Hailong Wu

927 citations
52 papers · 665 indexed · 1 hit paper · h-index 13
Topics
Additive Manufacturing and 3D Printing Technologies (11 papers)Advanced Battery Materials and Technologies (7 papers)Advancements in Battery Materials (7 papers)

In The Last Decade

Hailong Wu

46 papers receiving 646 citations

Hit Papers

Noble metal (Pd, Pt)-functionalized WSe2 monolayer for ad...202520262025204060

Peers

Hailong Wu
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 311
  • Materials Chemistry 229
  • Automotive Engineering 169
  • Mechanical Engineering 134
  • Industrial and Manufacturing Engineering 76
Replace Wanying Wang with:
Wanying Wang China
Qibing Wu China
Saurabh Agrawal India
Zoran Stević Serbia
Ziang Zhang China
Yanmei Li China
Adam Cook United States
Jinlei Shang United Kingdom
Jiayun Chen China
Hailong Wu relative to Wanying Wang China Wanying Wang's profile →
Citations per field
00.5×10×12.7×
Wanying Wang · 1×
Citations per year

Countries citing papers authored by Hailong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Wu. A scholar is included among the top collaborators of Hailong 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 Hailong Wu. Hailong 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
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11 16
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15 23
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20
Second-Order Calibration Based on Alternating Trilinear Decomposition:A Comparison with the Traditional PARAFAC Algorithm (Proceedings of Asianalysis 4--The Fourth Asian Conference on Analytical Sciences)
1

About Hailong Wu

Hailong Wu is a scholar working on Automotive Engineering, Ceramics and Composites and Orthodontics, having authored 52 papers that have together received 665 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (11 papers), Advanced Battery Materials and Technologies (7 papers) and Advancements in Battery Materials (7 papers). The work is most often cited by research in Automotive Engineering (169 citations), Industrial and Manufacturing Engineering (76 citations) and Transportation (44 citations). Hailong Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hao Cui, Chenmeng Zhang, Dan He, Shouxiao Ma, Anfu Guo, Lu Tong, Dekun Kong, Yu Yao, Xuesong Zhou and Xiaoning Zhu. Their work appears in journals such as Energy & Environmental Science, ACS Applied Materials & Interfaces and Global Change Biology.

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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