Deng Pan

828 total citations
21 papers, 244 citations indexed

About

Deng Pan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Deng Pan has authored 21 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Ocean Engineering. Recurrent topics in Deng Pan's work include Adversarial Robustness in Machine Learning (5 papers), Machine Learning and Data Classification (3 papers) and Seismic Waves and Analysis (3 papers). Deng Pan is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Machine Learning and Data Classification (3 papers) and Seismic Waves and Analysis (3 papers). Deng Pan collaborates with scholars based in China, United States and United Kingdom. Deng Pan's co-authors include Dongxiao Zhu, Xin Li, Zhiliang Liu, Yong Qin, Ming J. Zuo, Hong Zeng, Zhe Jia, Xiangrui Li, Huifang Deng and Jiafu Wan and has published in prestigious journals such as Journal of Sound and Vibration, Future Generation Computer Systems and Computer Methods and Programs in Biomedicine.

In The Last Decade

Deng Pan

18 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deng Pan China	10	93	53	53	40	34	21	244
Yang Zhan China	10	40 0.4×	38 0.7×	20 0.4×	34 0.8×	11 0.3×	45	373
Tuo Zhao United States	10	194 2.1×	16 0.3×	86 1.6×	16 0.4×	14 0.4×	29	424
Hongwei Li China	10	128 1.4×	17 0.3×	12 0.2×	38 0.9×	9 0.3×	32	265
E. Logashanmugam India	9	54 0.6×	21 0.4×	11 0.2×	19 0.5×	35 1.0×	54	299
Rita Chattopadhyay United States	8	354 3.8×	22 0.4×	32 0.6×	13 0.3×	18 0.5×	20	469
Jinbao Li China	11	92 1.0×	10 0.2×	63 1.2×	10 0.3×	34 1.0×	41	350
Xiaoling Luo China	11	159 1.7×	71 1.3×	88 1.7×	33 0.8×	3 0.1×	23	354
Malaya Kumar Hota India	9	42 0.5×	23 0.4×	33 0.6×	11 0.3×	10 0.3×	50	304
Ana Rita Teixeira Portugal	9	38 0.4×	26 0.5×	128 2.4×	10 0.3×	11 0.3×	46	299
Henry Gouk United Kingdom	6	163 1.8×	19 0.4×	20 0.4×	14 0.3×	6 0.2×	14	300

Countries citing papers authored by Deng Pan

Since Specialization

Citations

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

Fields of papers citing papers by Deng Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deng Pan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Saxena, Nripsuta Ani, Zichong Wang, Deng Pan, et al.. (2025). Generative AI in depth: A survey of recent advances, model variants, and real-world applications. Journal Of Big Data. 12(1).

Pan, Deng, Ji Gao, & Haijiang Zhang. (2025). Improving passive seismic surface-wave dispersion measurement deteriorated by strong fixed-frequency interference in the industry environment. Journal of Geophysics and Engineering. 22(4). 986–1002. 1 indexed citations

Pan, Deng, et al.. (2024). Time on social networking sites is associated with impulsive decision-making. Behaviour and Information Technology. 44(9). 1760–1765.

Pan, Deng, et al.. (2023). EESCN: A novel spiking neural network method for EEG-based emotion recognition. Computer Methods and Programs in Biomedicine. 243. 107927–107927. 48 indexed citations

Liu, Yuting, et al.. (2023). Advanced UNet++ Architecture for Precise Segmentation of COVID-19 Pulmonary Infections. 155–159.

Liu, Minghui, Meiyi Yang, Xuan Cheng, et al.. (2023). Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning. International Journal of Computational Intelligence Systems. 16(1). 2 indexed citations

Chen, Siying, Minghui Liu, Deng Pan, et al.. (2022). Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images. IEEE Journal of Biomedical and Health Informatics. 26(11). 5344–5354. 15 indexed citations

Zeng, Hong, et al.. (2022). DCAE: A dual conditional autoencoder framework for the reconstruction from EEG into image. Biomedical Signal Processing and Control. 81. 104440–104440. 13 indexed citations

Li, Xin, Deng Pan, & Dongxiao Zhu. (2021). Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection?. 1677–1681. 19 indexed citations

10.

Pan, Deng, Xin Li, & Dongxiao Zhu. (2021). Explaining Deep Neural Network Models with Adversarial Gradient Integration. 2876–2883. 19 indexed citations

11.

Li, Xin, Xiangrui Li, Deng Pan, & Dongxiao Zhu. (2021). Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 8482–8490. 10 indexed citations

12.

Li, Xiangrui, Xin Li, Deng Pan, & Dongxiao Zhu. (2020). On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4739–4746. 16 indexed citations

13.

Liao, Youqiang, et al.. (2019). Gas Kick Simulation for Offshore Gas-Hydrate Reservoir Drilling. 1 indexed citations

14.

Liu, Zhiliang, et al.. (2017). Improved local mean decomposition for modulation information mining and its application to machinery fault diagnosis. Journal of Sound and Vibration. 397. 266–281. 53 indexed citations

15.

Li, Fangyu, Sumit Verma, Deng Pan, Jie Qi, & Kurt J. Marfurt. (2017). Seismic denoising using thresholded adaptive signal decomposition. 5095–5099. 2 indexed citations

16.

Zou, Caifeng, Huifang Deng, Jiafu Wan, Zhongren Wang, & Deng Pan. (2017). Mining and updating association rules based on fuzzy concept lattice. Future Generation Computer Systems. 82. 698–706. 25 indexed citations

17.

Pan, Deng, Yangkang Chen, Yu Zhang, & Hua‐Wei Zhou. (2016). Weighted stacking of seismic AVO data using hybrid AB semblance and local similarity. Journal of Geophysics and Engineering. 13(2). 152–163. 11 indexed citations

18.

Huang, Wei, Deng Pan, & Hua‐Wei Zhou. (2016). Effects of fracture density on P-wave reflection coefficients for shale/sand model with HTI anisotropy. 76. 597–601. 1 indexed citations

19.

Pan, Deng, et al.. (2013). Notice of Retraction A study on applications of principal component analysis and kernel principal component analysis for gearbox fault diagnosis. 1. 1917–1922. 3 indexed citations

20.

Zhang, Jingwen, Yang Liu, Gang Xie, et al.. (2012). Taylor approximation pricing for K -user multiple-input multiple-output (MIMO) interference channels. IET Communications. 6(17). 2957–2967. 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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