Pei Dang

797 total citations
62 papers, 585 citations indexed

About

Pei Dang is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pei Dang has authored 62 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Applied Mathematics, 21 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in Pei Dang's work include Mathematical Analysis and Transform Methods (29 papers), Image and Signal Denoising Methods (20 papers) and Digital Filter Design and Implementation (12 papers). Pei Dang is often cited by papers focused on Mathematical Analysis and Transform Methods (29 papers), Image and Signal Denoising Methods (20 papers) and Digital Filter Design and Implementation (12 papers). Pei Dang collaborates with scholars based in Macao, China and United States. Pei Dang's co-authors include Tao Qian, M. Grujičić, Yan Yang, Guantie Deng, N. Chandra, Wei Qu, Jinyuan Du, Yuan Guo, Sri Kalyana Rama Jyosyula and Liming Zhang and has published in prestigious journals such as Acta Materialia, IEEE Transactions on Signal Processing and Materials Science and Engineering A.

In The Last Decade

Pei Dang

56 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pei Dang Macao	13	263	207	170	145	124	62	585
Elías Wegert Germany	10	213 0.8×	28 0.1×	48 0.3×	8 0.1×	49 0.4×	53	473
Ghasem Barid Loghmani Iran	16	166 0.6×	40 0.2×	33 0.2×	8 0.1×	102 0.8×	78	841
Mark Lyon United States	11	34 0.1×	38 0.2×	99 0.6×	25 0.2×	78 0.6×	17	489
Tianzhou Xu China	16	183 0.7×	68 0.3×	4 0.0×	51 0.4×	181 1.5×	61	931
Gabriele Anzellotti Italy	15	499 1.9×	44 0.2×	58 0.3×	4 0.0×	35 0.3×	24	948
Hideaki Kaneko United States	13	124 0.5×	28 0.1×	17 0.1×	10 0.1×	28 0.2×	50	743
Peter J. Collins United States	14	17 0.1×	17 0.1×	79 0.5×	18 0.1×	15 0.1×	76	548
Guannan Wei Ireland	12	21 0.1×	13 0.1×	92 0.5×	4 0.0×	69 0.6×	29	706
Brian Bradie United States	6	11 0.0×	40 0.2×	8 0.0×	50 0.3×	16 0.1×	18	282

Countries citing papers authored by Pei Dang

Since Specialization

Citations

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

Fields of papers citing papers by Pei Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Dang. A scholar is included among the top collaborators of Pei Dang 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 Pei Dang. Pei Dang 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

Dang, Pei, et al.. (2025). Uncertainty principles for linear canonical transform. Journal of Mathematical Analysis and Applications. 548(2). 129414–129414. 1 indexed citations

Zhou, Tao, et al.. (2025). Model-data co-driven U-net segmentation network for multimodal lung tumor images. Applied Soft Computing. 180. 113410–113410.

Dang, Pei, et al.. (2024). L^p‐theory of linear canonical transforms and related uncertainty principles. Mathematical Methods in the Applied Sciences. 47(7). 6272–6300. 3 indexed citations

Dang, Pei, et al.. (2024). L-type Heisenberg-Pauli-Weyl uncertainty principles for fractional Fourier transform. Applied Mathematics and Computation. 491. 129236–129236. 2 indexed citations

Zhou, Tao, et al.. (2024). Guided-YNet: Saliency Feature-Guided Interactive Feature Enhancement Lung Tumor Segmentation Network. Computers, materials & continua/Computers, materials & continua (Print). 80(3). 4813–4832.

Dang, Pei, et al.. (2024). Improved Caffarelli–Kohn–Nirenberg Inequalities and Uncertainty Principle. Journal of Geometric Analysis. 34(3). 2 indexed citations

Wu, Jinxia, et al.. (2024). RIEMANN-LIOUVILLE FRACTIONAL INTEGRALS AND DERIVATIVES ON MORREY SPACES AND APPLICATIONS TO ACAUCHY-TYPE PROBLEM. Journal of Applied Analysis & Computation. 14(2). 1078–1096. 3 indexed citations

Wang, Chen, et al.. (2024). Fractional Fourier Series on the Torus and Applications. Fractal and Fractional. 8(8). 494–494. 2 indexed citations

Dang, Pei, et al.. (2023). Uncertainty principle in random quaternion domains. Digital Signal Processing. 136. 103988–103988. 2 indexed citations

10.

Dang, Pei, et al.. (2023). Uncertainty principles for random signals. Applied Mathematics and Computation. 444. 127833–127833. 3 indexed citations

11.

Dang, Pei, et al.. (2019). Riemann–Hilbert problems with shift on the Lyapunov curve for null-solutions of iterated Beltrami equations. Boundary Value Problems. 2019(1). 2 indexed citations

12.

Dang, Pei, et al.. (2019). Fourier spectrum of Clifford H spaces on R+n+1 for 1 ≤ p ≤ ∞. Journal of Mathematical Analysis and Applications. 483(1). 123598–123598. 2 indexed citations

13.

Dang, Pei, José M. Mourão, João P. Nunes, & Tao Qian. (2017). Clifford coherent state transforms on spheres. Journal of Geometry and Physics. 124. 225–232. 1 indexed citations

14.

Dang, Pei, Tao Qian, & Qiuhui Chen. (2017). Uncertainty Principle and Phase–Amplitude Analysis of Signals on the Unit Sphere. Advances in Applied Clifford Algebras. 27(4). 2985–3013. 5 indexed citations

15.

Dang, Pei, Tao Qian, & Yan Yang. (2016). Extra-strong uncertainty principles in relation to phase derivative for signals in Euclidean spaces. Journal of Mathematical Analysis and Applications. 437(2). 912–940. 7 indexed citations

16.

Yang, Yan, Pei Dang, & Tao Qian. (2014). Space-frequency analysis in higher dimensions and applications. Annali di Matematica Pura ed Applicata (1923 -). 194(4). 953–968. 7 indexed citations

17.

Dang, Pei, et al.. (2013). A sharper uncertainty principle. Journal of Functional Analysis. 265(10). 2239–2266. 49 indexed citations

18.

Dang, Pei, Tao Qian, & Yuan Guo. (2013). TRANSIENT TIME-FREQUENCY DISTRIBUTION BASED ON MONO-COMPONENT DECOMPOSITIONS. International Journal of Wavelets Multiresolution and Information Processing. 11(3). 1350022–1350022. 14 indexed citations

19.

Dang, Pei, et al.. (2013). Fast Correction Algorithm Research of Image Geometric Distortion in the Image Tracking. Journal of Applied Sciences. 13(15). 2876–2883.

20.

Qian, Tao, et al.. (2009). ADAPTIVE DECOMPOSITION INTO MONO-COMPONENTS. 1(4). 703–709. 16 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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