Dehua Chen

752 total citations
54 papers, 506 citations indexed

About

Dehua Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dehua Chen has authored 54 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dehua Chen's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Topic Modeling (4 papers). Dehua Chen is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Topic Modeling (4 papers). Dehua Chen collaborates with scholars based in China, Taiwan and United States. Dehua Chen's co-authors include Miin‐Shen Yang, Wen‐Liang Hung, Weimin Li, Iain B. Gosbell, Michael C. Wehrhahn, Jianjia Wang, S. J. van Hal, David L. Paterson, Kexin Zhong and Joanne Mercer and has published in prestigious journals such as Journal of Clinical Microbiology, Atmospheric Environment and Expert Systems with Applications.

In The Last Decade

Dehua Chen

49 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dehua Chen China 10 190 73 57 50 45 54 506
Guangqi Liu China 12 59 0.3× 84 1.2× 18 0.3× 24 0.5× 103 2.3× 53 507
Mehdi Hassan Pakistan 18 201 1.1× 215 2.9× 18 0.3× 227 4.5× 29 0.6× 46 722
Przemysław Spurek Poland 10 151 0.8× 103 1.4× 5 0.1× 32 0.6× 41 0.9× 41 358
Gautam Dasarathy United States 14 178 0.9× 43 0.6× 4 0.1× 30 0.6× 74 1.6× 37 600
Yamei Luo China 12 490 2.6× 123 1.7× 7 0.1× 71 1.4× 178 4.0× 51 1.2k
Jianji Wang China 13 283 1.5× 201 2.8× 25 0.4× 121 2.4× 22 0.5× 47 820
Prithwish Chakraborty United States 14 317 1.7× 68 0.9× 13 0.2× 16 0.3× 41 0.9× 29 829
Muhammad Attique Khan Saudi Arabia 17 405 2.1× 282 3.9× 41 0.7× 290 5.8× 31 0.7× 41 1.1k
Yadunath Pathak India 10 294 1.5× 132 1.8× 20 0.4× 327 6.5× 22 0.5× 19 619

Countries citing papers authored by Dehua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dehua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dehua Chen. A scholar is included among the top collaborators of Dehua Chen 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 Dehua Chen. Dehua Chen 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.
Lai, Hong, et al.. (2025). Mechanism of virulence polymorphism in CR-hvKP strains from the same source. Microbiology Spectrum. 13(7). e0246424–e0246424. 1 indexed citations
2.
Chen, Dehua, Yongsheng Yang, Dongdong Shi, et al.. (2024). The use of 4D data-independent acquisition-based proteomic analysis and machine learning to reveal potential biomarkers for stress levels. Journal of Bioinformatics and Computational Biology. 22(6). 2450025–2450025.
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Chen, Dehua, et al.. (2023). Influence of Random Vehicle–Bridge Coupling Vibration on the Anti-Disturbance Performance of Concrete Materials. Applied Sciences. 13(13). 7584–7584. 8 indexed citations
7.
Wang, Mei, et al.. (2023). An End-to-End Multi-stage Network for Ultrasound Video Object Segmentation. Huddersfield Research Portal (University of Huddersfield). 94. 3574–3581. 1 indexed citations
8.
Liu, Huazhong, et al.. (2023). High-Order Faithful Interpretation Methods for Tensor-Based CNNs. 680–687. 1 indexed citations
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Chen, Dehua, et al.. (2021). Classification of Chest X-Ray Images to Detect Pneumonia using CNN and Transfer Learning. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3498–3504. 1 indexed citations
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Zhang, Ziqian, Yan Zhao, Bin Chen, et al.. (2021). Combining ultrasound with bio-indicators reveals progression of carotid stenosis. Annals of Palliative Medicine. 10(11). 11539–11547. 1 indexed citations
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Chen, Dehua, et al.. (2021). A method based on multi-standard active learning to recognize entities in electronic medical record. Mathematical Biosciences & Engineering. 18(2). 1000–1021. 7 indexed citations
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Li, Wenqi, et al.. (2018). The Study of a Textile Punching Robot Based on Combined Deep Reinforcement Learning. 52. 1–8. 2 indexed citations
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Liu, Dawei, et al.. (2017). Correction of model deformation effects for a supercritical wing in transonic wind tunnel. Tehnicki vjesnik - Technical Gazette. 24(6). 1 indexed citations
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Chen, Dehua, et al.. (2016). Research on Structured Method for Chinese Pathological Text. 43(10). 276.
18.
Hal, S. J. van, Michael C. Wehrhahn, Joanne Mercer, et al.. (2011). Performance of Various Testing Methodologies for Detection of Heteroresistant Vancomycin-Intermediate Staphylococcus aureus in Bloodstream Isolates. Journal of Clinical Microbiology. 49(4). 1489–1494. 68 indexed citations
19.
Hung, Wen‐Liang, Dehua Chen, & Miin‐Shen Yang. (2011). Suppressed fuzzy-soft learning vector quantization for MRI segmentation. Artificial Intelligence in Medicine. 52(1). 33–43. 20 indexed citations
20.
Lei, Wenbin, Zhenzhong Su, Guanxia Xiong, et al.. (2011). Removal of Tracheobronchial Foreign Bodies via Suspension Laryngoscope and Hopkins Telescope in Infants. Annals of Otology Rhinology & Laryngology. 120(7). 484–488. 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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