Yingming Li

1.0k total citations
55 papers, 557 citations indexed

About

Yingming Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yingming Li has authored 55 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Yingming Li's work include Domain Adaptation and Few-Shot Learning (15 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Multimodal Machine Learning Applications (8 papers). Yingming Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Multimodal Machine Learning Applications (8 papers). Yingming Li collaborates with scholars based in China, United States and United Kingdom. Yingming Li's co-authors include Zhongfei Zhang, Jiajiong Cao, Zenglin Xu, Siyu Huang, Tao Jin, Bin Liu, Ming Chen, Ming Yang, Ming Yang and Bin Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Yingming Li

50 papers receiving 541 citations

Peers

Yingming Li
Kun Bai China
Zongbo Han China
Duanqing Xu China
Mark Palatucci United States
Changying Du China
Hayato Kobayashi Japan
Michael J. Wilber United States
Elena Voita Netherlands
Akshay Vashist United States
Kun Bai China
Yingming Li
Citations per year, relative to Yingming Li Yingming Li (= 1×) peers Kun Bai

Countries citing papers authored by Yingming Li

Since Specialization
Citations

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

Fields of papers citing papers by Yingming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yingming Li. A scholar is included among the top collaborators of Yingming 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 Yingming Li. Yingming 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.
Yu, Yunlong, et al.. (2025). Multiscale Adapter Based on SAM for Remote Sensing Semantic Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 6806–6819. 3 indexed citations
2.
Yu, Yunlong, et al.. (2024). Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios. Neural Networks. 184. 107083–107083. 1 indexed citations
3.
Huang, Zhengxing, et al.. (2024). Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA–gene–disease networks. Briefings in Bioinformatics. 25(5). 1 indexed citations
4.
Yu, Yunlong, et al.. (2024). Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation. Neurocomputing. 611. 128600–128600. 2 indexed citations
5.
Lu, Zhe‐Ming, et al.. (2024). Dense affinity matching for Few-Shot Segmentation. Neurocomputing. 577. 127348–127348. 4 indexed citations
6.
Li, Yingming, et al.. (2023). Dual-DIANet: A sharing-learnable multi-task network based on dense information aggregation. Neurocomputing. 569. 127035–127035. 1 indexed citations
7.
8.
Li, Yingming, et al.. (2021). Joint structured pruning and dense knowledge distillation for efficient transformer model compression. Neurocomputing. 458. 56–69. 23 indexed citations
9.
Jin, Tao, Siyu Huang, Yingming Li, & Zhongfei Zhang. (2020). Dual Low-Rank Multimodal Fusion. 377–387. 20 indexed citations
10.
Li, Yingming, et al.. (2020). BERT-enhanced Relational Sentence Ordering Network. 6310–6320. 20 indexed citations
11.
Huang, Siyu, et al.. (2019). Text Guided Person Image Synthesis. 3658–3667. 28 indexed citations
12.
Liu, Bin, Yingming Li, & Zenglin Xu. (2018). Manifold regularized matrix completion for multi-label learning with ADMM. Neural Networks. 101. 57–67. 29 indexed citations
13.
Li, Yingming, et al.. (2018). Relative Attribute Learning with Deep Attentive Cross-image Representation. Asian Conference on Machine Learning. 879–892. 1 indexed citations
14.
Chen, Ming, Yingming Li, Zhongfei Zhang, & Siyu Huang. (2018). TVT: Two-View Transformer Network for Video Captioning.. Asian Conference on Machine Learning. 847–862. 16 indexed citations
15.
Li, Yingming, et al.. (2018). Deep Attentive Sentence Ordering Network. 4340–4349. 32 indexed citations
16.
Li, Yingming, et al.. (2017). Pyramid Person Matching Network for Person Re-identification. Asian Conference on Machine Learning. 487–497. 2 indexed citations
17.
Li, Yingming, Ming Yang, Zenglin Xu, & Zhongfei Zhang. (2016). Multi-view learning with limited and noisy tagging. International Joint Conference on Artificial Intelligence. 1718–1724. 4 indexed citations
18.
Li, Yingming, Ming Yang, & Zhongfei Zhang. (2016). Multi-View Representation Learning: A Survey from Shallow Methods to Deep Methods. arXiv (Cornell University). 24 indexed citations
19.
Bai, Haoli, Zenglin Xu, Bin Liu, & Yingming Li. (2016). Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. Asian Conference on Machine Learning. 270–285. 2 indexed citations
20.
Yang, Ming, Yingming Li, & Zhongfei Zhang. (2013). Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model. International Conference on Machine Learning. 423–431. 16 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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2026