Yaming Li

2.0k total citations · 1 hit paper
70 papers, 1.4k citations indexed

About

Yaming Li is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Yaming Li has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Cancer Research. Recurrent topics in Yaming Li's work include Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Yaming Li is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Yaming Li collaborates with scholars based in China, United States and United Kingdom. Yaming Li's co-authors include Xuena Li, Hui Shen, Dewen Hu, Li Liu, Baojuan Li, Lubin Wang, Zongtan Zhou, Ling‐Li Zeng, Peng Fang and Bulin Du and has published in prestigious journals such as Journal of Clinical Oncology, Brain and Scientific Reports.

In The Last Decade

Yaming Li

61 papers receiving 1.4k citations

Hit Papers

Identifying major depression using whole-brain functional... 2012 2026 2016 2021 2012 200 400 600
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. Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis
    2012 607 citations Yaming 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
Yaming Li China 17 528 453 264 254 175 70 1.4k
Koichi Ishizu Japan 24 547 1.0× 711 1.6× 217 0.8× 279 1.1× 184 1.1× 69 1.9k
Tianyi Qian China 20 600 1.1× 627 1.4× 114 0.4× 216 0.9× 88 0.5× 58 1.5k
Liling Long China 23 321 0.6× 556 1.2× 127 0.5× 172 0.7× 108 0.6× 105 1.6k
Ke Xu China 23 310 0.6× 195 0.4× 318 1.2× 157 0.6× 130 0.7× 73 1.3k
Agostino Chiaravalloti Italy 26 243 0.5× 568 1.3× 194 0.7× 400 1.6× 57 0.3× 131 2.0k
Nanette Freedman Israel 25 210 0.4× 612 1.4× 198 0.8× 251 1.0× 83 0.5× 50 1.7k
Martin Griebe Germany 27 262 0.5× 305 0.7× 197 0.7× 334 1.3× 33 0.2× 64 2.0k
Valentina Doria Italy 24 449 0.9× 469 1.0× 616 2.3× 298 1.2× 21 0.1× 58 2.3k
Kevin O’Neill United Kingdom 18 290 0.5× 181 0.4× 116 0.4× 239 0.9× 47 0.3× 54 1.2k

Countries citing papers authored by Yaming Li

Since Specialization
Citations

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

Fields of papers citing papers by Yaming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yaming Li. A scholar is included among the top collaborators of Yaming 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 Yaming Li. Yaming 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, Yaming, Ruixi Liu, Yong‐Tao Cui, et al.. (2025). Interface trap density in ITO/Si Schottky junction photodetectors. Materials Science in Semiconductor Processing. 193. 109482–109482.
2.
Li, Yaming, et al.. (2025). Secure Beamforming and Power Allocation for RIS-Assisted NOMA-ISAC Systems With Internal and External Eavesdroppers. IEEE Transactions on Cognitive Communications and Networking. 12. 896–911.
3.
Gu, Qiang, et al.. (2025). High-entropy (CrCoFeMnNi)3O4 ceramic with high emissivity for energy saving. Ceramics International. 51(27). 54399–54406.
4.
5.
Ma, Yu, et al.. (2025). Fibroblast activation Protein-Targeted PET/CT using [18 F]FAP-2286 for the evaluation of lung cancer: A comparative study with [18 F]FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 786–799.
6.
7.
Pan, Mingming, Min Gao, Yan Xu, et al.. (2025). Efficacy and safety of HSK21542 for pruritus management in hemodialysis patients: a multicenter, randomized, double-blind, placebo-controlled trial. Frontiers in Pharmacology. 16. 1583515–1583515.
8.
Cui, Yan, et al.. (2023). PTPRH promotes the progression of non-small cell lung cancer via glycolysis mediated by the PI3K/AKT/mTOR signaling pathway. Journal of Translational Medicine. 21(1). 819–819. 25 indexed citations
9.
Chen, Yang, Ximing Wang, Xiaofang Che, et al.. (2023). Hypoxia-induced ALDH3A1 promotes the proliferation of non-small-cell lung cancer by regulating energy metabolism reprogramming. Cell Death and Disease. 14(9). 617–617. 28 indexed citations
10.
Wang, Shu, et al.. (2023). Asymptomatic Prostate Cancer Metastasis in Rectal Mucosa Revealed by 18F-PSMA-1007 PET/CT. Clinical Nuclear Medicine. 48(4). 354–355. 2 indexed citations
11.
12.
Du, Bulin, Shu Wang, Yi Liu, Yaming Li, & Xuena Li. (2022). Metastatic Papillary Thyroid Cancer Mimicking Hypopharyngeal Carcinoma. Clinical Nuclear Medicine. 48(1). 90–91. 2 indexed citations
13.
Li, Yaming, et al.. (2021). Likely Common Role of Hypoxia in Driving 18 F-FDG Uptake in Cancer, Myocardial Ischemia, Inflammation and Infection. Cancer Biotherapy and Radiopharmaceuticals. 36(8). 624–631. 12 indexed citations
14.
Du, Bulin, Chunrong Qu, Kun Qian, et al.. (2019). An IR820 Dye–Protein Complex for Second Near‐Infrared Window and Photoacoustic Imaging. Advanced Optical Materials. 8(4). 59 indexed citations
15.
Li, Xuena, et al.. (2019). MicroRNA-4458 suppresses migration and epithelial–mesenchymal transition via targeting HMGA1 in non-small-cell lung cancer cells. Cancer Management and Research. Volume 11. 637–649. 23 indexed citations
16.
17.
Li, Xue‐Nan, et al.. (2014). MicroRNA-106a confers cisplatin resistance in non-small cell lung cancer A549 cells by targeting adenosine triphosphatase-binding cassette A1. Molecular Medicine Reports. 11(1). 625–632. 48 indexed citations
18.
19.
Shao, Haibo, Yicheng Ni, Xu Dai, et al.. (2011). Diffusion-weighted MR imaging allows monitoring the effect of combretastatin A4 phosphate on rabbit implanted VX2 tumor model: 12-Day dynamic results. European Journal of Radiology. 81(3). 578–583. 14 indexed citations
20.
Zhu, Guangwen, Hong Li, Yanjun Zhang, et al.. (2011). Concomitant pulmonary and thyroid tumors identified by FDG PET/CT and immunohistochemical techniques. World Journal of Surgical Oncology. 9(1). 119–119. 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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