Jiaming Liu

1.5k total citations
48 papers, 716 citations indexed

About

Jiaming Liu is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Jiaming Liu has authored 48 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 20 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Computational Mechanics. Recurrent topics in Jiaming Liu's work include Medical Imaging Techniques and Applications (15 papers), Sparse and Compressive Sensing Techniques (13 papers) and Advanced MRI Techniques and Applications (11 papers). Jiaming Liu is often cited by papers focused on Medical Imaging Techniques and Applications (15 papers), Sparse and Compressive Sensing Techniques (13 papers) and Advanced MRI Techniques and Applications (11 papers). Jiaming Liu collaborates with scholars based in United States, China and Hong Kong. Jiaming Liu's co-authors include Ulugbek S. Kamilov, Yu Sun, Xiaojian Xu, Cihat Eldeniz, Hongyu An, Brendt Wohlberg, Lihang Feng, Mingyang Xie, Xue Mei and Xiang Song and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Jiaming Liu

43 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaming Liu United States 14 318 316 192 116 66 48 716
Ziwen Ke China 9 554 1.7× 221 0.7× 149 0.8× 163 1.4× 20 0.3× 15 742
Yoseob Han South Korea 11 766 2.4× 490 1.6× 250 1.3× 119 1.0× 26 0.4× 24 1.0k
Alper Güngör Türkiye 11 236 0.7× 290 0.9× 189 1.0× 140 1.2× 66 1.0× 41 726
Hyungjin Chung South Korea 10 327 1.0× 126 0.4× 198 1.0× 52 0.4× 23 0.3× 19 598
Marta M. Betcke United Kingdom 10 314 1.0× 409 1.3× 62 0.3× 60 0.5× 42 0.6× 34 614
Fangde Liu United Kingdom 5 489 1.5× 242 0.8× 213 1.1× 179 1.5× 22 0.3× 11 807
R. M. Vasu India 14 376 1.2× 434 1.4× 45 0.2× 31 0.3× 64 1.0× 99 657
Sathish Ramani United States 13 279 0.9× 166 0.5× 145 0.8× 150 1.3× 20 0.3× 35 491
Michael Iliadis United States 3 71 0.2× 103 0.3× 140 0.7× 76 0.7× 34 0.5× 6 361

Countries citing papers authored by Jiaming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Liu. A scholar is included among the top collaborators of Jiaming Liu 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 Jiaming Liu. Jiaming Liu 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.
Liu, Jiaming, Sixiang Chen, Zenghui Wang, et al.. (2025). Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation. 17347–17358.
2.
Liu, Jiaming, Qi Li, Yanqiu Feng, Qiugen Hu, & Shuangyang Zhang. (2024). Model‐based quantitative photoacoustic tomography with directional total variation. Journal of Biophotonics. 17(7). e202400128–e202400128.
3.
Liu, Jiaming, Lianhuan Han, Xiaoting Lin, et al.. (2024). Electrochemical magnetorheological finishing for hard-to-machine functional materials with nanometer-scaled surface roughness. The International Journal of Advanced Manufacturing Technology. 130(9-10). 4713–4722. 6 indexed citations
4.
Hu, Xuefeng, Lihang Feng, Zhiyuan Liu, et al.. (2024). AI-Enabled Portable E-Nose Regression Predicting Harmful Molecules in a Gas Mixture. ACS Sensors. 9(6). 2925–2934. 20 indexed citations
5.
Eldeniz, Cihat, et al.. (2024). SPICER: Self‐supervised learning for MRI with automatic coil sensitivity estimation and reconstruction. Magnetic Resonance in Medicine. 92(3). 1048–1063. 9 indexed citations
6.
Liu, Jiaming, Yue Wu, Maoguo Gong, et al.. (2024). M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3630–3638. 5 indexed citations
7.
Zhang, Rongyu, Yulin Luo, Jiaming Liu, et al.. (2024). Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16812–16820. 8 indexed citations
9.
Eldeniz, Cihat, et al.. (2023). Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction. IEEE Transactions on Computational Imaging. 9. 796–807. 8 indexed citations
10.
Liu, Ruochen, et al.. (2022). MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images. PLoS ONE. 17(11). e0278126–e0278126. 10 indexed citations
11.
Sun, Yu, et al.. (2022). Deformation-Compensated Learning for Image Reconstruction Without Ground Truth. IEEE Transactions on Medical Imaging. 41(9). 2371–2384. 9 indexed citations
12.
Liu, Fengde, et al.. (2022). The influence of laser etching biomimicking configuration on the strength of metal-plastic connection. Materials Research Express. 9(5). 56520–56520.
13.
Zhang, Shuangyang, et al.. (2022). Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method. Photoacoustics. 28. 100390–100390. 13 indexed citations
14.
Zhang, Song, et al.. (2022). Error Analysis for Repeatability Enhancement of a Dual-Rotation Mueller Matrix Ellipsometer. Frontiers in Physics. 9. 2 indexed citations
16.
Sun, Yu, Jiaming Liu, Yi-Ran Sun, Brendt Wohlberg, & Ulugbek S. Kamilov. (2021). Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. arXiv (Cornell University). 1 indexed citations
18.
Kothapalli, Satya V. V. N., et al.. (2020). Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images. Magnetic Resonance in Medicine. 84(6). 2932–2942. 12 indexed citations
19.
Chen, Yuntian, et al.. (2019). Study Progress of Radiomics With Machine Learning for Precision Medicine in Bladder Cancer Management. Frontiers in Oncology. 9. 1296–1296. 35 indexed citations
20.
Liu, Jiaming. (2003). Load assignment strategy for natural gas-fired boilers in Tsinghua University. Journal of Tsinghua University(Science and Technology). 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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