Qingfeng Li

856 total citations
44 papers, 522 citations indexed

About

Qingfeng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qingfeng Li has authored 44 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qingfeng Li's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Neural Network Applications (5 papers). Qingfeng Li is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Neural Network Applications (5 papers). Qingfeng Li collaborates with scholars based in China, United States and Taiwan. Qingfeng Li's co-authors include Jianwei Niu, Jianbo Yu, Xuefeng Liu, Yong Wang, Chen Chen, Tao Ren, Mingliang Xu, Hao Su, Sajal K. Das and Jiyan Wu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Qingfeng Li

42 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingfeng Li China 12 196 152 113 101 54 44 522
Xu Lu China 12 139 0.7× 93 0.6× 97 0.9× 53 0.5× 37 0.7× 52 539
Yuji Iwahori Japan 15 574 2.9× 178 1.2× 112 1.0× 102 1.0× 35 0.6× 167 973
Siyamalan Manivannan Sri Lanka 13 193 1.0× 217 1.4× 145 1.3× 56 0.6× 25 0.5× 38 586
Xulei Yang Singapore 14 181 0.9× 143 0.9× 145 1.3× 26 0.3× 19 0.4× 64 575
Hexuan Hu China 12 58 0.3× 137 0.9× 56 0.5× 49 0.5× 39 0.7× 44 530
Hu Su China 14 242 1.2× 102 0.7× 36 0.3× 198 2.0× 24 0.4× 72 638
Arturo Hernández-Aguirre Mexico 15 104 0.5× 272 1.8× 125 1.1× 143 1.4× 19 0.4× 65 802
Mingyang Li China 14 385 2.0× 155 1.0× 105 0.9× 37 0.4× 15 0.3× 44 645
Barath Narayanan Narayanan United States 16 171 0.9× 289 1.9× 235 2.1× 51 0.5× 74 1.4× 33 746

Countries citing papers authored by Qingfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfeng Li. A scholar is included among the top collaborators of Qingfeng 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 Qingfeng Li. Qingfeng 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.
Ren, Haoyu, Yuqing Wang, Qingfeng Li, et al.. (2025). Comparison of adverse events between intensity-modulated radiation therapy and tomotherapy for early stage breast cancer: a retrospective cohort study. Frontiers in Oncology. 15. 1654609–1654609.
2.
Li, Qingfeng, et al.. (2025). Identification of biomarkers and target drugs for melanoma: a topological and deep learning approach. Frontiers in Genetics. 16. 1471037–1471037. 1 indexed citations
3.
Meng, Hui, et al.. (2024). GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled Data. 886–895. 5 indexed citations
4.
Xu, Ziheng, et al.. (2024). NID-SLAM: Neural Implicit Representation-based RGB-D SLAM In Dynamic Environments. 1–6. 11 indexed citations
5.
Li, Qingfeng, et al.. (2023). A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network. Biomimetics. 8(3). 275–275. 3 indexed citations
6.
Kou, Lei, et al.. (2023). Multiple channel adjustment based on composite backbone network for underwater image enhancement. International Journal of Bio-Inspired Computation. 22(3). 162–175. 1 indexed citations
7.
Li, Qingfeng, et al.. (2023). An AAM-Based Identification Method for Ear Acupoint Area. Biomimetics. 8(3). 307–307. 3 indexed citations
8.
Xie, Xiaozheng, Jianwei Niu, Xuefeng Liu, et al.. (2023). A domain knowledge powered hybrid regularization strategy for semi-supervised breast cancer diagnosis. Expert Systems with Applications. 243. 122897–122897. 3 indexed citations
9.
Li, Qingfeng, Chen Chen, Xuefeng Liu, et al.. (2023). Conventional ultrasound and contrast-enhanced ultrasound radiomics in breast cancer and molecular subtype diagnosis. Frontiers in Oncology. 13. 1158736–1158736. 15 indexed citations
10.
Zhang, Yang, et al.. (2022). Multi-scale Fusion and Global Semantic Encoding for Affordance Detection. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 5 indexed citations
11.
Meng, Hui, Xuefeng Liu, Jianwei Niu, et al.. (2022). DGANet: A Dual Global Attention Neural Network for Breast Lesion Detection in Ultrasound Images. Ultrasound in Medicine & Biology. 49(1). 31–44. 11 indexed citations
12.
Ma, Huifang, et al.. (2022). FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks. Applied Intelligence. 53(13). 16424–16444. 4 indexed citations
13.
Zhang, Xiaomin, et al.. (2022). KGA: integrating KPCA and GAN for microbial data augmentation. International Journal of Machine Learning and Cybernetics. 14(4). 1427–1444. 6 indexed citations
14.
Xu, Mingliang, Qingfeng Li, Jianwei Niu, et al.. (2021). ART-UP: A Novel Method for Generating Scanning-Robust Aesthetic QR Codes. ACM Transactions on Multimedia Computing Communications and Applications. 17(1). 1–23. 20 indexed citations
15.
16.
Su, Hao, Jianwei Niu, Xuefeng Liu, et al.. (2021). Q-Art Code: Generating Scanning-robust Art-style QR Codes by Deformable Convolution. 722–730. 4 indexed citations
17.
Meng, Hui, Qingfeng Li, Xuefeng Liu, Yong Wang, & Jianwei Niu. (2021). Multi-scale view-based convolutional neural network for breast cancer classification in ultrasound images. 46–46. 1 indexed citations
18.
Chen, Chen, et al.. (2021). Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos. IEEE Transactions on Medical Imaging. 40(9). 2439–2451. 78 indexed citations
19.
Xie, Xiaozheng, Jianwei Niu, Xuefeng Liu, et al.. (2021). DK-Consistency: A Domain Knowledge Guided Consistency Regularization Method for Semi-supervised Breast Cancer Diagnosis. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3435–3442. 3 indexed citations
20.
Li, Qingfeng, et al.. (2020). The application and accuracy of feature matching on automated cephalometric superimposition. BMC Medical Imaging. 20(1). 31–31. 3 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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