Da Pan

721 citations
53 papers · 424 · h-index 11

Impact in

    • Image and Video Quality Assessment
    • Advanced Image Processing Techniques
    • Visual Attention and Saliency Detection
    • Image Enhancement Techniques
    • Image and Signal Denoising Methods
    • Advanced Image Fusion Techniques

Papers in

    • Image and Video Quality Assessment 17
    • Advanced Image Processing Techniques 10
    • Visual Attention and Saliency Detection 8
    • Image Enhancement Techniques 7
    • Advanced Image and Video Retrieval Techniques 7
    • Image Retrieval and Classification Techniques 6
    • Video Analysis and Summarization 4
    • Advanced Image Fusion Techniques 10

Da Pan

48 papers receiving 412 citations

Peers

Da Pan
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 182
  • Media Technology 74
  • Gastroenterology 10
  • Human-Computer Interaction 11
  • Biological Psychiatry 4
Replace Asif Iqbal Khan with:
Asif Iqbal Khan Pakistan
Yifan Lin China
Yonglin Zhang China
Xiaoxue Long China
Yu Guan China
Li Bi China
Doaa Mahmoud‐Ghoneim United Arab Emirates
Lin Luo China
Ziyu Xue China
Da Pan relative to Asif Iqbal Khan Pakistan Asif Iqbal Khan's profile →
Citations per field
00.5×2×3×4.3×
Asif Iqbal Khan · 1×
Citations per year

Countries citing papers authored by Da Pan

Since Specialization
Citations

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

Fields of papers citing papers by Da Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Da 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 Da Pan Line = papers co-authored together Da Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201643
3 202231
4 202028
5 202021
6 201120
7 202114
8
Skeletal muscle membrane and storage lipids, muscle fibre type and insulin resistance.
199513
9 202413
10 202012
11 201911
12 202010
13 201510
14 201910
15 20169
16 20229
17 20219
18 20219
19 20207
20 20217

About Da Pan

Da Pan is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Artificial Intelligence and Cell Biology, having authored 53 papers that have together received 424 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (17 papers), Advanced Image Processing Techniques (10 papers), Advanced Image Fusion Techniques (10 papers), Visual Attention and Saliency Detection (8 papers), Image Enhancement Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Media Technology (74 citations), Gastroenterology (10 citations), Human-Computer Interaction (11 citations) and Biological Psychiatry (4 citations). Da Pan has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Ping Shi, Ming Hou, Lihui Yan, Yuan Zhang, Guiju Sun, Yue Guan, Xinyu Liu, Shaozhen Wang, Chong-Jun Zhou and Yi Zhang. Their work appears in journals such as Displays, Journal of Functional Foods, IEEE Access, China Communications and Cancer Investigation.

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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