Hao Pan

2.5k citations
85 papers · 1.6k · h-index 23

Impact in

Papers in

Hao Pan

80 papers receiving 1.5k citations

Peers

Hao Pan
Comparison fields: 5 of 89
  • Computer Graphics and Computer-Aided Design 376
  • Computational Mechanics 755
  • Computer Vision and Pattern Recognition 744
  • Geology 115
  • Numerical Analysis 110
Replace Hartmut Prautzsch with:
Hartmut Prautzsch Germany
Kenjiro T. Miura Japan
Tong Wu China
Kadi Bouatouch France
Hongwei Lin China
Hock Soon Seah Singapore
Wojciech Jarosz United States
Sunghee Choi South Korea
Jean‐Claude Paul China
Edwin Catmull United States
Hao Pan relative to Hartmut Prautzsch Germany Hartmut Prautzsch's profile →
Citations per field
00.5×
Hartmut Prautzsch · 1×
Citations per year

Countries citing papers authored by Hao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002141
2 2012118
3 201186
4 200277
5 202368
6 202164
7 201559
8 201859
9 201353
10 202253
11 201749
12 200349
13 202045
14 202044
15 202244
16 200542
17 201337
18 201235
19 202328
20 201527

About Hao Pan

Hao Pan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Media Technology and Geology, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (26 papers), Computer Graphics and Visualization Techniques (15 papers), Advanced Vision and Imaging (11 papers), Advanced Numerical Analysis Techniques (10 papers), 3D Surveying and Cultural Heritage (9 papers), Advanced Numerical Methods in Computational Mathematics (9 papers), Computational Geometry and Mesh Generation (7 papers) and Differential Equations and Numerical Methods (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (376 citations), Computational Mechanics (755 citations), Computer Vision and Pattern Recognition (744 citations), Geology (115 citations) and Numerical Analysis (110 citations). Hao Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hongxing Rui, Yang Liu, M. Ibrahim Sezan, Wenping Wang, Xin Tong, Changjian Li, Scott Daly, Baoxin Li, Peter van Beek and Xiaofan Feng. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Journal of the Society for Information Display, Journal of Scientific Computing and Computers & Mathematics with Applications.

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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