Da Li

3.7k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Da Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Da Li has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Water Science and Technology. Recurrent topics in Da Li's work include Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Neural Network Applications (7 papers). Da Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Neural Network Applications (7 papers). Da Li collaborates with scholars based in United Kingdom, China and United States. Da Li's co-authors include Timothy M. Hospedales, Yi-Zhe Song, Yongxin Yang, Jianshu Zhang, Cong Liu, Shell Xu Hu, Minyoung Kim, Jan Stühmer, Tao Xiang and Jianfeng Li and has published in prestigious journals such as The Science of The Total Environment, Journal of Power Sources and Bioresource Technology.

In The Last Decade

Da Li

19 papers receiving 1.2k citations

Hit Papers

Learning to Generalize: Meta-Learning for Domain Generali... 2018 2026 2020 2023 2018 200 400 600
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.

  1. Learning to Generalize: Meta-Learning for Domain Generalization
    2018 683 citations Da Li, Yongxin Yang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Li United Kingdom 10 796 707 96 91 72 22 1.3k
Chen Lin China 16 433 0.5× 295 0.4× 315 3.3× 55 0.6× 35 0.5× 44 1.1k
Weiwei Zong United States 7 726 0.9× 244 0.3× 62 0.6× 32 0.4× 17 0.2× 17 906
Jiaxing Huang Singapore 15 520 0.7× 644 0.9× 119 1.2× 44 0.5× 66 0.9× 32 1.1k
Chi Su China 16 536 0.7× 1.7k 2.4× 119 1.2× 530 5.8× 94 1.3× 43 2.0k
Zihang Dai China 17 773 1.0× 482 0.7× 72 0.8× 13 0.1× 46 0.6× 45 1.3k
Dongliang Chang China 14 588 0.7× 641 0.9× 72 0.8× 41 0.5× 132 1.8× 41 1.2k
Yuhang Zhang China 16 215 0.3× 473 0.7× 39 0.4× 40 0.4× 125 1.7× 88 991
Snehasis Mukherjee India 12 283 0.4× 450 0.6× 91 0.9× 76 0.8× 122 1.7× 43 900
Hongsheng Yin China 13 240 0.3× 225 0.3× 130 1.4× 110 1.2× 84 1.2× 41 825
Siyuan Qiao United States 13 375 0.5× 1.0k 1.4× 64 0.7× 70 0.8× 167 2.3× 25 1.4k

Countries citing papers authored by Da Li

Since Specialization
Citations

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

Fields of papers citing papers by Da Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Li

This figure shows the co-authorship network connecting the top 25 collaborators of Da Li. A scholar is included among the top collaborators of Da 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 Da Li. Da 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.
Wang, Ruicong, et al.. (2025). Preparation of high stability hierarchical bimetallic Ni-Mo catalysts for CO2 reforming with methane. Molecular Catalysis. 573. 114835–114835. 1 indexed citations
2.
Chang, Dongliang, et al.. (2025). Reserve to Adapt: Mining Inter-Class Relations for Open-Set Domain Adaptation. IEEE Transactions on Image Processing. 34. 1382–1397.
3.
Yang, Ruolin, Da Li, Honggang Zhang, & Yi-Zhe Song. (2024). SketchAnimator: Animate Sketch via Motion Customization of Text-to-Video Diffusion Models. 1–5.
4.
Li, Da, et al.. (2023). Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. Edinburgh Research Explorer (University of Edinburgh). 23349–23358. 30 indexed citations
5.
Lu, Zhihe, Sen He, Da Li, Yi-Zhe Song, & Tao Xiang. (2023). Prediction Calibration for Generalized Few-Shot Semantic Segmentation. IEEE Transactions on Image Processing. 32. 3311–3323. 16 indexed citations
6.
Lu, Zhihe, Da Li, Yi-Zhe Song, Tao Xiang, & Timothy M. Hospedales. (2023). Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation. IEEE Transactions on Image Processing. 32. 4664–4676. 17 indexed citations
7.
Li, Da, et al.. (2022). A Lightweight Tire Tread Image Classification Network. 1–5. 1 indexed citations
8.
Hu, Shell Xu, Da Li, Jan Stühmer, Minyoung Kim, & Timothy M. Hospedales. (2022). Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9058–9067. 100 indexed citations
9.
Wang, Fei, Junfeng Liu, Da Li, et al.. (2022). High-Efficiency Water Recovery from Urine by Vacuum Membrane Distillation for Space Applications: Water Quality Improvement and Operation Stability. Membranes. 12(6). 629–629. 8 indexed citations
10.
11.
Deng, Zhongying, Kaiyang Zhou, Da Li, et al.. (2022). Dynamic Instance Domain Adaptation. IEEE Transactions on Image Processing. 31. 4585–4597. 36 indexed citations
12.
Chen, Zhiqiang, Da Li, Hong-Guo Liu, & Qinxue Wen. (2021). Effects of polyurethane foam carrier addition on anoxic/aerobic membrane bioreactor (A/O-MBR) for coal gasification wastewater (CGW) treatment: Performance and microbial community structure. The Science of The Total Environment. 789. 148037–148037. 22 indexed citations
13.
Yu, Tianyuan, Yongxin Yang, Da Li, Timothy M. Hospedales, & Tao Xiang. (2021). Simple and Effective Stochastic Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 3252–3260. 9 indexed citations
14.
Li, Da, et al.. (2021). A Simple Feature Augmentation for Domain Generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8866–8875.
15.
Li, Da, et al.. (2020). Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. IEEE Transactions on Image Processing. 29. 9470–9481. 7 indexed citations
16.
Li, Da, Jianshu Zhang, Yongxin Yang, et al.. (2019). Episodic Training for Domain Generalization. Edinburgh Research Explorer. 1446–1455. 243 indexed citations
17.
Li, Da, et al.. (2018). Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. Edinburgh Research Explorer. 9136–9144. 8 indexed citations
18.
Li, Da, Yongxin Yang, Yi-Zhe Song, & Timothy M. Hospedales. (2018). Learning to Generalize: Meta-Learning for Domain Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 683 indexed citations breakdown →
19.
Li, Da & Michela Becchi. (2012). Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. 1473–1473. 4 indexed citations
20.
Li, Jianfeng, Fenglin Yang, Yu Liu, et al.. (2011). Microbial community and biomass characteristics associated severe membrane fouling during start-up of a hybrid anoxic–oxic membrane bioreactor. Bioresource Technology. 103(1). 43–47. 41 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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