Guohui Zhou

639 total citations · 2 hit papers
35 papers, 446 citations indexed

About

Guohui Zhou is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Guohui Zhou has authored 35 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Guohui Zhou's work include Coronary Interventions and Diagnostics (6 papers), Photoacoustic and Ultrasonic Imaging (5 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Guohui Zhou is often cited by papers focused on Coronary Interventions and Diagnostics (6 papers), Photoacoustic and Ultrasonic Imaging (5 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Guohui Zhou collaborates with scholars based in China, United States and Greece. Guohui Zhou's co-authors include Zhengtong Yin, Wenfeng Zheng, Lirong Yin, Xuan Liu, Yuanyuan Wang, Mingzhe Liu, Tianyi Shi, Xiaolu Li, Minghui Kong and Yi Guo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Physics in Medicine and Biology.

In The Last Decade

Guohui Zhou

34 papers receiving 439 citations

Hit Papers

Emotion classification for short texts: an improved multi... 2023 2026 2024 2023 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohui Zhou China 10 127 96 80 65 64 35 446
Noemi Scarpato Italy 11 165 1.3× 171 1.8× 105 1.3× 96 1.5× 34 0.5× 25 610
Muhammad Azeem Akbar Finland 11 99 0.8× 148 1.5× 77 1.0× 50 0.8× 50 0.8× 53 458
Reza Samavi Canada 10 195 1.5× 155 1.6× 56 0.7× 39 0.6× 59 0.9× 48 598
Maqbool Khan China 13 131 1.0× 136 1.4× 140 1.8× 32 0.5× 69 1.1× 50 637
Jens Müller Germany 10 62 0.5× 54 0.6× 86 1.1× 75 1.2× 21 0.3× 47 397
Muhannad A. Abu‐Hashem Saudi Arabia 7 181 1.4× 60 0.6× 63 0.8× 79 1.2× 82 1.3× 19 558
A. A. Abd El-Aziz Saudi Arabia 11 98 0.8× 62 0.6× 52 0.7× 87 1.3× 49 0.8× 50 427
Yunkai Zhai China 15 72 0.6× 84 0.9× 125 1.6× 28 0.4× 18 0.3× 37 642
Enrique Campos-Náñez United States 14 53 0.4× 44 0.5× 74 0.9× 33 0.5× 37 0.6× 35 674

Countries citing papers authored by Guohui Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Guohui Zhou. A scholar is included among the top collaborators of Guohui Zhou 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 Guohui Zhou. Guohui Zhou 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.
Wang, Yanan, et al.. (2025). Bridging the gap between computer vision and bioelectrical signal analysis. Information Fusion. 129. 104047–104047.
2.
Wang, Yanan, et al.. (2025). PULSE: A personalized physiological signal analysis framework via unsupervised domain adaptation and self-adaptive learning. Expert Systems with Applications. 278. 127317–127317. 1 indexed citations
3.
Yang, Liangliang, Guohui Zhou, Haibo Liu, et al.. (2024). Staging Chronic Hepatitis B Related Liver Fibrosis with Diffusion-weighted MRI-based Virtual Elastography: Comparisons with Serum Fibrosis Indexes. Clinical Radiology. 80. 106750–106750. 1 indexed citations
4.
Ni, Yi‐Qing, et al.. (2024). Active learning based on multi-enhanced views for classification of multiple patterns in lung ultrasound images. Computerized Medical Imaging and Graphics. 118. 102454–102454. 2 indexed citations
5.
Yu, Qingyuan, et al.. (2024). Mechanisms of chondrocyte cell death in osteoarthritis: implications for disease progression and treatment. Journal of Orthopaedic Surgery and Research. 19(1). 550–550. 16 indexed citations
6.
Liu, Xuan, Guohui Zhou, Minghui Kong, et al.. (2023). Developing Multi-Labelled Corpus of Twitter Short Texts: A Semi-Automatic Method. Systems. 11(8). 390–390. 111 indexed citations breakdown →
7.
Yang, Hongbo, Yanan Qu, Guohui Zhou, et al.. (2023). 3D pyramidal densely connected network with cross-frame uncertainty guidance for intravascular ultrasound sequence segmentation. Physics in Medicine and Biology. 68(5). 55001–55001. 1 indexed citations
9.
Wang, Yanan, Guohui Zhou, & Cuiwei Yang. (2022). Interpatient Heartbeat Classification Using Modified Residual Attention Network With Two-Phase Training and Assistant Decision. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 6 indexed citations
10.
Yang, Hongbo, Yanan Qu, Yi Guo, et al.. (2022). Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis. Medical Image Analysis. 82. 102614–102614. 17 indexed citations
11.
Yan, Wenjun, et al.. (2020). Extracting Membrane Borders in IVUS Images Using a Multi-Scale Feature Aggregated U-Net. PubMed. 2020. 1650–1653. 20 indexed citations
12.
Yan, Wenjun, et al.. (2020). Vessel membrane segmentation and calcification location in intravascular ultrasound images using a region detector and an effective selection strategy. Computer Methods and Programs in Biomedicine. 189. 105339–105339. 7 indexed citations
13.
Yan, Wenjun, et al.. (2019). IVUS Image Segmentation Using Superpixel-Wise Fuzzy Clustering and Level Set Evolution. Applied Sciences. 9(22). 4967–4967. 11 indexed citations
14.
Yan, Wenjun, et al.. (2019). IVUS images segmentation using spatial fuzzy clustering and hierarchical level set evolution. Computers in Biology and Medicine. 109. 207–217. 13 indexed citations
15.
Guo, Yi, et al.. (2017). Adaptive group sparse representation in fetal echocardiogram segmentation. Neurocomputing. 240. 59–69. 8 indexed citations
16.
Guo, Yi, et al.. (2017). Automatic computer aided analysis algorithms and system for adrenal tumors on CT images. Technology and Health Care. 25(6). 1105–1118. 4 indexed citations
17.
Zhou, Guohui, Yuanyuan Wang, & Weiqi Wang. (2012). Diagnosis of Hepatic Fibrosis by Ultrasonic Image Analysis. 775–776. 4 indexed citations
18.
Zhou, Guohui, Yuanyuan Wang, Weiqi Wang, Ying Sun, & Yue Chen. (2005). Decision of Cirrhosis Using Liver's Ultrasonic Images. PubMed. 2005. 3351–3354. 9 indexed citations
19.
Ta, Dean, Guohui Zhou, Weiqi Wang, & Jianguo Yu. (2005). Measurement of Spectral Maximum Shift of Ultrasonic Backscatter Signals in Cancellous Bone. PubMed. 2005. 2703–2706. 4 indexed citations
20.
Zheng, Mingfa & Guohui Zhou. (2002). Compositional effect on hot cracking for binary alloys. Metals and Materials International. 8(6). 3 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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