Haibo Wu

1.9k total citations
101 papers, 1.5k citations indexed

About

Haibo Wu is a scholar working on Ceramics and Composites, Computer Networks and Communications and Mechanical Engineering. According to data from OpenAlex, Haibo Wu has authored 101 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ceramics and Composites, 31 papers in Computer Networks and Communications and 25 papers in Mechanical Engineering. Recurrent topics in Haibo Wu's work include Advanced ceramic materials synthesis (36 papers), Advanced materials and composites (20 papers) and Caching and Content Delivery (20 papers). Haibo Wu is often cited by papers focused on Advanced ceramic materials synthesis (36 papers), Advanced materials and composites (20 papers) and Caching and Content Delivery (20 papers). Haibo Wu collaborates with scholars based in China, United States and South Korea. Haibo Wu's co-authors include Qing Huang, Yinsheng Li, Xuejian Liu, Xuejian Liu, Ha‐Neul Kim, Young‐Jo Park, Jae‐Woong Ko, Zhi Jiang, Zhengren Huang and Hai-Doo Kim and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Applied Physics Letters.

In The Last Decade

Haibo Wu

95 papers receiving 1.4k citations

Peers

Haibo Wu
Comparison fields: 5 of 89
  • Ceramics and Composites 510
  • Mechanical Engineering 485
  • Materials Chemistry 465
  • Electrical and Electronic Engineering 286
  • Computer Networks and Communications 191
Replace Chen Tian with:
Chen Tian China
Chong Hee Kim South Korea
Guangyi Zhang China
Yingjie He China
K. Sivakumar India
Meijie Zhang China
Yujun Zhang China
Haijun Li China
Chen Tian China View profile →
Citations per field, relative to Haibo Wu
Haibo Wu · 1×
Citations per year, relative to Haibo Wu
Haibo Wu · 1×

Countries citing papers authored by Haibo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Wu. A scholar is included among the top collaborators of Haibo 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 Haibo Wu. Haibo 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
# Work Indexed citations
1 1
2 3
3 0
4 7
5 2
6 4
7 3
8 18
9 10
10 3
11 20
12 26
13 17
14 19
15 61
16 8
17 39
18 27
19
Study of Minimum Spanning Tree Routing Algorithm in LEACH
2
20
The Influence of Parameters in PP/PE Blends Meltblowing Process on Web Properties
1

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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