Zhenghan Yang

2.3k total citations
173 papers, 1.5k citations indexed

About

Zhenghan Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology. According to data from OpenAlex, Zhenghan Yang has authored 173 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 36 papers in Epidemiology and 34 papers in Hepatology. Recurrent topics in Zhenghan Yang's work include Radiomics and Machine Learning in Medical Imaging (30 papers), Liver Disease Diagnosis and Treatment (28 papers) and MRI in cancer diagnosis (26 papers). Zhenghan Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (30 papers), Liver Disease Diagnosis and Treatment (28 papers) and MRI in cancer diagnosis (26 papers). Zhenghan Yang collaborates with scholars based in China, United States and South Korea. Zhenghan Yang's co-authors include Zhenchang Wang, Pengfei Zhao, Han Lv, Dawei Yang, Shusheng Gong, Heyu Ding, Qian Chen, Zhaodi Wang, Yi He and Erhu Jin and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Radiology.

In The Last Decade

Zhenghan Yang

158 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenghan Yang China 20 666 268 244 220 210 173 1.5k
Masahiro Ida Japan 20 576 0.9× 116 0.4× 261 1.1× 390 1.8× 347 1.7× 47 1.3k
Woo Hyun Shim South Korea 23 1.0k 1.5× 164 0.6× 153 0.6× 248 1.1× 154 0.7× 103 1.9k
Antonio Palla Italy 24 150 0.2× 110 0.4× 409 1.7× 374 1.7× 76 0.4× 83 1.9k
Joji Kawabe Japan 22 507 0.8× 57 0.2× 336 1.4× 295 1.3× 235 1.1× 114 1.7k
Shuichi Higano Japan 28 804 1.2× 202 0.8× 554 2.3× 286 1.3× 44 0.2× 70 2.1k
Ji Young Lee South Korea 18 218 0.3× 63 0.2× 151 0.6× 173 0.8× 36 0.2× 87 1.1k
Tosiaki Miyati Japan 21 1.1k 1.6× 176 0.7× 152 0.6× 199 0.9× 126 0.6× 224 1.9k
Alexander Poellinger Germany 19 390 0.6× 91 0.3× 320 1.3× 32 0.1× 77 0.4× 60 1.3k
Chang‐Woo Ryu South Korea 28 633 1.0× 151 0.6× 765 3.1× 559 2.5× 20 0.1× 126 2.2k
T Nishimura Japan 23 695 1.0× 153 0.6× 301 1.2× 258 1.2× 128 0.6× 71 1.7k

Countries citing papers authored by Zhenghan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenghan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenghan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenghan Yang. A scholar is included among the top collaborators of Zhenghan Yang 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 Zhenghan Yang. Zhenghan Yang 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.
2.
Huang, Pu, Zhenghan Yang, Jing Zhou, et al.. (2025). Balancing *CHO/*CO Intermediate Flux via Carbonyl-Hydroxyl Motif Synergy Enables High-Selectivity Ethanol Electrosynthesis from Dilute CO2. Journal of the American Chemical Society. 147(25). 22062–22071. 8 indexed citations
3.
Yu, Hongyuan, et al.. (2025). SliceMamba With Neural Architecture Search for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(10). 7446–7458. 5 indexed citations
4.
Chen, Qian, et al.. (2024). Mendelian randomization analyses support causal relationships between tinnitus of different stages and severity and structural characteristics of specific brain regions. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 133. 111027–111027. 1 indexed citations
5.
Wei, Jianyong, Mengfei Wang, Xueqian Xie, et al.. (2024). Knowledge-Augmented Deep Learning for Segmenting and Detecting Cerebral Aneurysms With CT Angiography: A Multicenter Study. Radiology. 312(2). e233197–e233197. 5 indexed citations
6.
Chen, Zhiwei, Wang Li, Zhenghan Yang, et al.. (2024). Prevalence of lumbar disc herniation and its associated factors: A cross-sectional study in Gansu. PLoS ONE. 19(12). e0310550–e0310550. 2 indexed citations
7.
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Yang, Dawei, et al.. (2024). MRI-based radiomics model for predicting endometrial cancer with high tumor mutation burden. Abdominal Radiology. 50(4). 1822–1830. 3 indexed citations
9.
Xu, Hui, Dawei Yang, Xinyan Zhao, et al.. (2024). Intravoxel incoherent motion assessment of liver fibrosis staging in MASLD. Abdominal Radiology. 49(5). 1411–1418. 3 indexed citations
10.
Sun, Jing, Jia Li, Linkun Cai, et al.. (2023). Bidirectional Mendelian randomization study of insulin-related traits and risk of ovarian cancer. Frontiers in Endocrinology. 14. 1131767–1131767. 4 indexed citations
11.
Liu, Yiming, Yanwei Pang, Xuebin Sun, et al.. (2023). Dual states based reinforcement learning for fast MR scan and image reconstruction. Neurocomputing. 568. 127067–127067. 4 indexed citations
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He, Yi, Ning Guo, Nan Luo, et al.. (2023). A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images. BMC Medical Informatics and Decision Making. 23(1). 249–249. 3 indexed citations
14.
Xu, Ning, Heyu Ding, Xiaoshuai Li, et al.. (2023). Comparative study of the sensitivity of ultra-high-resolution CT and high-resolution CT in the diagnosis of isolated fenestral otosclerosis. Insights into Imaging. 14(1). 211–211. 5 indexed citations
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16.
Yang, Zhenghan, et al.. (2021). Bone Marrow Fat Measured by a Chemical Shift‐Encoded Sequence (IDEAL‐IQ) in Patients With and Without Metabolic Syndrome. Journal of Magnetic Resonance Imaging. 54(1). 146–153. 17 indexed citations
17.
Jin, Mei, Liyan Wang, Hao Wang, et al.. (2020). Structural and Functional Alterations in Hemodialysis Patients: A Voxel-Based Morphometry and Functional Connectivity Study. Frontiers in Human Neuroscience. 14. 80–80. 19 indexed citations
18.
Zhang, Peng, Yang Liu, Guowei Wu, et al.. (2020). Hierarchical integrated processing of reward-related regions in obese males: A graph-theoretical-based study. Appetite. 159. 105055–105055. 10 indexed citations
19.
Wang, Hao, Xue Han, Mei Jin, et al.. (2020). Different iron deposition patterns in hemodialysis patients with and without restless legs syndrome: a quantitative susceptibility mapping study. Sleep Medicine. 69. 34–40. 12 indexed citations
20.
Liu, Liheng, et al.. (2016). Correlation of MRI-detected extramural vascular invasion with regional lymph node metastasis in rectal cancer. Clinical Imaging. 40(3). 456–460. 29 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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