Minghao Pan

562 citations
28 papers · 428 · h-index 11

Impact in

Papers in

Minghao Pan

23 papers receiving 410 citations

Peers

Minghao Pan
Comparison fields: 5 of 62
  • Computer Graphics and Computer-Aided Design 172
  • Computer Vision and Pattern Recognition 183
  • Civil and Structural Engineering 135
  • Statistics, Probability and Uncertainty 36
  • Computational Mechanics 92
Replace A.I. Ginnis with:
A.I. Ginnis Greece
Qifu Wang China
Caiming Zhang China
Danil Kirsanov United States
Scott A. Canann United States
Jiří Kosinka Netherlands
Mark A. Yerry United States
Peggy L. Baehmann United States
Georg Umlauf Germany
Giulio Casciola Italy
Minghao Pan relative to A.I. Ginnis Greece A.I. Ginnis's profile →
Citations per field
00.5×5.2×
A.I. Ginnis · 1×
Citations per year

Countries citing papers authored by Minghao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Minghao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 200673
3 200968
4 201724
5 200919
6 202218
7 200715
8 202515
9 200914
10 200613
11 199310
12 201910
13 202410
14 20229
15 20249
16 20127
17 20257
18 20225
19 20104
20 20133

About Minghao Pan

Minghao Pan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Civil and Structural Engineering, Computational Mechanics and Electrical and Electronic Engineering, having authored 28 papers that have together received 428 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (8 papers), Structural Health Monitoring Techniques (8 papers), Bladed Disk Vibration Dynamics (7 papers), 3D Shape Modeling and Analysis (5 papers), Image Enhancement Techniques (3 papers), Probabilistic and Robust Engineering Design (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (172 citations), Computer Vision and Pattern Recognition (183 citations), Civil and Structural Engineering (135 citations), Statistics, Probability and Uncertainty (36 citations) and Computational Mechanics (92 citations). Minghao Pan has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Hujun Bao, Haifeng Hu, Fengjiao Guan, Yongmin Yang, Rui Wang, Kun Zhou, Hailong Xu, Chao Wang, Xin Tong and Jiaping Wang. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Information Theory, International Journal of Mechanical Sciences, Computer Graphics Forum and Environmental Pollution.

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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