ling, Weisi Lin, Zhen Bai, Xinpeng Zhang, Dan Zeng, Yike Wang, Minyu Chen, Yang Wang and Xiaofei Zhou and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.

In The Last Decade

Gongyang Li

42 papers receiving 1.4k citations

Hit Papers

Hierarchical Alternate Interaction Network for RGB-D Sali... 2021 2026 2022 2024 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gongyang Li China 17 1.2k 456 270 176 135 43 1.4k
Xiaofei Zhou China 20 1.1k 0.9× 294 0.6× 196 0.7× 200 1.1× 78 0.6× 84 1.3k
Yongri Piao China 20 1.7k 1.4× 321 0.7× 194 0.7× 59 0.3× 332 2.5× 29 1.8k
Lingxiao Yang China 9 854 0.7× 160 0.4× 104 0.4× 96 0.5× 81 0.6× 23 1.2k
Youwei Pang China 7 961 0.8× 174 0.4× 135 0.5× 51 0.3× 137 1.0× 15 1.1k
Michael Donoser Austria 16 1000 0.8× 126 0.3× 206 0.8× 58 0.3× 53 0.4× 60 1.3k
Eleonora Vig Germany 13 984 0.8× 115 0.3× 187 0.7× 29 0.2× 159 1.2× 24 1.2k
Junjie Cao China 21 743 0.6× 125 0.3× 77 0.3× 173 1.0× 30 0.2× 76 1.3k
Nianchang Huang China 14 893 0.7× 156 0.3× 157 0.6× 44 0.3× 76 0.6× 20 986
Jinqing Qi China 12 891 0.7× 120 0.3× 70 0.3× 42 0.2× 178 1.3× 27 983

Countries citing papers authored by Gongyang Li

Since Specialization
Citations

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

Fields of papers citing papers by Gongyang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gongyang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gongyang Li. A scholar is included among the top collaborators of Gongyang Li 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 Gongyang Li. Gongyang Li 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.
Zhao, K. X., et al.. (2025). MOFNet: Memory Optimization Fusion Network for Query-Focused Video Summarization. IEEE Sensors Journal. 25(14). 27642–27652. 1 indexed citations
2.
Liu, Zhi, et al.. (2025). Few-shot fine-tuning with auxiliary tasks for video anomaly detection. Multimedia Systems. 31(2). 1 indexed citations
3.
He, Zhihao, Gongyang Li, & Zhi Liu. (2025). RGB-D Rail Surface Defect Inspection Driven by Conditional Diffusion Architecture and Frequency Knowledge. IEEE Sensors Journal. 25(10). 18334–18343. 2 indexed citations
4.
Liu, Zhi, et al.. (2024). Audio-visual saliency prediction with multisensory perception and integration. Image and Vision Computing. 143. 104955–104955. 4 indexed citations
5.
Li, Gongyang, et al.. (2024). Masked feature regeneration based asymmetric student–teacher network for anomaly detection. Multimedia Tools and Applications. 83(42). 90573–90594. 1 indexed citations
6.
Liu, Zhi, Gongyang Li, Jiawei Xie, et al.. (2024). EMS: A Large-Scale Eye Movement Dataset, Benchmark, and New Model for Schizophrenia Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9451–9462. 2 indexed citations
7.
Wang, Yike, et al.. (2024). Hybrid Modeling Based Semantic Segmentation of Forward-Looking Sonar Images. IEEE Journal of Oceanic Engineering. 50(1). 380–393. 1 indexed citations
8.
Liu, Zhi, et al.. (2024). Context-Aware Interaction Network for RGB-T Semantic Segmentation. IEEE Transactions on Multimedia. 26. 6348–6360. 37 indexed citations
9.
Chen, Yilei, Gongyang Li, Ping An, et al.. (2023). Light Field Salient Object Detection With Sparse Views via Complementary and Discriminative Interaction Network. IEEE Transactions on Circuits and Systems for Video Technology. 34(2). 1070–1085. 16 indexed citations
10.
Bai, Zhen, Gongyang Li, & Zhi Liu. (2023). Global–local–global context-aware network for salient object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing. 198. 184–196. 24 indexed citations
11.
Wang, Yike, Gongyang Li, & Zhi Liu. (2023). SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7737–7748. 39 indexed citations
12.
Li, Gongyang, et al.. (2023). No-Service Rail Surface Defect Segmentation via Normalized Attention and Dual-Scale Interaction. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 12 indexed citations
13.
Li, Gongyang, Zhen Bai, & Zhi Liu. (2023). Texture-Semantic Collaboration Network for ORSI Salient Object Detection. IEEE Transactions on Circuits & Systems II Express Briefs. 71(4). 2464–2468. 12 indexed citations
14.
Chen, Jianlin, Gongyang Li, Zhijiang Zhang, & Dan Zeng. (2023). EFDCNet: Encoding fusion and decoding correction network for RGB-D indoor semantic segmentation. Image and Vision Computing. 142. 104892–104892. 8 indexed citations
15.
Li, Gongyang, Zhi Liu, Zhen Bai, Weisi Lin, & Haibin Ling. (2022). Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 99 indexed citations
16.
Wu, Yong, et al.. (2022). Gaze Estimation via Modulation-Based Adaptive Network With Auxiliary Self-Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5510–5520. 17 indexed citations
17.
Bai, Zhen, Zhi Liu, Gongyang Li, Linwei Ye, & Yang Wang. (2021). Circular Complement Network for RGB-D Salient Object Detection. Neurocomputing. 451. 95–106. 12 indexed citations
18.
Shi, Ran, et al.. (2021). Fixations based personal target objects segmentation. 1. 1–7. 1 indexed citations
19.
Shi, Ran, et al.. (2021). Personalized image observation behavior learning in fixation based personalized salient object segmentation. Neurocomputing. 445. 255–266. 3 indexed citations
20.
Li, Gongyang, Zhi Liu, & Xiaofei Zhou. (2019). Effective online refinement for video object segmentation. Multimedia Tools and Applications. 78(23). 33617–33631. 2 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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