Haiwei Pan

761 citations
116 papers · 512 · h-index 11

Impact in

Papers in

Haiwei Pan

104 papers receiving 493 citations

Peers

Haiwei Pan
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 191
  • Artificial Intelligence 197
  • Neurology 43
  • Health Informatics 5
  • Health Information Management 12
Replace Chitapong Wechtaisong with:
Chitapong Wechtaisong Thailand
Muhammad Assam Pakistan
Salima Ouadfel Algeria
Helena Aidos Portugal
Uday Kulkarni India
Tahereh Hassanzadeh Australia
S. T. Patil India
Debanjan Konar India
Li Guo China
Samar M. Alqhtani Saudi Arabia
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Citations per field
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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 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202238
2 202333
3 202422
4 200622
5 201819
6 201415
7 200513
8 201912
9 201412
10 201811
11 201711
12 202210
13 20199
14 20169
15 20148
16 20218
17 20248
18 20228
19 20168
20 20167

About Haiwei Pan

Haiwei Pan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Neurology and Signal Processing, having authored 116 papers that have together received 512 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (30 papers), Advanced Image and Video Retrieval Techniques (25 papers), Medical Image Segmentation Techniques (15 papers), AI in cancer detection (12 papers), Brain Tumor Detection and Classification (9 papers), Rough Sets and Fuzzy Logic (9 papers), Data Management and Algorithms (8 papers) and Data Mining Algorithms and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Artificial Intelligence (197 citations), Neurology (43 citations), Health Informatics (5 citations) and Health Information Management (12 citations). Haiwei Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kejia Zhang, Qilong Han, Wěi Zhāng, Jianzhong Li, Chunling Chen, Lan Zhang, Pengyuan Li, Zhiqiang Zhang, Qing Li and Zhiqiang Zhang. Their work appears in journals such as Lecture notes in computer science, Tsinghua Science & Technology, Multimedia Tools and Applications, Journal of Intelligent & Fuzzy Systems 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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