Feng Pan

1.4k citations
83 papers · 929 · h-index 15

Impact in

    • Video Coding and Compression Technologies
    • Advanced Vision and Imaging
    • Image and Video Quality Assessment
    • Advanced Data Compression Techniques
    • Advanced Image Processing Techniques
    • Robotic Path Planning Algorithms

Papers in

Feng Pan

74 papers receiving 880 citations

Peers

Feng Pan
Comparison fields: 5 of 86
  • Signal Processing 510
  • Computer Vision and Pattern Recognition 598
  • Aerospace Engineering 103
  • Control and Systems Engineering 84
  • Ocean Engineering 54
Replace Xiao Lin with:
Xiao Lin China
Ezzatollah Salari United States
R. Ramachandran India
Peng Chang China
Xionghu Zhong Singapore
Kenneth E. Hoff United States
Ningzhong Liu China
Riccardo Scopigno Italy
Abdelmalik Ouamane Algeria
Junyang Shen United States
Feng Pan relative to Xiao Lin China Xiao Lin's profile →
Citations per field
00.5×3.6×
Xiao Lin · 1×
Citations per year

Countries citing papers authored by Feng Pan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng Pan Line = papers co-authored together Feng Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005307
2 201651
3 200439
4 200539
5 200533
6 201832
7 202325
8 200920
9 202318
10 200617
11 200216
12 202015
13 201215
14 202114
15 202314
16 202214
17 202113
18 202011
19 200311
20 201910

About Feng Pan

Feng Pan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing, Electrical and Electronic Engineering and Aerospace Engineering, having authored 83 papers that have together received 929 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (20 papers), Advanced Vision and Imaging (14 papers), Advanced Data Compression Techniques (11 papers), Image and Video Quality Assessment (10 papers), Robotics and Sensor-Based Localization (9 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Advanced Algorithms and Applications (5 papers) and Advanced Sensor and Control Systems (5 papers). The work is most often cited by research in Signal Processing (510 citations), Computer Vision and Pattern Recognition (598 citations), Aerospace Engineering (103 citations), Control and Systems Engineering (84 citations) and Ocean Engineering (54 citations). Feng Pan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include K.P. Lim, Z.G. Li, Susanto Rahardja, Dajun Wu, Si Wu, Xiao Lin, Xiaoxue Feng, Shiqian Wu, Hongtao Yu and Quanmin Zhu. Their work appears in journals such as Energy, IEEE Transactions on Automation Science and Engineering, IEEE Wireless Communications Letters, Optics & Laser Technology and Chinese Optics Letters.

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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