Lianli Gao

9.6k total citations · 1 hit paper
185 papers, 5.7k citations indexed

About

Lianli Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lianli Gao has authored 185 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Computer Vision and Pattern Recognition, 79 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Lianli Gao's work include Multimodal Machine Learning Applications (90 papers), Advanced Image and Video Retrieval Techniques (78 papers) and Human Pose and Action Recognition (48 papers). Lianli Gao is often cited by papers focused on Multimodal Machine Learning Applications (90 papers), Advanced Image and Video Retrieval Techniques (78 papers) and Human Pose and Action Recognition (48 papers). Lianli Gao collaborates with scholars based in China, Australia and United States. Lianli Gao's co-authors include Jingkuan Song, Heng Tao Shen, Xing Xu, Xuanhan Wang, Xiangpeng Li, Hanwang Zhang, Zhao Guo, Pengpeng Zeng, Xianglong Liu and Nicu Sebe and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Lianli Gao

180 papers receiving 5.6k 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.

Video Captioning With Attention-Based LSTM and Semantic Consistency

2017 478 citations Lianli Gao, Xing Xu et al. IEEE Transactions on Multimedia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lianli Gao China	38	4.4k	2.3k	268	265	242	185	5.7k
Liefeng Bo United States	39	3.9k 0.9×	1.9k 0.8×	377 1.4×	273 1.0×	472 2.0×	79	5.9k
Mehrtash Harandi Australia	32	2.3k 0.5×	1.6k 0.7×	304 1.1×	206 0.8×	364 1.5×	147	3.6k
Dong Huang China	38	2.7k 0.6×	2.2k 0.9×	142 0.5×	275 1.0×	445 1.8×	175	4.6k
François Fleuret Switzerland	29	3.2k 0.7×	1.5k 0.6×	232 0.9×	224 0.8×	207 0.9×	93	4.3k
Sicheng Zhao China	40	3.2k 0.7×	2.2k 1.0×	182 0.7×	365 1.4×	234 1.0×	162	5.6k
Weiyao Lin China	32	3.6k 0.8×	1.8k 0.8×	245 0.9×	502 1.9×	297 1.2×	166	4.5k
Lei Zhu China	42	4.2k 1.0×	2.8k 1.2×	159 0.6×	213 0.8×	439 1.8×	206	6.3k
Alexandros Iosifidis Denmark	35	2.0k 0.4×	1.7k 0.7×	395 1.5×	403 1.5×	227 0.9×	230	4.4k
Adam Coates United States	17	2.5k 0.6×	2.0k 0.9×	189 0.7×	404 1.5×	507 2.1×	27	4.4k
Yi-Zhe Song United Kingdom	38	4.3k 1.0×	1.8k 0.8×	212 0.8×	187 0.7×	278 1.1×	164	5.5k

Countries citing papers authored by Lianli Gao

Since Specialization

Citations

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

Fields of papers citing papers by Lianli Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianli Gao

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

Gao, Lianli, et al.. (2025). Multi-Concept Learning for Scene Graph Generation. IEEE Transactions on Image Processing. 34. 3253–3267.

Gao, Lianli, Yuyu Guo, Yuxuan Hu, et al.. (2025). Informative Scene Graph Generation via Debiasing. International Journal of Computer Vision. 133(7). 4196–4219. 1 indexed citations

Zeng, Pengpeng, et al.. (2025). Staircase Sign Method: Boosting adversarial attacks by mitigating gradient distortion. Pattern Recognition. 170. 111983–111983.

Wang, Zhixing, et al.. (2025). DSTrack: Diffusion-based sequence learning for visual object tracking. Pattern Recognition. 168. 111694–111694.

Liu, Jianzhi, et al.. (2024). F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4961–4969. 3 indexed citations

Yang, Huan, Wenjing Wang, Wen-Huang Cheng, et al.. (2023). MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images. 9313–9319. 14 indexed citations

Wang, Xuanhan, et al.. (2023). End-To-End Part-Level Action Parsing With Transformer. 756–761. 1 indexed citations

Zheng, Feng, et al.. (2023). Allowing Supervision in Unsupervised Deformable- Instances Image-to-Image Translation. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5335–5349. 2 indexed citations

Gao, Lianli, et al.. (2023). Utilizing Greedy Nature for Multimodal Conditional Image Synthesis in Transformers. IEEE Transactions on Multimedia. 26. 2354–2366. 5 indexed citations

10.

Yang, Huan, Wenjing Wang, Wen-Huang Cheng, et al.. (2023). MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text. 9371–9373. 4 indexed citations

11.

He, Tao, Lianli Gao, Jingkuan Song, & Yuan-Fang Li. (2023). Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation. Information Sciences. 629. 520–532. 3 indexed citations

12.

Gao, Lianli, et al.. (2022). From External to Internal: Structuring Image for Text-to-Image Attributes Manipulation. IEEE Transactions on Multimedia. 25. 7248–7261. 4 indexed citations

13.

Gao, Lianli, Jingkuan Song, Yuan-Fang Li, et al.. (2022). Label-Guided Generative Adversarial Network for Realistic Image Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 3311–3328. 15 indexed citations

14.

Li, Junlin, et al.. (2022). Heterogeneous Knowledge Network for Visual Dialog. IEEE Transactions on Circuits and Systems for Video Technology. 33(2). 861–871. 12 indexed citations

15.

Guo, Yuyu, Lianli Gao, Jingkuan Song, et al.. (2021). Relation Regularized Scene Graph Generation. IEEE Transactions on Cybernetics. 52(7). 5961–5972. 12 indexed citations

16.

Wu, Lirong, Kejie Huang, Haibin Shen, & Lianli Gao. (2020). Foreground-Background Parallel Compression With Residual Encoding for Surveillance Video. IEEE Transactions on Circuits and Systems for Video Technology. 31(7). 2711–2724. 20 indexed citations

17.

Xu, Xing, et al.. (2020). Learning Cross-Modal Common Representations by Private–Shared Subspaces Separation. IEEE Transactions on Cybernetics. 52(5). 3261–3275. 35 indexed citations

18.

Sorg, Christian, Changgang Zheng, Qinli Yang, et al.. (2019). Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder. NeuroImage Clinical. 22. 101725–101725. 22 indexed citations

19.

Song, Jingkuan, Yuyu Guo, Lianli Gao, et al.. (2018). From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 3047–3058. 206 indexed citations

20.

Gao, Lianli, et al.. (2013). Semantic-based detection of segment outliers and unusual events for wireless sensor networks. Queensland's institutional digital repository (The University of Queensland). 127–144. 6 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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