Wei Meng

2.5k total citations · 2 hit papers
35 papers, 1.4k citations indexed

About

Wei Meng is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wei Meng has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Ophthalmology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wei Meng's work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Wei Meng is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Wei Meng collaborates with scholars based in China, Australia and United States. Wei Meng's co-authors include Mingguang He, Stuart Keel, Zhixi Li, Robert T. Chang, Yifan He, Chi Liu, Jane Scheetz, Yan Song, Changjun Wu and Guangchen Zhang and has published in prestigious journals such as PLoS ONE, Diabetes Care and Ophthalmology.

In The Last Decade

Wei Meng

32 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

2018 533 citations Zhixi Li, Yifan He et al. Ophthalmology profile →
Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-Gene cfDNA-based comprehensive genomic profiling assay for cancers of solid tumor origin

2020 265 citations Meijuan Li, Jason D. Hughes et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Meng China	11	1.0k	742	201	167	160	35	1.4k
Michael Grunkin Denmark	7	335 0.3×	206 0.3×	75 0.4×	31 0.2×	91 0.6×	10	613
Rolf Bendl Germany	18	495 0.5×	103 0.1×	31 0.2×	199 1.2×	72 0.5×	61	897
Erkin Arıbal Türkiye	16	363 0.4×	70 0.1×	80 0.4×	123 0.7×	11 0.1×	102	931
Mohammadhadi Bagheri United States	19	535 0.5×	26 0.0×	72 0.4×	299 1.8×	59 0.4×	66	1.5k
Rizwan Malik Saudi Arabia	19	933 0.9×	1.1k 1.5×	11 0.1×	59 0.4×	11 0.1×	83	1.6k
Chung‐Ming Lo Taiwan	21	746 0.7×	21 0.0×	53 0.3×	157 0.9×	284 1.8×	62	1.2k
J. Donate-López Spain	18	804 0.8×	1.1k 1.4×	22 0.1×	28 0.2×	18 0.1×	80	1.2k
Sivan Lieberman Israel	11	230 0.2×	57 0.1×	19 0.1×	39 0.2×	86 0.5×	29	711
Thomas S. Hwang United States	36	4.2k 4.2×	4.7k 6.3×	14 0.1×	1.4k 8.2×	150 0.9×	117	5.5k

Countries citing papers authored by Wei Meng

Since Specialization

Citations

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

Fields of papers citing papers by Wei Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Meng. A scholar is included among the top collaborators of Wei Meng 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 Wei Meng. Wei Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Xiaolong, Ping Wang, Yingjie Li, et al.. (2025). Deep learning model using CT images for longitudinal prediction of benign and malignant ground-glass nodules. European Journal of Radiology. 190. 112252–112252.

Shang, Shuai, et al.. (2025). Construction and Validation of a Hospital Mortality Risk Model for Advanced Elderly Patients with Heart Failure Based on Machine Learning. International Journal of General Medicine. Volume 18. 3277–3288. 1 indexed citations

Long, Ling, et al.. (2025). Harnessing theta waves: tACS as a breakthrough in alleviating post-stroke chronic pain. Frontiers in Neuroscience. 19. 1553862–1553862. 1 indexed citations

Zhang, Jianxu, Jian Ouyang, Jinglong Wu, et al.. (2025). Amplitude of Intracranial Induced Electric Fields Does Not Linearly Decrease with Age: A Computational Study of Anatomical Effects in Adults. Biosensors. 15(3). 185–185.

Wang, Li, Yanlin Chen, Zhixin Piao, et al.. (2025). Medial parietal alpha-frequency transcranial alternating current stimulation for chronic insomnia: a randomized sham-controlled trial. Psychological Medicine. 55. e102–e102. 1 indexed citations

Wang, Chengyi, Ting Lu, Yan Huang, et al.. (2024). Plasma Inflammation Markers Linked to Complications and Outcomes after Spontaneous Intracerebral Hemorrhage. Journal of Proteome Research. 23(10). 4369–4383. 2 indexed citations

Wang, Ping, et al.. (2023). A new nomogram for assessing complete response (CR) in gastric diffuse large B-cell lymphoma (DLBCL) patients after chemotherapy. Journal of Cancer Research and Clinical Oncology. 149(12). 9757–9765. 1 indexed citations

Silverman, Ian M., Meijuan Li, Karthikeyan Murugesan, et al.. (2022). Validation and Characterization of FGFR2 Rearrangements in Cholangiocarcinoma with Comprehensive Genomic Profiling. Journal of Molecular Diagnostics. 24(4). 351–364. 8 indexed citations

Peng, Haiyong, Xiaodan Chen, Kaige Chen, et al.. (2022). A Clinical Assessment of a Magnetic Resonance Computer-Aided Diagnosis System in the Detection of Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer. Frontiers in Oncology. 12. 784839–784839. 1 indexed citations

10.

Meng, Wei, et al.. (2021). Computer-Aided Diagnosis Evaluation of the Correlation Between Magnetic Resonance Imaging With Molecular Subtypes in Breast Cancer. Frontiers in Oncology. 11. 693339–693339. 7 indexed citations

11.

Li, Meijuan, Jason D. Hughes, Joel Skoletsky, et al.. (2020). Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-Gene cfDNA-based comprehensive genomic profiling assay for cancers of solid tumor origin. PLoS ONE. 15(9). e0237802–e0237802. 265 indexed citations breakdown →

12.

Keel, Stuart, Zhixi Li, Jane Scheetz, et al.. (2019). Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs. Clinical and Experimental Ophthalmology. 47(8). 1009–1018. 60 indexed citations

13.

Siau, Anthony, Ximei Huang, Wei Meng, et al.. (2019). Immunomic Identification of Malaria Antigens Associated With Protection in Mice. Molecular & Cellular Proteomics. 18(5). 837a–853. 1 indexed citations

14.

Liu, Chi, Xiaotong Han, Zhixi Li, et al.. (2019). A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography. PLoS ONE. 14(9). e0222025–e0222025. 12 indexed citations

15.

Huang, Kuan, et al.. (2019). Preliminary results of computer-aided diagnosis for magnetic resonance imaging of solid breast lesions. Breast Cancer Research and Treatment. 177(2). 419–426. 9 indexed citations

16.

Li, Zhixi, Stuart Keel, Chi Liu, et al.. (2018). An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs. Diabetes Care. 41(12). 2509–2516. 191 indexed citations

17.

Li, Zhixi, Yifan He, Stuart Keel, et al.. (2018). Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs. Ophthalmology. 125(8). 1199–1206. 533 indexed citations breakdown →

18.

Meng, Wei, et al.. (2013). Initial experience of acoustic radiation force impulse ultrasound imaging of cervical lymph nodes. European Journal of Radiology. 82(10). 1788–1792. 38 indexed citations

19.

Meng, Wei, et al.. (2011). WITHDRAWN: Acoustic radiation force impulse (ARFI) ultrasound imaging of breast lesions. European Journal of Radiology. 2 indexed citations

20.

Meng, Wei. (2006). Verify the uniformity of CIE1964 LUV and CIE1976 LAB color space with MacAdam ellipses. Packaging Engineering. 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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