Xiaobin Wu

32 papers receiving 293 citations

Peers

Xiaobin Wu
Comparison fields: 5 of 57
  • Computer Graphics and Computer-Aided Design 43
  • Computational Mechanics 74
  • Materials Chemistry 138
  • Media Technology 25
  • Mechanical Engineering 96
Replace Sangwon Hwang with:
Sangwon Hwang South Korea
Xiaoguang Han China
James Word United States
Christopher E. Goodyer United Kingdom
Geert Willems Belgium
Mukta Prasad Switzerland
Shayak Banerjee United States
Zhengyu Huang China
Lei Zhong China
Mingjie Wang China
Xiaobin Wu relative to Sangwon Hwang South Korea Sangwon Hwang's profile →
Citations per field
00.5×6.1×
Sangwon Hwang · 1×
Citations per year

Countries citing papers authored by Xiaobin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201279
2 200545
3 200420
4 202218
5 200614
6 200411
7 200810
8
Extraction and comparison of tourism information on the web
20119
9 20218
10 20228
11 20177
12 20066
13 20115
14
A Proposal of "TOIEBA" Search Engine for Tourism Event
20105
15 20115
16 20105
17 20234
18 20214
19 20224
20
On the Optimality of Piecewise Linear Max-norm Enclosures based on Slefes
20024

About Xiaobin Wu

Xiaobin Wu is a scholar working on Computational Mechanics, Materials Chemistry, Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 37 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (6 papers), Metal and Thin Film Mechanics (4 papers), Force Microscopy Techniques and Applications (4 papers), Advanced Image Fusion Techniques (4 papers), Diamond and Carbon-based Materials Research (4 papers), Image and Signal Denoising Methods (4 papers), Advanced machining processes and optimization (3 papers) and Advanced Sensor Technologies Research (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (43 citations), Computational Mechanics (74 citations), Materials Chemistry (138 citations), Media Technology (25 citations) and Mechanical Engineering (96 citations). Xiaobin Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jörg Peters, Fan Yang, Yujie Xu, Danqing Yi, Boxiang Wang, M. Robertson, Craig Bennett, Yaser Abdi, Henry H. Radamson and S. Mohajerzadeh. Their work appears in journals such as Remote Sensing, Applied Surface Science, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Materials Science and Engineering C and SIAM Journal on Numerical Analysis.

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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