Ruwei Dai

1.5k total citations
75 papers, 1.1k citations indexed

About

Ruwei Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Ruwei Dai has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. Recurrent topics in Ruwei Dai's work include Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers) and Image Processing and 3D Reconstruction (7 papers). Ruwei Dai is often cited by papers focused on Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers) and Image Processing and 3D Reconstruction (7 papers). Ruwei Dai collaborates with scholars based in China, Taiwan and Australia. Ruwei Dai's co-authors include Jie Tian, Chunheng Wang, Chunmei Liu, Lijun Bai, Qiudan Li, Baihua Xiao, Qingliang Miao, Youbo You, Zhenyu Liu and Wen‐Juan Wei and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ruwei Dai

66 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruwei Dai China	18	394	266	229	181	104	75	1.1k
Taha H. Rassem Malaysia	13	562 1.4×	112 0.4×	267 1.2×	123 0.7×	46 0.4×	40	1.1k
Francisco J. Martínez-Murcia Spain	21	238 0.6×	304 1.1×	264 1.2×	256 1.4×	55 0.5×	62	1.3k
Jiashuang Huang China	18	226 0.6×	437 1.6×	313 1.4×	257 1.4×	39 0.4×	77	1.1k
Baha Şen Türkiye	14	155 0.4×	366 1.4×	220 1.0×	112 0.6×	233 2.2×	62	1.0k
Galip Aydın Türkiye	17	225 0.6×	191 0.7×	365 1.6×	183 1.0×	79 0.8×	45	1.2k
Zhaohui Liang China	18	226 0.6×	51 0.2×	182 0.8×	102 0.6×	15 0.1×	77	1.0k
Sajid Iqbal Pakistan	18	622 1.6×	71 0.3×	573 2.5×	384 2.1×	39 0.4×	48	1.5k
Zheng Xiao China	14	160 0.4×	61 0.2×	323 1.4×	182 1.0×	23 0.2×	54	786
V́ıctor González-Castro Spain	20	245 0.6×	43 0.2×	311 1.4×	138 0.8×	106 1.0×	59	1.2k
Kenneth Revett United Kingdom	17	454 1.2×	407 1.5×	299 1.3×	124 0.7×	307 3.0×	63	1.4k

Countries citing papers authored by Ruwei Dai

Since Specialization

Citations

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

Fields of papers citing papers by Ruwei Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruwei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ruwei Dai. A scholar is included among the top collaborators of Ruwei Dai 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 Ruwei Dai. Ruwei Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mu, Wei, Zhe Chen, Ying Liang, et al.. (2015). Staging of cervical cancer based on tumor heterogeneity characterized by texture features on¹⁸F-FDG PET images. Physics in Medicine and Biology. 60(13). 5123–5139. 69 indexed citations

Mu, Wei, Zhe Chen, Wei Shen, et al.. (2015). A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With ¹⁸F-FDG PET/CT. IEEE Transactions on Biomedical Engineering. 62(10). 2465–2479. 20 indexed citations

Liu, Zhenyu, Wen‐Juan Wei, Lijun Bai, et al.. (2014). Exploring the Patterns of Acupuncture on Mild Cognitive Impairment Patients Using Regional Homogeneity. PLoS ONE. 9(6). e99335–e99335. 40 indexed citations

You, Youbo, Lijun Bai, Ruwei Dai, et al.. (2013). Altered Hub Configurations within Default Mode Network following Acupuncture at ST36: A Multimodal Investigation Combining fMRI and MEG. PLoS ONE. 8(5). e64509–e64509. 28 indexed citations

Wei, Wen‐Juan, Lijun Bai, Jun Wang, et al.. (2013). A Longitudinal Study of Hand Motor Recovery after Sub-Acute Stroke: A Study Combined fMRI with Diffusion Tensor Imaging. PLoS ONE. 8(5). e64154–e64154. 50 indexed citations

You, Youbo, Lijun Bai, Ruwei Dai, et al.. (2012). Acupuncture Induces Divergent Alterations of Functional Connectivity within Conventional Frequency Bands: Evidence from MEG Recordings. PLoS ONE. 7(11). e49250–e49250. 8 indexed citations

Liu, Zhenyu, Yumei Zhang, Hao Yan, et al.. (2012). Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: A resting-state fMRI study. Psychiatry Research Neuroimaging. 202(2). 118–125. 105 indexed citations

Dai, Ruwei. (2011). Noetic and intelligence sciences and engineering. Journal of the University of Shanghai for Science and Technology. 1 indexed citations

You, Youbo, Lijun Bai, Ruwei Dai, et al.. (2011). Differential neural responses to acupuncture revealed by MEG using wavelet-based time-frequency analysis: A pilot study. PubMed. 16. 7099–7102. 8 indexed citations

10.

Dai, Ruwei. (2011). Formation and development of social intelligence science. Journal of the University of Shanghai for Science and Technology. 1 indexed citations

11.

Zhong, Chongguang, Lijun Bai, Ruwei Dai, et al.. (2011). Modulatory effects of acupuncture on resting‐state networks: A functional MRI study combining independent component analysis and multivariate granger causality analysis. Journal of Magnetic Resonance Imaging. 35(3). 572–581. 41 indexed citations

12.

Zhong, Chongguang, Lijun Bai, Ruwei Dai, et al.. (2011). Exploring the evolution of post-acupuncture resting-state networks combining ICA and multivariate Granger causality. PubMed. 48. 2813–2816. 3 indexed citations

13.

Li, Minhua, Chunheng Wang, & Ruwei Dai. (2008). Unconstrained handwritten character recognition based on WEDF and Multilayer Neural Network. 11. 1143–1148. 8 indexed citations

14.

Dai, Ruwei, Cheng‐Lin Liu, & Baihua Xiao. (2007). Chinese character recognition: history, status and prospects. Frontiers of Computer Science in China. 1(2). 126–136. 74 indexed citations

15.

Dai, Ruwei. (2006). Intelligence Development from the Logic Artificial Intelligence to Social Intelligence. 1 indexed citations

16.

Dai, Ruwei. (2004). The Framework, Design & Implementation of Hall for Workshop of Meta-Synthetic Engineering. 7 indexed citations

17.

Dai, Ruwei. (2004). Researches on Hall for Workshop of Metasynthetic Engineering and System Complexity. 7 indexed citations

18.

Wang, Hailing & Ruwei Dai. (2003). A Role and Rule-Based Multi-agent Organization for HWME. 13. 814–818. 1 indexed citations

19.

Dai, Ruwei. (2002). Traditional Chinese Medicine in views of System Science and System Complexity. Acta Simulata Systematica Sinica. 5 indexed citations

20.

Dai, Ruwei. (2002). Research On System Science and System Complexity. Acta Simulata Systematica Sinica. 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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