Xiaomeng Lei

735 total citations
44 papers, 450 citations indexed

About

Xiaomeng Lei is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Xiaomeng Lei has authored 44 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 13 papers in Biomedical Engineering. Recurrent topics in Xiaomeng Lei's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Advanced X-ray and CT Imaging (11 papers) and Renal cell carcinoma treatment (8 papers). Xiaomeng Lei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Advanced X-ray and CT Imaging (11 papers) and Renal cell carcinoma treatment (8 papers). Xiaomeng Lei collaborates with scholars based in United States, China and Norway. Xiaomeng Lei's co-authors include Steven Cen, Bino Varghese, Vinay Duddalwar, Darryl Hwang, Bhushan Desai, Assad A. Oberai, Inderbir S. Gill, Mihir Desai, Brandon K.K. Fields and Natalie L. Demirjian and has published in prestigious journals such as Scientific Reports, The Journal of Urology and Molecules.

In The Last Decade

Xiaomeng Lei

38 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomeng Lei United States 12 297 199 117 58 58 44 450
Arash Mahdavi Iran 11 180 0.6× 78 0.4× 51 0.4× 40 0.7× 25 0.4× 27 392
Niki Oveisi Canada 8 190 0.6× 81 0.4× 67 0.6× 20 0.3× 39 0.7× 15 415
Shadi Aminololama‐Shakeri United States 12 200 0.7× 171 0.9× 71 0.6× 20 0.3× 84 1.4× 31 389
Sarim Ather United Kingdom 9 343 1.2× 254 1.3× 67 0.6× 18 0.3× 63 1.1× 30 466
Cláudia Sà dos Reis Switzerland 12 226 0.8× 109 0.5× 72 0.6× 27 0.5× 69 1.2× 47 394
Lei Cui China 11 236 0.8× 89 0.4× 65 0.6× 50 0.9× 51 0.9× 27 403
Lorentz G.B.A. Quekel Netherlands 8 284 1.0× 219 1.1× 43 0.4× 48 0.8× 35 0.6× 9 437
Curtise K. C. Ng Australia 15 345 1.2× 68 0.3× 189 1.6× 93 1.6× 40 0.7× 53 555
Andrew Colucci United States 5 227 0.8× 75 0.4× 71 0.6× 33 0.6× 84 1.4× 8 380
Victor C. W. Tam Hong Kong 7 143 0.5× 74 0.4× 35 0.3× 22 0.4× 17 0.3× 13 252

Countries citing papers authored by Xiaomeng Lei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomeng Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomeng Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomeng Lei. A scholar is included among the top collaborators of Xiaomeng Lei 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 Xiaomeng Lei. Xiaomeng Lei 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.
Pawan, S. J., A. Ian Smith, Darryl Hwang, et al.. (2025). Analyzing foundation models for segmentation of osseous metastatic lesions in prostate cancer on CT scans. 5. 100058–100058.
2.
Pawan, S. J., Xiaomeng Lei, Mihir Desai, et al.. (2025). Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach. Multimodal Technologies and Interaction. 9(5). 49–49. 2 indexed citations
3.
Patel, Daksh, Marcus Muellner, Darryl Hwang, et al.. (2025). Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography. PubMed. 2. 100005–100005. 4 indexed citations
4.
5.
Varghese, Bino, Steven Cen, Joshua Levy, et al.. (2023). Investigating the role of imaging factors in the variability of CT‐based texture analysis metrics. Journal of Applied Clinical Medical Physics. 25(4). e14192–e14192. 8 indexed citations
6.
Cen, Steven, et al.. (2023). Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach. 20. 1–5. 1 indexed citations
7.
Lei, Xiaomeng, Tao Yang, Yuhuan Wu, et al.. (2023). Preparation and In Vitro and In Vivo Evaluation of Rectal In Situ Gel of Meloxicam Hydroxypropyl-β-cyclodextrin Inclusion Complex. Molecules. 28(10). 4099–4099. 4 indexed citations
8.
Reddy, Sravanthi, et al.. (2023). Work-Life Experience of Academic Radiologists: Food for Thought. Academic Radiology. 30(4). 579–584. 10 indexed citations
9.
Fields, Brandon K.K., Natalie L. Demirjian, Steven Cen, et al.. (2023). Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach. Molecular Imaging and Biology. 25(4). 776–787. 15 indexed citations
10.
Ghoreifi, Alireza, Steven Cen, Bino Varghese, et al.. (2023). Sarcopenia and body fat change as risk factors for radiologic incisional hernia following robotic nephrectomy. Skeletal Radiology. 52(12). 2469–2477.
11.
Varghese, Bino, Steven Cen, Haris Zahoor, et al.. (2022). Feasibility of using CT radiomic signatures for predicting CD8-T cell infiltration and PD-L1 expression in renal cell carcinoma. European Journal of Radiology Open. 9. 100440–100440. 8 indexed citations
12.
Lei, Xiaomeng, et al.. (2022). The scoping study of Kazakhstan-China-Republic of Korea power interconnection. Global Energy Interconnection. 5(5). 484–500. 2 indexed citations
13.
Patel, Dhruv, Bhushan Desai, Xiaomeng Lei, et al.. (2021). Machine learning based predictors for COVID-19 disease severity. Scientific Reports. 11(1). 4673–4673. 56 indexed citations
14.
Fields, Brandon K.K., Natalie L. Demirjian, Darryl Hwang, et al.. (2021). Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors. European Radiology. 31(11). 8522–8535. 29 indexed citations
15.
Nassiri, Nima, Marissa Maas, Giovanni Cacciamani, et al.. (2021). A Radiomic-based Machine Learning Algorithm to Reliably Differentiate Benign Renal Masses from Renal Cell Carcinoma. European Urology Focus. 8(4). 988–994. 29 indexed citations
16.
Varghese, Bino, Darryl Hwang, Steven Cen, et al.. (2021). Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. Journal of Digital Imaging. 34(5). 1156–1170. 22 indexed citations
17.
Hung, Andrew J., Runzhuo Ma, Steven Cen, et al.. (2021). Surgeon Automated Performance Metrics as Predictors of Early Urinary Continence Recovery After Robotic Radical Prostatectomy—A Prospective Bi-institutional Study. European Urology Open Science. 27. 65–72. 26 indexed citations
18.
Hovanessian‐Larsen, Linda, Bhushan Desai, Steven Cen, et al.. (2021). Addressing ethnic disparities in imaging utilization and clinical outcomes for COVID-19. Clinical Imaging. 77. 276–282.
19.
Yap, Felix Y., Bino Varghese, Steven Cen, et al.. (2020). Shape and texture-based radiomics signature on CT effectively discriminates benign from malignant renal masses. European Radiology. 31(2). 1011–1021. 54 indexed citations
20.
Reilly, Michael, et al.. (2020). Daily Ultrasound Imaging for Patients Undergoing Postprostatectomy Radiation Therapy Predicts and Ensures Dosimetric Endpoints. Advances in Radiation Oncology. 5(6). 1206–1212.

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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