Monan Wang

621 citations
59 papers · 439 · h-index 12

Impact in

Papers in

Monan Wang

51 papers receiving 435 citations

Peers

Monan Wang
Comparison fields: 5 of 90
  • Health Informatics 8
  • Computer Graphics and Computer-Aided Design 19
  • Computer Vision and Pattern Recognition 110
  • Neurology 34
  • Orthopedics and Sports Medicine 27
Replace Sheng-hui Liao with:
Sheng-hui Liao China
Pedro M. Vieira Portugal
Chuanbin Liu China
Gangming Zhao China
Hanna Siebert Germany
Florian Link Germany
Rahul Prasanna Kumar Norway
Junli Zhao China
Seth Billings United States
Luc Duong Canada
Monan Wang relative to Sheng-hui Liao China Sheng-hui Liao's profile →
Citations per field
00.5×2×3.1×
Sheng-hui Liao · 1×
Citations per year

Countries citing papers authored by Monan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Monan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201843
2 201742
3 202041
4 201833
5 202028
6 202323
7 201915
8 201815
9 202114
10 201313
11 202412
12 201712
13 202111
14 201611
15 20069
16 20197
17 20226
18 20226
19 20196
20 20226

About Monan Wang

Monan Wang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 59 papers that have together received 439 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (12 papers), Bone fractures and treatments (8 papers), 3D Shape Modeling and Analysis (6 papers), Elasticity and Material Modeling (6 papers), Hip disorders and treatments (6 papers), Medical Image Segmentation Techniques (6 papers), Soft Robotics and Applications (6 papers) and Prosthetics and Rehabilitation Robotics (5 papers). The work is most often cited by research in Health Informatics (8 citations), Computer Graphics and Computer-Aided Design (19 citations), Computer Vision and Pattern Recognition (110 citations), Neurology (34 citations) and Orthopedics and Sports Medicine (27 citations). Monan Wang has collaborated with scholars based in China and United States. Frequent co-authors include Pengcheng Li, Donghui Li, Jian Wang, Zijian Wang, Jian Ping Gao, Zhijiang Du, Donghui Li, Xin Jin, Xin Wang and Peng Yuan. Their work appears in journals such as Scientific Reports, IEEE Access, Archives of Computational Methods in Engineering, Molecules and Mathematical Biosciences & Engineering.

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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