Haiwei Pan

696 citations
76 papers · 317 · h-index 9

Impact in

    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Multimodal Machine Learning Applications
    • Advanced Neural Network Applications
    • AI in cancer detection

Papers in

Haiwei Pan

67 papers receiving 300 citations

Peers

Haiwei Pan
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 114
  • Artificial Intelligence 113
  • Health Informatics 4
  • Neurology 24
  • Media Technology 17
Replace S. T. Patil with:
S. T. Patil India
Jarallah S. AlGhamdi Saudi Arabia
Mushtaq Ali Pakistan
Christopher Beckham Canada
Musa Çıbuk Türkiye
Suzana Loškovska North Macedonia
Tahereh Hassanzadeh Australia
Alceu Ferraz Costa Brazil
Hemanta Kumar Bhuyan India
Manel Ayadi Saudi Arabia
Haiwei Pan relative to S. T. Patil India S. T. Patil's profile →
Citations per field
00.5×3.9×
S. T. Patil · 1×
Citations per year

Countries citing papers authored by Haiwei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Haiwei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202229
2 202327
3 200617
4 202415
5 201414
6 201913
7 201711
8 20218
9 20228
10 20188
11 20207
12 20176
13 20146
14 20226
15 20166
16 20166
17 20166
18 20156
19 20156
20 20245

About Haiwei Pan

Haiwei Pan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Neurology and Computational Theory and Mathematics, having authored 76 papers that have together received 317 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (16 papers), Brain Tumor Detection and Classification (8 papers), Medical Image Segmentation Techniques (8 papers), Rough Sets and Fuzzy Logic (7 papers), Data Management and Algorithms (6 papers), Text and Document Classification Technologies (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Artificial Intelligence (113 citations), Health Informatics (4 citations), Neurology (24 citations) and Media Technology (17 citations). Haiwei Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kejia Zhang, Qilong Han, Chunling Chen, Wěi Zhāng, Jianzhong Li, Qing Li, Pengyuan Li, Zhiqiang Zhang, Bo Qu and K. Shi. Their work appears in journals such as Knowledge-Based Systems, Journal of Intelligent & Fuzzy Systems, Tsinghua Science & Technology, Multimedia Tools and Applications and Wireless Communications and Mobile Computing.

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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