Haihong Wu

573 citations
34 papers · 436 indexed · h-index 12
Topics
Aluminum Alloys Composites Properties (6 papers)Mechanical Behavior of Composites (5 papers)Polymer crystallization and properties (5 papers)

In The Last Decade

Haihong Wu

30 papers receiving 430 citations

Peers

Haihong Wu
Comparison fields: 5 of 47
  • Mechanical Engineering 157
  • Mechanics of Materials 141
  • Polymers and Plastics 121
  • Materials Chemistry 93
  • Automotive Engineering 83
Replace Nagaraja Shetty with:
Nagaraja Shetty India
David Ayre United Kingdom
Sudharshan Anandan United States
Mazlee Mohd Noor Malaysia
Olugbenga Ogunbiyi South Africa
Minglonghai Zhang Hong Kong
K.H. Wong United Kingdom
P. Gurusamy India
Sandeep Tamrakar United States
Hui Leng Choo Malaysia
Haihong Wu relative to Nagaraja Shetty India Nagaraja Shetty's profile →
Citations per field
00.5×1.5×1.8×
Nagaraja Shetty · 1×
Citations per year

Countries citing papers authored by Haihong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haihong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haihong Wu. A scholar is included among the top collaborators of Haihong Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haihong Wu. Haihong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 1
6 3
7 1
8 0
9 2
10 13
11 41
12 30
13 3
14 12
15 6
16 20
17 21
18 2
19
Micro-hole of the common-rail abrasive flow machining equipment design and numerical simulation
0
20
Calculation of residual stress in injection molding for fiber-reinforced polymers
1

About Haihong Wu

Haihong Wu is a scholar working on Polymers and Plastics, Mechanics of Materials and Automotive Engineering, having authored 34 papers that have together received 436 indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (6 papers), Mechanical Behavior of Composites (5 papers) and Polymer crystallization and properties (5 papers). The work is most often cited by research in Polymers and Plastics (121 citations), Automotive Engineering (83 citations) and Biomaterials (79 citations). Haihong Wu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Ying‐Guo Zhou, Baiping Xu, Tie Geng, Wei Liu, Zhijie Yan, Zhongyue Li, Hui Li, Wenhu Xu, Min Zhong and Meirong Yi. Their work appears in journals such as Composites Part A Applied Science and Manufacturing, Journal of Applied Polymer Science and Wear.

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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