Wu Zhang

815 citations
29 papers · 604 indexed · 1 hit paper · h-index 11
Topics
Lattice Boltzmann Simulation Studies (7 papers)Aerosol Filtration and Electrostatic Precipitation (6 papers)Generative Adversarial Networks and Image Synthesis (3 papers)

In The Last Decade

Wu Zhang

28 papers receiving 559 citations

Hit Papers

Student Engagement Predictions in an e-Learning System an...2018202620202023201850100150200

Peers

Wu Zhang
Comparison fields: 5 of 93
  • Computer Science Applications 169
  • Mechanics of Materials 161
  • Artificial Intelligence 106
  • Computational Mechanics 94
  • Education 84
Replace Minseok Kang with:
Minseok Kang South Korea
Shang-Wen Li United States
Meng Xia Hong Kong
Cara MacNish Australia
Lucia Dettori United States
Abdullah Alqahtani Saudi Arabia
René van Es Netherlands
Zhen Chen China
Mo Zhang United States
Wu Zhang relative to Minseok Kang South Korea Minseok Kang's profile →
Citations per field
00.5×10.7×
Minseok Kang · 1×
Citations per year

Countries citing papers authored by Wu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Wu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Zhang. A scholar is included among the top collaborators of Wu Zhang 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 Wu Zhang. Wu Zhang 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 1
2 5
3 3
4 3
5
Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scoresbreakdown →
235
6 29
7 1
8 12
9 3
10 70
11
Compressible lattice boltzmann method and applications
7
12 19
13 1
14 71
15 1
16 79
17 0
18
Parallel Simulation of Compressible Fluid Dynamics Using Lattice Boltzmann Method
2
19 15
20
Numerical simulation and parallel computation of airplane using fluent
3

About Wu Zhang

Wu Zhang is a scholar working on Computational Mechanics, Computer Science Applications and Computational Theory and Mathematics, having authored 29 papers that have together received 604 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (7 papers), Aerosol Filtration and Electrostatic Precipitation (6 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Science Applications (169 citations), Health Informatics (12 citations) and Mechanics of Materials (161 citations). Wu Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wenhao Zhu, Syed Muhammad Raza Abidi, Mushtaq Hussain, Yumin Cheng, Junjie Peng, Haiyang Xie, Fei Chen, Lin Zhou, Kangjie Chen and Chunyang Xing. Their work appears in journals such as Scientific Reports, Sustainability and Physics of Fluids.

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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