Liang Li

8.8k total citations · 4 hit papers
291 papers, 4.8k citations indexed

About

Liang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Liang Li has authored 291 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Computer Vision and Pattern Recognition, 82 papers in Artificial Intelligence and 40 papers in Computer Networks and Communications. Recurrent topics in Liang Li's work include Advanced Image and Video Retrieval Techniques (50 papers), Multimodal Machine Learning Applications (38 papers) and Domain Adaptation and Few-Shot Learning (23 papers). Liang Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (50 papers), Multimodal Machine Learning Applications (38 papers) and Domain Adaptation and Few-Shot Learning (23 papers). Liang Li collaborates with scholars based in China, United States and United Kingdom. Liang Li's co-authors include Qingming Huang, Chenggang Yan, Shuhui Wang, Zheng-Jun Zha, Yongdong Zhang, Qionghai Dai, Feng Dai, Xingyu Gao, Jian Yin and Qi Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Liang Li

266 papers receiving 4.7k 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.

A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors

2014 316 citations Chenggang Yan, Liang Li et al. profile →
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations

2020 260 citations Shuhui Wang, Liang Li et al. profile →
Task-Adaptive Attention for Image Captioning

2021 255 citations Chenggang Yan, Liang Li et al. profile →
Age-Invariant Face Recognition by Multi-Feature Fusionand Decomposition with Self-attention

2022 154 citations Chenggang Yan, Liang Li et al. ACM Transactions on Multimedia Computing Communications and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liang Li China	36	2.8k	1.4k	443	383	309	291	4.8k
Jianping Gou China	26	1.9k 0.7×	2.0k 1.4×	365 0.8×	389 1.0×	261 0.8×	123	4.6k
Jie Shao China	36	2.3k 0.8×	1.6k 1.2×	370 0.8×	371 1.0×	469 1.5×	330	4.8k
Jianping Fan China	38	3.6k 1.3×	2.0k 1.4×	526 1.2×	602 1.6×	264 0.9×	275	5.5k
Sicheng Zhao China	40	3.2k 1.1×	2.2k 1.6×	365 0.8×	234 0.6×	297 1.0×	162	5.6k
Ruili Wang New Zealand	36	1.8k 0.6×	1.4k 1.0×	514 1.2×	339 0.9×	439 1.4×	216	5.1k
Adam Coates United States	17	2.5k 0.9×	2.0k 1.5×	404 0.9×	507 1.3×	208 0.7×	27	4.4k
Jie Gui China	30	2.1k 0.7×	975 0.7×	438 1.0×	481 1.3×	141 0.5×	106	4.1k
Zhihui Li China	31	1.9k 0.7×	2.1k 1.5×	192 0.4×	286 0.7×	209 0.7×	131	4.4k
Wanquan Liu Australia	33	1.7k 0.6×	787 0.6×	453 1.0×	356 0.9×	278 0.9×	369	5.0k

Countries citing papers authored by Liang Li

Since Specialization

Citations

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

Fields of papers citing papers by Liang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Li

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

Yao, Jixin, Liang Li, Xiaowei Tong, et al.. (2024). WS2/WN interface-triggered energetic triiodide reduction activity to enhance performance of solar cells. Carbon. 233. 119855–119855.

Zhu, Xiaofei, Liang Li, Weidong Liu, & Xin Luo. (2024). Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation. Neural Networks. 179. 106480–106480. 6 indexed citations

Li, Liang, et al.. (2024). Identifying influential spreaders in complex networks based on local and global structure. Journal of Computational Science. 82. 102395–102395. 6 indexed citations

Li, Liang. (2024). Exploring the Teaching Reform Path of Ideological and Political Education in Colleges and Universities in the Context of Deep Learning. Applied Mathematics and Nonlinear Sciences. 9(1).

Li, Shujie, Liang Li, Ruiying Geng, et al.. (2024). Unifying Structured Data as Graph for Data-to-Text Pre-Training. Transactions of the Association for Computational Linguistics. 12. 210–228. 3 indexed citations

Li, Liang. (2024). Research on the Resource Sharing Mode of Civic and Political Education Platform in Colleges and Universities in the Information Technology Era and the Path of Student Participation. Applied Mathematics and Nonlinear Sciences. 9(1).

Li, Liang, et al.. (2024). Stochastic Context Consistency Reasoning for Domain Adaptive Object Detection. 1331–1340. 2 indexed citations

Tu, Yunbin, et al.. (2024). Multi-Grained Representation Aggregating Transformer with Gating Cycle for Change Captioning. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–23. 1 indexed citations

Wang, Gang, et al.. (2024). Tiny drone object detection in videos guided by the bio-inspired magnocellular computation model. Applied Soft Computing. 163. 111892–111892. 5 indexed citations

10.

Li, Liang, et al.. (2023). Plan-then-Seam: Towards Efficient Table-to-Text Generation. 205–219.

11.

Song, Xiaogang, Liang Li, Weiwei Shi, et al.. (2023). Image super-resolution with multi-scale fractal residual attention network. Computers & Graphics. 113. 21–31. 5 indexed citations

12.

Li, Liang, et al.. (2023). MaTCR: Modality-Aligned Thought Chain Reasoning for Multimodal Task-Oriented Dialogue Generation. 5776–5785. 2 indexed citations

13.

Liu, Yiting, Liang Li, Beichen Zhang, & Qingming Huang. (2022). Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation. 3106–3117. 1 indexed citations

14.

Sun, Yaoqi, Liang Li, Bolun Zheng, et al.. (2022). Bidirectional difference locating and semantic consistency reasoning for change captioning. International Journal of Intelligent Systems. 37(5). 2969–2987. 8 indexed citations

15.

Yang, Chong, et al.. (2021). Moving Car Recognition and Removal for 3D Urban Modelling Using Oblique Images. Remote Sensing. 13(17). 3458–3458. 11 indexed citations

16.

Yang, Shijie, Liang Li, Shuhui Wang, et al.. (2020). Graph Regularized Encoder-Decoder Networks for Image Representation Learning. IEEE Transactions on Multimedia. 23. 3124–3136. 8 indexed citations

17.

Yang, Shijie, Liang Li, Shuhui Wang, et al.. (2019). SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation Learning. IEEE Transactions on Multimedia. 21(11). 2916–2929. 44 indexed citations

18.

Li, Liang, et al.. (2019). 抗体を越えて:重症筋無力症の血清代謝プロファイリング【JST・京大機械翻訳】. Metabolomics. 15(8). 1–12. 2 indexed citations

19.

Wang, Ping, Liang Li, & Chenggang Yan. (2017). Image classification by principal component analysis of multi-channel deep feature. 696–700. 2 indexed citations

20.

Li, Liang, Bin Li, & Junwu Zhu. (2008). Steganography: DCT Coefficients Reparation Technique in JPEG Image. International Journal of Digital Content Technology and its Applications. 2. 35–41. 7 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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