Fu Li

1.0k total citations · 1 hit paper
36 papers, 738 citations indexed

About

Fu Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Fu Li has authored 36 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Fu Li's work include Photoacoustic and Ultrasonic Imaging (11 papers), Ultrasound Imaging and Elastography (8 papers) and Medical Imaging Techniques and Applications (5 papers). Fu Li is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (11 papers), Ultrasound Imaging and Elastography (8 papers) and Medical Imaging Techniques and Applications (5 papers). Fu Li collaborates with scholars based in United States, China and United Kingdom. Fu Li's co-authors include Joshua H. Hunter, Svetlana O. Doronina, Robert P. Lyon, Martha E. Anderson, Chris Leiske, Cindy Balasubramanian, Tim D. Bovee, Steven Duniho, Peter D. Senter and Jocelyn R. Setter and has published in prestigious journals such as The Journal of Cell Biology, Applied Physics Letters and Nature Biotechnology.

In The Last Decade

Fu Li

33 papers receiving 711 citations

Hit Papers

Self-hydrolyzing maleimides improve the stability and pha... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu Li United States 10 377 266 251 122 110 36 738
Lingyun Huang China 21 318 0.8× 97 0.4× 459 1.8× 188 1.5× 25 0.2× 80 1.2k
Yanying Li China 15 117 0.3× 247 0.9× 176 0.7× 74 0.6× 19 0.2× 57 669
Fumi Utsumi Japan 20 919 2.4× 150 0.6× 352 1.4× 143 1.2× 14 0.1× 44 1.5k
М. В. Сидорова Russia 18 97 0.3× 73 0.3× 284 1.1× 45 0.4× 49 0.4× 112 961
R. Fonte Italy 15 113 0.3× 224 0.8× 325 1.3× 126 1.0× 16 0.1× 46 843
Ardith W. El-Kareh United States 13 83 0.2× 212 0.8× 193 0.8× 228 1.9× 28 0.3× 18 865
Li Wen China 18 77 0.2× 65 0.2× 412 1.6× 129 1.1× 24 0.2× 43 865
Hao Zou China 19 134 0.4× 189 0.7× 415 1.7× 96 0.8× 9 0.1× 67 1.0k
Yaocheng Li China 15 61 0.2× 657 2.5× 1.1k 4.5× 79 0.6× 86 0.8× 33 1.6k
Ute Schellenberger United States 18 192 0.5× 297 1.1× 558 2.2× 113 0.9× 56 0.5× 44 1.3k

Countries citing papers authored by Fu Li

Since Specialization
Citations

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

Fields of papers citing papers by Fu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fu Li. A scholar is included among the top collaborators of Fu 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 Fu Li. Fu 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.
Li, Fu, Wei Yan, Yan Li, et al.. (2025). Abstract 343: GenSci143, a novel B7-H3×PSMA bispecific and potential best-in-class ADC, for the treatment of metastatic castration-resistant prostate cancer. Cancer Research. 85(8_Supplement_1). 343–343. 1 indexed citations
2.
Li, Fu, et al.. (2024). Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(11). 1358–1376. 3 indexed citations
3.
Wang, Hanchen, Fu Li, Mark A. Anastasio, et al.. (2024). Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. IEEE Transactions on Computational Imaging. 10. 69–82. 4 indexed citations
4.
Wang, Qi, Fu Li, Lijing Xu, et al.. (2024). Research progress of organic fluorescent probes for lung cancer related biomarker detection and bioimaging application. Talanta. 272. 125766–125766. 9 indexed citations
5.
Zhu, Jihong, et al.. (2024). Topology optimization design of surface radar absorbing coatings. Engineering Optimization. 57(5). 1219–1244.
8.
Li, Fu, Umberto Villa, Nebojsa Duric, & Mark A. Anastasio. (2023). Three-dimensional time-domain full-waveform inversion for ring-array-based ultrasound computed tomography. The Journal of the Acoustical Society of America. 153(3_supplement). A353–A353. 1 indexed citations
9.
Villa, Umberto, et al.. (2023). Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer. Journal of Biomedical Optics. 28(6). 66002–66002. 8 indexed citations
10.
Li, Fu, et al.. (2023). Computationally efficient deep learning-based image reconstruction for sound speed estimation in ultrasound computed tomography. The Journal of the Acoustical Society of America. 153(3_supplement). A243–A243. 1 indexed citations
11.
Li, Fu, et al.. (2023). Optimal design of rectangular mirror based on topology and size optimization. Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics). 20–20. 1 indexed citations
12.
Li, Fu, Umberto Villa, Nebojsa Duric, & Mark A. Anastasio. (2023). A Forward Model Incorporating Elevation-Focused Transducer Properties for 3-D Full-Waveform Inversion in Ultrasound Computed Tomography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(10). 1339–1354. 6 indexed citations
13.
Li, Fu, et al.. (2022). Learned Hotelling observers for use with multi-modal data. 11316. 44–44. 1 indexed citations
14.
Li, Fu, Michelle Ulrich, Vincent Feng-Sheng Shih, et al.. (2019). Mouse Strains Influence Clearance and Efficacy of Antibody and Antibody–Drug Conjugate Via Fc–FcγR Interaction. Molecular Cancer Therapeutics. 18(4). 780–787. 37 indexed citations
15.
Li, Fu, Michelle Ulrich, Mechthild Jonas, et al.. (2017). Tumor-Associated Macrophages Can Contribute to Antitumor Activity through FcγR-Mediated Processing of Antibody–Drug Conjugates. Molecular Cancer Therapeutics. 16(7). 1347–1354. 53 indexed citations
16.
Zhu, Yingting, Fu Li, Bo Han, et al.. (2014). Activation of RhoA-ROCK-BMP signaling reprograms adult human corneal endothelial cells. The Journal of Cell Biology. 206(6). 799–811. 34 indexed citations
17.
Lyon, Robert P., Jocelyn R. Setter, Tim D. Bovee, et al.. (2014). Self-hydrolyzing maleimides improve the stability and pharmacological properties of antibody-drug conjugates. Nature Biotechnology. 32(10). 1059–1062. 358 indexed citations breakdown →
18.
Li, Ji, et al.. (2010). Toxicities of aristolochic acid I and aristololactam I in cultured renal epithelial cells. Toxicology in Vitro. 24(4). 1092–1097. 57 indexed citations
19.
Li, Fu. (2009). Numerical Simulation and Transmitting Vibration Analysis for Middle-Ear Structure. Jisuanji fangzhen. 4 indexed citations
20.
Zhou, Shiyong, et al.. (2002). The quantitative analysis approach for a heart sound information system. 3. 1620–1621. 4 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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