Zonghui Liang

586 total citations
34 papers, 385 citations indexed

About

Zonghui Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Surgery. According to data from OpenAlex, Zonghui Liang has authored 34 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Zonghui Liang's work include MRI in cancer diagnosis (7 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Zonghui Liang is often cited by papers focused on MRI in cancer diagnosis (7 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Zonghui Liang collaborates with scholars based in China, Germany and Finland. Zonghui Liang's co-authors include Tao Shou, Sijie Hao, Xiaoyuan Feng, Qiyong Guo, Deliang Fu, Chen Jin, Na Lu, Jinwei Qiang, Quanxing Ni and Jin Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neuroscience.

In The Last Decade

Zonghui Liang

32 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zonghui Liang China 12 122 74 70 68 63 34 385
Kota Yokoyama Japan 14 193 1.6× 29 0.4× 57 0.8× 104 1.5× 74 1.2× 50 513
Maria Ricci Italy 12 122 1.0× 53 0.7× 42 0.6× 27 0.4× 19 0.3× 41 365
Sarah Cader United Kingdom 7 125 1.0× 44 0.6× 40 0.6× 61 0.9× 19 0.3× 9 518
Daniel Barkmeier United States 11 102 0.8× 39 0.5× 93 1.3× 104 1.5× 93 1.5× 14 416
Ayşe Tuba Karagülle Kendi United States 13 313 2.6× 47 0.6× 93 1.3× 97 1.4× 44 0.7× 33 695
Nicholas J. Ferris Australia 11 175 1.4× 38 0.5× 29 0.4× 64 0.9× 21 0.3× 27 402
Brigitte Holst Germany 15 231 1.9× 38 0.5× 29 0.4× 52 0.8× 70 1.1× 31 631
Ian Craven United Kingdom 11 95 0.8× 49 0.7× 50 0.7× 18 0.3× 53 0.8× 22 520
Chandrasekhar Bal India 11 51 0.4× 42 0.6× 103 1.5× 53 0.8× 58 0.9× 35 398
Richard Bauer Austria 15 84 0.7× 45 0.6× 124 1.8× 35 0.5× 95 1.5× 31 577

Countries citing papers authored by Zonghui Liang

Since Specialization
Citations

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

Fields of papers citing papers by Zonghui Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zonghui Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Zonghui Liang. A scholar is included among the top collaborators of Zonghui Liang 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 Zonghui Liang. Zonghui Liang 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.
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Zhao, Lingzhou, et al.. (2024). Maximal diameters and mean computed tomography (CT) value of synchronous multiple pure ground-glass opacities in lung adenocarcinoma are smaller. Clinical Radiology. 79(9). e1101–e1107. 1 indexed citations
3.
Wang, Yitong, et al.. (2024). A feasibility study of in vivo quantitative ultra-short echo time-MRI for detecting early cartilage degeneration. Insights into Imaging. 15(1). 162–162. 4 indexed citations
4.
Zhang, Yixuan, et al.. (2022). Preliminary study on the assessment of early cartilage degeneration by quantitative ultrashort echo time magnetic resonance imaging in vivo. Quantitative Imaging in Medicine and Surgery. 12(7). 3803–3812. 5 indexed citations
5.
Gao, Yun, Yimin Wei, Yundong Shen, et al.. (2022). MRI-Based Optimization Design of the Pre-Spinal Route of Contralateral C7 Nerve Transfer for Spastic Arm Paralysis. Frontiers in Surgery. 9. 837872–837872. 2 indexed citations
6.
Liu, Ryan Wen, et al.. (2022). Computed tomography perfusion imaging evaluation of angiogenesis in patients with pancreatic adenocarcinoma. World Journal of Clinical Cases. 10(8). 2393–2403. 2 indexed citations
7.
Xia, Yiwei, Yi Wang, Lumeng Yang, et al.. (2021). Incident cerebral microbleeds and hypertension defined by the 2017 ACC/AHA Guidelines. Annals of Translational Medicine. 9(4). 314–314. 9 indexed citations
8.
Han, Peipei, Xin Yu, Peiyu Song, et al.. (2020). The Predictive Value of Sarcopenia and its Individual Criteria for Cardiovascular and All-Cause Mortality in Suburb-Dwelling Older Chinese. The journal of nutrition health & aging. 24(7). 765–771. 26 indexed citations
9.
Jiang, Huijie, et al.. (2020). Integrating Multi-Omics Data to Identify Novel Disease Genes and Single-Neucleotide Polymorphisms. Frontiers in Genetics. 10. 1336–1336. 6 indexed citations
10.
Liu, Changxia, Jianying Xi, Chong Sun, et al.. (2020). The correlation of clinical evaluation with life quality and mental status in a Chinese cohort with dysferlinopathy. Journal of Clinical Neuroscience. 81. 259–264. 1 indexed citations
11.
Zhang, Sufang, Bing Zhang, Guohua Wang, et al.. (2019). The application value of 3.0 T T1ρ and T2 mapping imaging in the study of cervical disc degeneration in patients. Zhonghua fangshexian yixue zazhi. 53(8). 702–706. 1 indexed citations
12.
Cai, Shuang, Mingshi Gao, Jianying Xi, et al.. (2019). Clinical spectrum and gene mutations in a Chinese cohort with anoctaminopathy. Neuromuscular Disorders. 29(8). 628–633. 9 indexed citations
13.
Peng, Xiuhua, Jin Li, & Zonghui Liang. (2017). Anastomosing haemangioma of liver: A case report. Molecular and Clinical Oncology. 7(3). 507–509. 14 indexed citations
14.
Ge, Jingjie, Chuantao Zuo, Yihui Guan, & Zonghui Liang. (2016). Enhanced MRI and 18F-FDG PET/CT Findings of Preoperative Primary Renal Collecting Duct Carcinoma. Clinical Nuclear Medicine. 41(12). 998–999.
15.
Cao, Huifang, et al.. (2014). A confirmed severe case of human infection with avian-origin influenza H7N9: A case report. Experimental and Therapeutic Medicine. 9(3). 693–696. 5 indexed citations
16.
Lu, Na, Xiaoyuan Feng, Sijie Hao, et al.. (2010). 64-Slice CT Perfusion Imaging of Pancreatic Adenocarcinoma and Mass-Forming Chronic Pancreatitis. Academic Radiology. 18(1). 81–88. 39 indexed citations
17.
Xu, Jin, Zonghui Liang, Sijie Hao, et al.. (2009). Pancreatic adenocarcinoma: dynamic 64-slice helical CT with perfusion imaging. Abdominal Imaging. 34(6). 759–766. 50 indexed citations
18.
Liang, Zonghui, et al.. (2008). Comparative study on the offset responses of simple cells and complex cells in the primary visual cortex of the cat. Neuroscience. 156(2). 365–373. 20 indexed citations
19.
20.
Liang, Zonghui, et al.. (2006). Posteromedial lateral suprasylvian motion area modulates direction but not orientation preference in area 17 of cats. Neuroscience. 142(3). 905–916. 21 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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