Zhonghua Wu

2.4k total citations
42 papers, 1.2k citations indexed

About

Zhonghua Wu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Zhonghua Wu has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Materials Chemistry. Recurrent topics in Zhonghua Wu's work include RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (8 papers) and Protein Structure and Dynamics (8 papers). Zhonghua Wu is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (8 papers) and Protein Structure and Dynamics (8 papers). Zhonghua Wu collaborates with scholars based in China, United States and France. Zhonghua Wu's co-authors include Lukasz Kurgan, Arun S. Mujumdar, Jianfei Cai, Gang Hu, Vladimir N. Uversky, Guosheng Lin, Kui Wang, Akila Katuwawala, Jianzhao Gao and Sina Ghadermarzi and has published in prestigious journals such as Advanced Materials, Nature Communications and Bioinformatics.

In The Last Decade

Zhonghua Wu

37 papers receiving 1.2k citations

Peers

Zhonghua Wu
Comparison fields: 5 of 118
  • Molecular Biology 631
  • Biomedical Engineering 197
  • Materials Chemistry 168
  • Computational Mechanics 160
  • Computer Vision and Pattern Recognition 148
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Citations per field, relative to Zhonghua Wu
Zhonghua Wu · 1×
Citations per year, relative to Zhonghua Wu
Zhonghua Wu · 1×

Countries citing papers authored by Zhonghua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Wu. A scholar is included among the top collaborators of Zhonghua 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 Zhonghua Wu. Zhonghua 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 0
2 0
3 5
4 1
5 0
6 180
7 62
8 39
9 4
10 12
11 55
12 21
13 5
14 48
15 18
16 3
17
Smart Power Drilling Technology on Drilling Power and Signal Transmission Drillpipe
0
18
Development of mechanical tool for automatic vertical drilling
4
19 47
20
Effect of ginsenoside Rb1 on the expression of GLUT1 in penumbra area after cerebral ischemia/reperfusion injury in rats
2

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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