Lingqiao Li

968 total citations
44 papers, 678 citations indexed

About

Lingqiao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lingqiao Li has authored 44 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lingqiao Li's work include Video Surveillance and Tracking Methods (8 papers), AI in cancer detection (8 papers) and Advanced Neural Network Applications (8 papers). Lingqiao Li is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), AI in cancer detection (8 papers) and Advanced Neural Network Applications (8 papers). Lingqiao Li collaborates with scholars based in China, Australia and United Kingdom. Lingqiao Li's co-authors include Huihua Yang, Xipeng Pan, Zhenbing Liu, Weidong Zhang, Yongxian Fan, Xiwang Xie, Zimin Wang, Zhiwei Cao, Chu Han and Lingling Zhao and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Lingqiao Li

34 papers receiving 648 citations

Peers

Lingqiao Li
Anabia Sohail Pakistan
Wanli Liu China
I. El-Naqa United States
Md. Mostafijur Rahman Bangladesh
Alfonso Rojas‐Domínguez Mexico
Kamal Hammouche Algeria
S.E. Grigorescu Netherlands
S. Pare India
Xiabi Liu China
Anabia Sohail Pakistan
Lingqiao Li
Citations per year, relative to Lingqiao Li Lingqiao Li (= 1×) peers Anabia Sohail

Countries citing papers authored by Lingqiao Li

Since Specialization
Citations

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

Fields of papers citing papers by Lingqiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingqiao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lingqiao Li. A scholar is included among the top collaborators of Lingqiao 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 Lingqiao Li. Lingqiao 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.
Lin, Huan, Yumeng Wang, Lingqiao Li, et al.. (2025). Federated cross-source learning for lung nodule segmentation with data characteristic-aware weight optimization. Pattern Recognition. 172. 112396–112396.
2.
Feng, Siyang, Yanfen Cui, Lingqiao Li, et al.. (2025). Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer. Knowledge-Based Systems. 317. 113451–113451. 1 indexed citations
3.
4.
Chen, Hubiao, Wei Ju, Lingqiao Li, et al.. (2025). Prox1 Is Linked to Metastasis and Poor Prognosis by Promoting Lymphangiogenesis in Melanoma. Clinical Cosmetic and Investigational Dermatology. Volume 18. 2847–2858.
5.
Pan, Xipeng, Hualong Zhang, Huadeng Wang, et al.. (2025). Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression. Engineering Applications of Artificial Intelligence. 156. 111100–111100.
6.
Pan, Xipeng, et al.. (2025). Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising. Artificial Intelligence in Medicine. 164. 103113–103113.
7.
8.
Li, Lingqiao, Han Bao, X. S. Jiang, et al.. (2024). Effect of corneal cross-linking on biomechanical properties of swollen rabbit corneas. Experimental Eye Research. 251. 110191–110191.
9.
Zhao, Wenyi, et al.. (2023). Global-and-Local sampling for efficient hybrid task self-supervised learning. Knowledge-Based Systems. 268. 110479–110479. 7 indexed citations
10.
Pan, Xipeng, Rushi Lan, Cheng Lu, et al.. (2023). SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. Medical Image Analysis. 88. 102867–102867. 37 indexed citations
11.
Zheng, XiaoBo, Xin Yue, Chong Wang, et al.. (2023). Use of Nanoindentation in Determination of Regional Biomechanical Properties of Rabbit Cornea After UVA Cross-Linking. Investigative Ophthalmology & Visual Science. 64(13). 26–26. 4 indexed citations
12.
Li, Lingqiao, et al.. (2023). An accurate shared bicycle detection network based on faster R‐CNN. IET Image Processing. 17(6). 1919–1930. 3 indexed citations
13.
Zhu, Chen, Yanfeng Shi, Jing Yu, et al.. (2023). Cryo-EM structures of a prokaryotic heme transporter CydDC. Protein & Cell. 14(12). 919–923. 1 indexed citations
14.
Xie, Xiwang, Weidong Zhang, Huadeng Wang, et al.. (2021). Dynamic adaptive residual network for liver CT image segmentation. Computers & Electrical Engineering. 91. 107024–107024. 52 indexed citations
15.
Zhao, Wenyi, Huihua Yang, Xipeng Pan, & Lingqiao Li. (2021). S2-aware network for visual recognition. Signal Processing Image Communication. 99. 116458–116458. 8 indexed citations
16.
Pan, Xipeng, et al.. (2020). On Open-Set, High-Fidelity and Identity-Specific Face Transformation. IEEE Access. 8. 224643–224653. 2 indexed citations
17.
Pan, Xipeng, Lingqiao Li, Zhenbing Liu, et al.. (2018). Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks. World Wide Web. 21(6). 1721–1743. 27 indexed citations
18.
Li, Lingqiao, et al.. (2017). スパース再構成と深い畳込みネットワークによる病理画像における核の正確なセグメンテーション【Powered by NICT】. Neurocomputing. 229. 99.
19.
Wang, Ke, et al.. (2016). K-means clustering algorithm based on adaptive cuckoo search and its application. 36(8). 2070. 4 indexed citations
20.
Yang, Huihua, et al.. (2013). An Efficient Method for Vehicle Model Identification via Logo Recognition. 1080–1083. 18 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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