Zhi‐Feng Pang

537 total citations
53 papers, 385 citations indexed

About

Zhi‐Feng Pang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Zhi‐Feng Pang has authored 53 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 20 papers in Computational Mechanics and 9 papers in Media Technology. Recurrent topics in Zhi‐Feng Pang's work include Image and Signal Denoising Methods (23 papers), Sparse and Compressive Sensing Techniques (20 papers) and Advanced Image Processing Techniques (13 papers). Zhi‐Feng Pang is often cited by papers focused on Image and Signal Denoising Methods (23 papers), Sparse and Compressive Sensing Techniques (20 papers) and Advanced Image Processing Techniques (13 papers). Zhi‐Feng Pang collaborates with scholars based in China, Hong Kong and Singapore. Zhi‐Feng Pang's co-authors include Tingting Wu, Tieyong Zeng, Huili Zhang, Yuping Duan, Liansheng Sui, Zhaolin Xiao, Yu‐Bang Zheng, Xi-Le Zhao, Qian Kemao and Lihong Huang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Physics in Medicine and Biology.

In The Last Decade

Zhi‐Feng Pang

45 papers receiving 358 citations

Peers

Zhi‐Feng Pang

CVPR

RNMI

Xiaotong Lu China

Peiyao Wang China

Dai-Qiang Chen China

Wenbo Mei China

Luca Calatroni France

Jacques Froment France

Huiqian Du China

Pablo Arias France

J. Shah United States

Xiaotong Lu China

Zhi‐Feng Pang

304 ×1.1

CVPR

76 ×0.7

160 ×1.8

66 ×1.2

RNMI

40 ×1.0

Citations per year, relative to Zhi‐Feng Pang Zhi‐Feng Pang (= 1×) peers Xiaotong Lu

Countries citing papers authored by Zhi‐Feng Pang

Since Specialization

Citations

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

Fields of papers citing papers by Zhi‐Feng Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Feng Pang. 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 Zhi‐Feng Pang. The network helps show where Zhi‐Feng Pang may publish in the future.

Co-authorship network of co-authors of Zhi‐Feng Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Feng Pang. A scholar is included among the top collaborators of Zhi‐Feng Pang 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 Zhi‐Feng Pang. Zhi‐Feng Pang 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

Zhang, Jian, et al.. (2025). A deep reinforcement learning method based on Hindsight experience replay for multi-objective dynamic job-shop scheduling problem. Expert Systems with Applications. 284. 127989–127989. 1 indexed citations

Zeng, Tieyong, et al.. (2025). A structure adaptivity variation-based segmentation model for image with retinex and noise. Signal Processing. 241. 110410–110410.

Fan, Huayu, et al.. (2025). A non-convex and non-smooth weighted image denoising model. Computers & Mathematics with Applications. 187. 85–105.

Pang, Zhi‐Feng, et al.. (2025). PrivCore: Multiplication-activation co-reduction for efficient private inference. Neural Networks. 187. 107307–107307.

Zeng, Bo, et al.. (2024). FedGR: Genetic Algorithm and Relay Strategy Based Federated Learning. 2. 2203–2208.

Pang, Zhi‐Feng, et al.. (2024). StreamliNet: Cost-aware layer-wise neural network linearization for fast and accurate private inference. Information Sciences. 667. 120463–120463. 1 indexed citations

Zhao, Kai, et al.. (2024). SplitAUM: Auxiliary Model-Based Label Inference Attack Against Split Learning. IEEE Transactions on Network and Service Management. 22(1). 930–940. 2 indexed citations

Huang, Zhenxing, Na Zhang, Long Chen, et al.. (2024). Few‐shot segmentation framework for lung nodules via an optimized active contour model. Medical Physics. 51(4). 2788–2805. 3 indexed citations

Wang, Lina, et al.. (2023). How to backdoor split learning. Neural Networks. 168. 326–336. 8 indexed citations

10.

Wang, Lina, et al.. (2023). SIA: A sustainable inference attack framework in split learning. Neural Networks. 171. 396–409. 2 indexed citations

11.

Pang, Zhi‐Feng, et al.. (2023). Image Segmentation Based on the Hybrid Bias Field Correction. Applied Mathematics and Computation. 452. 128050–128050. 8 indexed citations

12.

Huang, Zhenxing, Wenbo Li, Yaping Wu, et al.. (2023). Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning. European Journal of Nuclear Medicine and Molecular Imaging. 51(1). 27–39. 15 indexed citations

13.

Wang, Yuan & Zhi‐Feng Pang. (2023). Image denoising based on a new anisotropic mean curvature model. Inverse Problems and Imaging. 17(4). 870–889. 3 indexed citations

14.

Pang, Zhi‐Feng, et al.. (2023). Intensity inhomogeneity image segmentation based on the gradient-based spaces and the prior constraint. Applied Mathematical Modelling. 119. 605–625. 3 indexed citations

15.

Pang, Zhi‐Feng, Lan Zhang, Yanru Zhou, et al.. (2022). Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Processing. 205. 108881–108881. 20 indexed citations

16.

Zhao, Xi-Le, et al.. (2021). Nonlocal Patch-Based Fully Connected Tensor Network Decomposition for Multispectral Image Inpainting. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 23 indexed citations

17.

Wang, Haiyan, et al.. (2021). The synthesis of high-energy CT images from low-energy CT images using an improved cycle generative adversarial network. Quantitative Imaging in Medicine and Surgery. 12(1). 28–42. 10 indexed citations

18.

Pang, Zhi‐Feng, et al.. (2019). Image denoising based on the adaptive weighted TV regularization. Signal Processing. 167. 107325–107325. 37 indexed citations

19.

Pang, Zhi‐Feng, et al.. (2017). Semisupervised data classification via the Mumford–Shah–Potts-type model. Applied Mathematical Modelling. 50. 161–176.

20.

Pang, Zhi‐Feng, et al.. (2010). A two-step model for image denoising using a duality strategy and surface fitting. Journal of Computational and Applied Mathematics. 235(1). 82–90. 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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