Li Fang

4.1k total citations · 1 hit paper
96 papers, 3.4k citations indexed

About

Li Fang is a scholar working on Molecular Biology, Artificial Intelligence and Nephrology. According to data from OpenAlex, Li Fang has authored 96 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Artificial Intelligence and 16 papers in Nephrology. Recurrent topics in Li Fang's work include Renal Diseases and Glomerulopathies (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (5 papers). Li Fang is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (5 papers). Li Fang collaborates with scholars based in China, United States and Macao. Li Fang's co-authors include Junwei Yang, Ping Wen, Yang Zhou, Lei Jiang, Weichun He, Chunsun Dai, Mingxia Xiong, Chunzheng Yang, Tieli Peng and Mengyu Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Li Fang

87 papers receiving 3.3k citations

Hit Papers

Single‐Atom Pd Nanozyme for Ferroptosis‐Boosted Mild‐Temp... 2021 2026 2022 2024 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Fang China 27 1.4k 596 526 470 443 96 3.4k
Qing Wang China 37 1.9k 1.4× 173 0.3× 476 0.9× 308 0.7× 470 1.1× 204 4.3k
Yining Li China 28 965 0.7× 181 0.3× 190 0.4× 259 0.6× 370 0.8× 113 2.8k
Rong Li China 26 1.5k 1.1× 482 0.8× 153 0.3× 84 0.2× 652 1.5× 99 3.3k
Yuqi Yang China 44 2.5k 1.8× 133 0.2× 1.5k 2.9× 804 1.7× 896 2.0× 240 6.2k
Jesper Skovhus Thomsen Denmark 41 1.6k 1.2× 300 0.5× 767 1.5× 94 0.2× 93 0.2× 214 4.9k
Song Rong Germany 39 1.5k 1.1× 1.2k 2.0× 118 0.2× 94 0.2× 479 1.1× 146 5.1k
Yining Wang China 28 626 0.5× 129 0.2× 865 1.6× 342 0.7× 101 0.2× 244 3.1k
Weimin Yu China 26 794 0.6× 185 0.3× 338 0.6× 119 0.3× 361 0.8× 155 2.9k
Ailing Li China 30 2.1k 1.5× 153 0.3× 98 0.2× 166 0.4× 797 1.8× 133 3.3k
Gerald M. Saidel United States 33 1.3k 1.0× 146 0.2× 749 1.4× 111 0.2× 548 1.2× 178 4.4k

Countries citing papers authored by Li Fang

Since Specialization
Citations

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

Fields of papers citing papers by Li Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Li Fang. A scholar is included among the top collaborators of Li Fang 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 Li Fang. Li Fang 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.
Xu, Weiqing, Wenxuan Jiang, Wenhong Yang, et al.. (2025). Photo‐enhanced UiO‐66/Au Nanoparticles with High Phosphatase‐Like Activity for Rapid Degradation and Detection of Paraoxon. Small. e2411402–e2411402. 1 indexed citations
2.
Xiao, Jing, Shuping Wei, Li Fang, et al.. (2025). IGSF9-targeted therapy inhibits the progression of acute myeloid leukemia. Blood Advances. 9(16). 4217–4231.
5.
Hou, Yuanjing, Li Fang, Ruiming Guo, et al.. (2024). Unraveling the role of integrating signal peptides into natural collagen on modulating cancer cell adhesion. International Journal of Biological Macromolecules. 283(Pt 3). 137808–137808. 1 indexed citations
6.
Fang, Li, et al.. (2024). Robust Multiview Point Cloud Registration Using Algebraic Connectivity and Spatial Compatibility. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14.
7.
Li, Ting, et al.. (2023). WaveGNet: Wavelet-Guided Deep Learning for Efficient Aerial Power Line Detection. IEEE Sensors Journal. 24(14). 22037–22044. 1 indexed citations
8.
Li, Yanshu, et al.. (2023). Improved particle swarm optimization based on hyperbolic cross points algorithm. 21–21. 1 indexed citations
9.
Fang, Li, et al.. (2023). Role of different melanocyte populations in the reconstitution of pigmented hair follicles. Chinese Journal of Dermatology. 1 indexed citations
10.
Li, Xiaoming, Peiyuan Bai, Ming Li, et al.. (2022). Caspase-8 Promotes Pulmonary Hypertension by Activating Macrophage-Associated Inflammation and IL-1β (Interleukin 1β) Production. Arteriosclerosis Thrombosis and Vascular Biology. 42(5). 613–631. 42 indexed citations
11.
Shi, Cheng, et al.. (2021). Hyperspectral Image Classification With Adversarial Attack. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 20 indexed citations
12.
Fang, Li, et al.. (2021). Flexible and Efficient Blockchain-Based Cloud Storage. 304–312. 1 indexed citations
13.
Li, Wenjing, Zhongcheng Wu, Jun Zhang, Tingting Ren, & Li Fang. (2020). LGSim: local task-invariant and global task-specific similarity for few-shot classification. Neural Computing and Applications. 32(16). 13065–13076. 7 indexed citations
14.
Zhou, Yang, Li Fang, Yanting Yu, et al.. (2015). Erythropoietin protects the tubular basement membrane by promoting the bone marrow to release extracellular vesicles containing tPA-targeting miR-144. American Journal of Physiology-Renal Physiology. 310(1). F27–F40. 25 indexed citations
15.
16.
Fang, Li, Yang Zhou, Ping Wen, et al.. (2013). Autophagy Attenuates Diabetic Glomerular Damage through Protection of Hyperglycemia-Induced Podocyte Injury. PLoS ONE. 8(4). e60546–e60546. 199 indexed citations
17.
Li, Junlian, et al.. (2012). The Mechanism of MeSH Subheading Automatic Attachment for Chinese Biomedical Literatures. Shuju fenxi yu zhishi faxian. 28(6). 17–21. 1 indexed citations
18.
Wang, Letian & Li Fang. (2010). SJTULTLAB: Chunk Based Method for Keyphrase Extraction. Meeting of the Association for Computational Linguistics. 158–161. 9 indexed citations
19.
Fang, Li, et al.. (2010). Naive Bayesian classifier model based on improved weighted attributes. 46(4). 132–133. 1 indexed citations
20.
Fang, Li & Nan Chen. (2009). An intelligent assistant design system based on CBR and MAS. 8. 1335–1339. 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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