Minglei Li

1.4k total citations · 2 hit papers
58 papers, 907 citations indexed

About

Minglei Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Surgery. According to data from OpenAlex, Minglei Li has authored 58 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Artificial Intelligence and 11 papers in Surgery. Recurrent topics in Minglei Li's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (8 papers) and Pediatric Urology and Nephrology Studies (7 papers). Minglei Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (8 papers) and Pediatric Urology and Nephrology Studies (7 papers). Minglei Li collaborates with scholars based in China, Norway and Spain. Minglei Li's co-authors include Shen Yin, Yuchen Jiang, Xiang Li, Hao Luo, Jiusi Zhang, Pengfei Yan, Guanyi Li, Leopoldo G. Franquelo, José I. Leon and Jilun Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Minglei Li

47 papers receiving 890 citations

Hit Papers

Deep Learning Attention Mechanism in Medical Image Analys... 2023 2026 2024 2025 2023 2023 50 100 150
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. Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds
    2023 152 citations Xiang Li, Minglei Li et al. profile →
  2. A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics
    2023 85 citations Jiusi Zhang, Jilun Tian et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minglei Li China 13 282 246 191 114 100 58 907
Il Dong Yun South Korea 19 255 0.9× 542 2.2× 197 1.0× 30 0.3× 81 0.8× 77 1.0k
Yu Qiao China 15 113 0.4× 233 0.9× 134 0.7× 112 1.0× 54 0.5× 56 827
Changmiao Wang China 13 222 0.8× 290 1.2× 178 0.9× 77 0.7× 33 0.3× 69 797
Yu Zhu China 21 224 0.8× 707 2.9× 290 1.5× 65 0.6× 31 0.3× 132 1.7k
Nipon Theera‐Umpon Thailand 20 205 0.7× 572 2.3× 620 3.2× 101 0.9× 28 0.3× 128 1.5k
Yuqi Fang China 14 224 0.8× 151 0.6× 218 1.1× 36 0.3× 18 0.2× 44 712
He Ma China 20 756 2.7× 270 1.1× 460 2.4× 65 0.6× 103 1.0× 72 1.2k
Ümit Budak Türkiye 21 542 1.9× 517 2.1× 602 3.2× 41 0.4× 149 1.5× 42 1.6k
Khosro Rezaee Iran 18 158 0.6× 304 1.2× 328 1.7× 49 0.4× 41 0.4× 70 943

Countries citing papers authored by Minglei Li

Since Specialization
Citations

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

Fields of papers citing papers by Minglei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Minglei Li. A scholar is included among the top collaborators of Minglei 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 Minglei Li. Minglei 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
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Song, Yu, et al.. (2025). Haplotype-Phased Chromosome-Level Genome Assembly of Cryptoporus qinlingensis, a Typical Traditional Chinese Medicine Fungus. Journal of Fungi. 11(2). 163–163. 3 indexed citations
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Li, Minglei, et al.. (2025). Dual-multiplexed coaxial holograms reconstruction based all-optical diffraction deep neural network. Optics Communications. 582. 131632–131632. 1 indexed citations
6.
Yan, Pengfei, Minglei Li, Xiang Li, et al.. (2024). An accurate prediction for respiratory diseases using deep learning on bronchoscopy diagnosis images. Journal of Advanced Research. 76. 423–438. 4 indexed citations
7.
Yan, Pengfei, Minglei Li, Jiusi Zhang, et al.. (2024). Cold SegDiffusion: A novel diffusion model for medical image segmentation. Knowledge-Based Systems. 301. 112350–112350. 7 indexed citations
8.
Zhang, Ming, et al.. (2024). Exploring the molecular tapestry of Sarcodon secondary metabolites: chemical structures, activities, and biosynthesis. Mycology: An International Journal on Fungal Biology. 16(1). 158–179. 3 indexed citations
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Li, Minglei, Pengfei Yan, Xiang Li, et al.. (2024). Joint Lesion Detection and Classification of Breast Ultrasound Video via a Clinical Knowledge-Aware Framework. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 45–61. 4 indexed citations
11.
Yan, Pengfei, Minglei Li, Jiusi Zhang, et al.. (2024). TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound. Information Fusion. 112. 102592–102592. 12 indexed citations
12.
Li, Minglei, Hang Zhou, Xiang Li, et al.. (2023). SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images. Artificial Intelligence in Medicine. 146. 102699–102699. 4 indexed citations
13.
Yan, Pengfei, et al.. (2023). PKDN: Prior Knowledge Distillation Network for bronchoscopy diagnosis. Computers in Biology and Medicine. 166. 107486–107486. 8 indexed citations
14.
Li, Xiang, Minglei Li, Jiusi Zhang, et al.. (2023). SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization. IEEE Transactions on Medical Imaging. 42(8). 2274–2285. 32 indexed citations
15.
Li, Xiang, Jiusi Zhang, Minglei Li, et al.. (2023). FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection. Expert Systems with Applications. 238. 121746–121746. 7 indexed citations
16.
Zhang, Jiusi, Jilun Tian, Minglei Li, et al.. (2023). A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 85 indexed citations breakdown →
17.
Chen, Hongmei, et al.. (2023). Development of a nomogram for severe influenza in previously healthy children: a retrospective cohort study. Journal of International Medical Research. 51(2). 3639214696–3639214696.
18.
Li, Xiang, Minglei Li, Pengfei Yan, et al.. (2023). Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds. 93–116. 152 indexed citations breakdown →
19.
Li, Xiang, Yuchen Jiang, Minglei Li, & Shen Yin. (2020). Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation. IEEE Transactions on Industrial Informatics. 17(3). 1958–1967. 194 indexed citations
20.
Zhang, Na, et al.. (2010). Application of tubularized transverse preputial island flap urethroplasty for the repair of hypospadias. Zhonghua xiaoerwaike zazhi. 31(10). 757–760. 1 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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