Zhi‐Feng Pang

537 citations
53 papers · 385 indexed · h-index 11
Topics
Image and Signal Denoising Methods (23 papers)Sparse and Compressive Sensing Techniques (20 papers)Advanced Image Processing Techniques (13 papers)
Partner nations
ChinaHong KongSingapore

In The Last Decade

Zhi‐Feng Pang

45 papers receiving 358 citations

Peers

Zhi‐Feng Pang
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 285
  • Computational Mechanics 104
  • Media Technology 91
  • Radiology, Nuclear Medicine and Imaging 53
  • Artificial Intelligence 39
Replace Xiaotong Lu with:
Xiaotong Lu China
Wenbo Mei China
Huiqian Du China
Peiyao Wang China
Ronan Kerviche United States
Dahua Gao China
Huang Bai China
Mohammad Tofighi Türkiye
François Malgouyres France
Luca Calatroni France
Zhi‐Feng Pang relative to Xiaotong Lu China Xiaotong Lu's profile →
Citations per field
00.5×
Xiaotong Lu · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 0
6 1
7 2
8 3
9 8
10 2
11 8
12 15
13 3
14 3
15 20
16 23
17 10
18 37
19 0
20 3

About Zhi‐Feng Pang

Zhi‐Feng Pang is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Acoustics and Ultrasonics, having authored 53 papers that have together received 385 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (23 papers), Sparse and Compressive Sensing Techniques (20 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Acoustics and Ultrasonics (20 citations), Computer Vision and Pattern Recognition (285 citations) and Computational Mathematics (8 citations). Zhi‐Feng Pang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent 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. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Physics in Medicine and Biology.

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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