Lihua Li

5.5k total citations · 1 hit paper
275 papers, 3.8k citations indexed

About

Lihua Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lihua Li has authored 275 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Radiology, Nuclear Medicine and Imaging, 79 papers in Artificial Intelligence and 63 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lihua Li's work include AI in cancer detection (70 papers), Radiomics and Machine Learning in Medical Imaging (55 papers) and MRI in cancer diagnosis (35 papers). Lihua Li is often cited by papers focused on AI in cancer detection (70 papers), Radiomics and Machine Learning in Medical Imaging (55 papers) and MRI in cancer diagnosis (35 papers). Lihua Li collaborates with scholars based in China, United States and Saudi Arabia. Lihua Li's co-authors include Ming Fan, Xin Gao, Juan Zhang, Robert A. Clark, Xun‐Heng Wang, Bin Zheng, Hongying Liu, Yu Li, Laurence P. Clarke and Cheng Hu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Lihua Li

248 papers receiving 3.7k citations

Hit Papers

Multifunctional Injectable Hydrogel Dressings for Effecti... 2021 2026 2022 2024 2021 50 100 150 200 250
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. Multifunctional Injectable Hydrogel Dressings for Effectively Accelerating Wound Healing: Enhancing Biomineralization Strategy
    2021 281 citations Lihua Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lihua Li China 32 1.5k 1.0k 719 451 449 275 3.8k
Jyotirmoy Chatterjee India 25 543 0.4× 433 0.4× 299 0.4× 710 1.6× 462 1.0× 171 2.7k
Hyunjin Park South Korea 40 2.3k 1.5× 490 0.5× 441 0.6× 505 1.1× 915 2.0× 309 5.5k
Kai Jin China 32 1.1k 0.7× 193 0.2× 619 0.9× 354 0.8× 760 1.7× 150 3.4k
Wenlu Zhang China 26 435 0.3× 413 0.4× 1.2k 1.7× 514 1.1× 505 1.1× 109 2.9k
He Wang China 32 2.0k 1.3× 218 0.2× 505 0.7× 294 0.7× 578 1.3× 299 4.6k
Wei Qian China 37 2.1k 1.4× 1.2k 1.2× 879 1.2× 569 1.3× 398 0.9× 234 4.9k
Makoto Nagata Japan 35 441 0.3× 511 0.5× 359 0.5× 168 0.4× 429 1.0× 522 5.7k
Shuyu Li China 33 513 0.3× 224 0.2× 594 0.8× 254 0.6× 281 0.6× 212 3.3k
Nenad Filipović Serbia 29 512 0.3× 353 0.3× 466 0.6× 169 0.4× 678 1.5× 303 3.7k
Arun V. Krishnan Australia 45 826 0.5× 218 0.2× 1.4k 1.9× 257 0.6× 412 0.9× 228 7.0k

Countries citing papers authored by Lihua Li

Since Specialization
Citations

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

Fields of papers citing papers by Lihua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lihua Li. A scholar is included among the top collaborators of Lihua 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 Lihua Li. Lihua 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.
Elazab, Ahmed, Ruiquan Ge, Lingyan Zhang, et al.. (2025). ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism. Neural Networks. 184. 107096–107096. 7 indexed citations
2.
Liu, Xiang, Feng Chen, Yifan Zhang, et al.. (2025). Self-healing sodium alginate-PEDOT:PSS conductive hydrogel for accelerated burn wound healing and real-time monitoring. Chemical Engineering Journal. 522. 167411–167411.
3.
Wang, Ting, et al.. (2024). Delay estimation for cortical-muscular interaction with wavelet coherence time lag. Journal of Neuroscience Methods. 405. 110098–110098. 1 indexed citations
4.
Liu, Hongying, et al.. (2024). Simultaneously determining dopamine, acetaminophen and chlorpromazine with high performance on coordinated functional acupuncture needle electrode. Microchemical Journal. 204. 111085–111085. 2 indexed citations
5.
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Xi, Xugang, et al.. (2024). Corticomuscular Coupling Analysis in Stroke Rehabilitation Based on Variational Mode Decomposition-Transfer Entropy. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3506–3514.
7.
Wang, Pei, et al.. (2024). DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis. IEEE Transactions on Medical Imaging. 43(12). 4393–4403. 2 indexed citations
8.
Xiang, Tao, et al.. (2023). Double Transformer Super-Resolution for Breast Cancer ADC Images. IEEE Journal of Biomedical and Health Informatics. 28(2). 917–928. 3 indexed citations
9.
Guan, Jian, Ming Fan, Tieyong Zeng, & Lihua Li. (2023). Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer. IEEE Journal of Biomedical and Health Informatics. 27(10). 4792–4803.
10.
Fan, Ming, et al.. (2023). Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. IEEE Journal of Biomedical and Health Informatics. 27(11). 5495–5505. 7 indexed citations
11.
Xin, Haoran, Rongfeng Huang, Meiyu Zhou, et al.. (2023). Daytime-restricted feeding enhances running endurance without prior exercise in mice. Nature Metabolism. 5(7). 1236–1251. 20 indexed citations
12.
Guan, Jian, Ming Fan, & Lihua Li. (2023). A weakly supervised NMF method to decipher molecular subtype-related dynamic patterns in breast DCE-MR images. Physics in Medicine and Biology. 68(21). 215002–215002. 2 indexed citations
13.
14.
Li, Mingjie, et al.. (2021). Calculus-related functional protein expression in ureteral calculus-adhered polyp. Medicine. 100(25). e26512–e26512. 2 indexed citations
15.
Wu, Tingting, Wei Li, Lihua Li, & Tieyong Zeng. (2020). A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise. IEEE Access. 8. 37790–37807. 8 indexed citations
16.
17.
Alazmi, Meshari, et al.. (2018). A Slice-based C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 1999–2008. 1 indexed citations
18.
Liu, Shengbin, Xufeng Cao, Rongjun Chen, et al.. (2015). Identification and characterization of a novel abiotic stress responsive ATPase gene from rice. Plant Omics. 8(2). 169–177. 7 indexed citations
19.
Zhang, Tao, et al.. (2012). Vessel Segmentation Under Non-Uniform Illumination: A Level Set Approach. 23(9). 2489–2499. 1 indexed citations
20.
Li, Lihua. (2010). Study on Extraction Processing of Houttuynia cordata Thunb.Polysaccharides Based on Ultrasonic Extraction Method. Anhui nongye kexue. 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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