Dehua Chen

410 total citations
52 papers, 276 citations indexed

About

Dehua Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Dehua Chen has authored 52 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Dehua Chen's work include Data Management and Algorithms (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Dehua Chen is often cited by papers focused on Data Management and Algorithms (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Dehua Chen collaborates with scholars based in China, Taiwan and United Kingdom. Dehua Chen's co-authors include Wen‐Liang Hung, Miin‐Shen Yang, Weiwei Chen, Jiajin Le, Zonghua Liu, Lu Wang, Congbo Li, Qin Xiao, Lu Wang and Hongjin Zhao and has published in prestigious journals such as IEEE Access, Corrosion Science and Wear.

In The Last Decade

Dehua Chen

47 papers receiving 266 citations

Peers

Dehua Chen
Dehua Chen
Citations per year, relative to Dehua Chen Dehua Chen (= 1×) peers Siqian Yang

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.
Chen, Dehua, et al.. (2025). A remote synchronization model of community networks with homogeneous frequencies. Chaos Solitons & Fractals. 194. 116134–116134. 1 indexed citations
2.
Chen, Dehua, et al.. (2025). Firing propagation in empirical cognitive networks of human brain. Physical Review Research. 7(1).
3.
Chen, Dehua, et al.. (2024). Heterogeneous network coupling induced ‘local sleep’ in brain cognitive networks. Nonlinear Dynamics. 112(18). 16409–16421. 2 indexed citations
4.
Chen, Dehua, et al.. (2024). Generating lymphoma ultrasound image description with transformer model. Computers in Biology and Medicine. 174. 108409–108409. 2 indexed citations
6.
Chen, Dehua, et al.. (2023). Partial remote synchronization in star-like networks with partial connections among leaf nodes. Physical Review Research. 5(4). 8 indexed citations
7.
Liu, Jing-Yuan, et al.. (2023). Effect of Machining Damage and Repair on U-2Nb Alloy Corrosion Behavior. Journal of Materials Engineering and Performance. 33(5). 2422–2428. 1 indexed citations
8.
Chen, Dehua, et al.. (2023). Sensitive dynamics of brain cognitive networks and its resource constraints. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(6). 3 indexed citations
9.
Chen, Xiaoling, et al.. (2023). A method for extracting tumor events from clinical CT examination reports. Journal of Biomedical Informatics. 142. 104371–104371. 1 indexed citations
10.
Guo, Yuanyuan, et al.. (2023). Causal Attention-Based Lightweight and Efficient Cervical Cancer Cell Detection Model. 1104–1111. 1 indexed citations
12.
Chen, Dehua, et al.. (2021). An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3341–3349. 17 indexed citations
13.
Chen, Dehua, et al.. (2020). Stainless steel powder produced by a novel arc spray process. Journal of Materials Research and Technology. 9(4). 8314–8322. 9 indexed citations
15.
Chen, Chien-Ju, et al.. (2018). A 520-nm Green GaN LED with High Bandwidth and Low Current Density for Gigabits OFDM Data Communication. Optical Fiber Communication Conference. 38. Th2A.18–Th2A.18. 10 indexed citations
16.
Chen, Dehua, et al.. (2017). PageFile: The Return of Classical Page Storage Structure on MapReduce Framework. 網際網路技術學刊. 18(1). 65–75. 1 indexed citations
17.
Chen, Dehua, et al.. (2016). Investigation on the vane cable suspension support system in the 2.4mTransonic Wind Tunnel. 34(3). 354–361. 1 indexed citations
18.
19.
Guo, Yongming, Dehua Chen, Liangxu Liu, & Jiajin Le. (2008). A Frame of Personalized Information Filtering System Based on XML. 15. 25–29. 1 indexed citations
20.
Hung, Wen‐Liang, Miin‐Shen Yang, & Dehua Chen. (2007). Means Algorithm. 16. 230–234. 2 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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