Ying Hou

2.5k total citations · 1 hit paper
54 papers, 1.8k citations indexed

About

Ying Hou is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ying Hou has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in Ying Hou's work include Radiomics and Machine Learning in Medical Imaging (18 papers), Prostate Cancer Diagnosis and Treatment (13 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Ying Hou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Prostate Cancer Diagnosis and Treatment (13 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Ying Hou collaborates with scholars based in China, United States and Netherlands. Ying Hou's co-authors include Raymond H. Mak, Hugo J.W.L. Aerts, Thibaud Coroller, Patrick Großmann, Vishesh Agrawal, Vivek Narayan, Benjamin Haibe‐Kains, Gretchen Hermann, Ralph T. H. Leijenaar and Emmanuel Rios Velazquez and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Ying Hou

52 papers receiving 1.8k citations

Hit Papers

CT-based radiomic signature predicts distant metastasis i... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Ying Hou
Ying Hou
Citations per year, relative to Ying Hou Ying Hou (= 1×) peers Sylvain Reuzé

Countries citing papers authored by Ying Hou

Since Specialization
Citations

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

Fields of papers citing papers by Ying Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Hou. A scholar is included among the top collaborators of Ying Hou 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 Ying Hou. Ying Hou 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.
Bao, Jie, Ying Hou, Dongmei Wu, et al.. (2023). PI-RADSAI: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRI. British Journal of Cancer. 128(6). 1019–1029. 19 indexed citations
2.
Bao, Jie, Ying Hou, Rui Zhi, et al.. (2023). High-throughput precision MRI assessment with integrated stack-ensemble deep learning can enhance the preoperative prediction of prostate cancer Gleason grade. British Journal of Cancer. 128(7). 1267–1277. 8 indexed citations
3.
Hou, Ying, Lili Wang, Rui Zhi, et al.. (2023). Biopsy-free AI-aided precision MRI assessment in prediction of prostate cancer biochemical recurrence. British Journal of Cancer. 129(10). 1625–1633. 10 indexed citations
4.
Song, Yang, Ying Hou, Rui Zhi, et al.. (2022). Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study. Journal of Magnetic Resonance Imaging. 57(5). 1352–1364. 14 indexed citations
5.
Klink, Andrew J., Ajeet Gajra, Russell L. Knoth, et al.. (2022). Real-world clinical outcomes with enasidenib in relapsed or refractory acute myeloid leukemia. Leukemia Research. 122. 106946–106946. 1 indexed citations
6.
Hou, Ying, Yihong Zhang, Jie Bao, et al.. (2021). Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study. European Journal of Nuclear Medicine and Molecular Imaging. 48(12). 3805–3816. 30 indexed citations
7.
Song, Yang, Jing Zhang, Yu‐Dong Zhang, et al.. (2020). FeAture Explorer (FAE): A tool for developing and comparing radiomics models. PLoS ONE. 15(8). e0237587–e0237587. 188 indexed citations
8.
Bao, Jie, Rui Zhi, Ying Hou, et al.. (2020). Optimized MRI Assessment for Clinically Significant Prostate Cancer: A STARD‐Compliant Two‐Center Study. Journal of Magnetic Resonance Imaging. 53(4). 1210–1219. 12 indexed citations
9.
Hou, Ying, Meiling Bao, Chen‐Jiang Wu, et al.. (2020). A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions. Abdominal Radiology. 45(12). 4223–4234. 34 indexed citations
10.
Hou, Ying, et al.. (2020). <p>Different Proteins Regulated Apoptosis, Proliferation and Metastasis of Lung Adenocarcinoma After Radiotherapy at Different Time</p>. Cancer Management and Research. Volume 12. 2437–2447. 3 indexed citations
11.
Hou, Ying, Hongjun Xiang, Xianxiu Wan, et al.. (2017). Aspartate β-hydroxylase disrupts mitochondrial DNA stability and function in hepatocellular carcinoma. Oncogenesis. 6(7). e362–e362. 16 indexed citations
12.
Franco, Idalid, Yu‐Hui Chen, Fallon Chipidza, et al.. (2017). Use of frailty to predict survival in elderly patients with early stage non-small-cell lung cancer treated with stereotactic body radiation therapy. Journal of Geriatric Oncology. 9(2). 130–137. 36 indexed citations
13.
Agrawal, Vishesh, Thibaud Coroller, Ying Hou, et al.. (2017). Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLC. PLoS ONE. 12(4). e0174268–e0174268. 7 indexed citations
14.
Hou, Ying, et al.. (2016). Functional and morphological outcome after pyeloplasty for children with unilateral hydronephrosis. Zhonghua miniao waike zazhi. 37(6). 431–435. 1 indexed citations
15.
Zhao, Qi, et al.. (2016). Screening and identification of the differentially expressed proteins in neonatal rat kidney after partial unilateral ureteral obstruction. Molecular Medicine Reports. 14(1). 681–688. 5 indexed citations
16.
Gavine, Paul R., Mei Wang, Dehua Yu, et al.. (2015). Identification and validation of dysregulated MAPK7 (ERK5) as a novel oncogenic target in squamous cell lung and esophageal carcinoma. BMC Cancer. 15(1). 454–454. 26 indexed citations
17.
Coroller, Thibaud, Patrick Großmann, Ying Hou, et al.. (2015). CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiotherapy and Oncology. 114(3). 345–350. 547 indexed citations breakdown →
18.
Hou, Ying, et al.. (2011). Celastrus orbiculatus extract inhibits the xenograft tumor growth of HepA1-6 hepatoma in mice. Tumori. 31(11). 999–1003. 1 indexed citations
19.
Hou, Ying, et al.. (2011). Vesical Varices Causing Gross Hematuria in a Four-year-old Girl. Urology. 79(4). 902–905. 2 indexed citations
20.
Yang, Yi, et al.. (2007). Ureteral polyps: an etiological factor of hydronephrosis in children that should not be ignored. Pediatric Surgery International. 23(4). 323–326. 26 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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