Zhang Fa

590 total citations
29 papers, 489 citations indexed

About

Zhang Fa is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Zhang Fa has authored 29 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 4 papers in Organic Chemistry. Recurrent topics in Zhang Fa's work include Quantum Dots Synthesis And Properties (6 papers), Perovskite Materials and Applications (6 papers) and Advanced Memory and Neural Computing (4 papers). Zhang Fa is often cited by papers focused on Quantum Dots Synthesis And Properties (6 papers), Perovskite Materials and Applications (6 papers) and Advanced Memory and Neural Computing (4 papers). Zhang Fa collaborates with scholars based in China, Taiwan and United States. Zhang Fa's co-authors include Yongtian Wang, Bingkun Chen, Ziheng Zhao, Lingling Huang, Yue Liu, Lingling Xie, Hong Zheng, Andrey L. Rogach, Gang Liu and Ning Zhu and has published in prestigious journals such as Advanced Materials, Chemical Engineering Journal and Small.

In The Last Decade

Zhang Fa

25 papers receiving 483 citations

Peers

Zhang Fa
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 375
  • Materials Chemistry 332
  • Electronic, Optical and Magnetic Materials 49
  • Organic Chemistry 41
  • Renewable Energy, Sustainability and the Environment 36
Replace Bing Tang with:
Bing Tang China
Yuan Yin China
Jingyun Li China
Mengyun Wang China
Yuhang Sheng China
Shuhao Zhang China
Bingqing Ye China
Hongbo Li China
Dongki Lee South Korea
Bing Tang China View profile →
Citations per field, relative to Zhang Fa
Zhang Fa · 1×
Citations per year, relative to Zhang Fa
Zhang Fa · 1×

Countries citing papers authored by Zhang Fa

Since Specialization
Citations

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

Fields of papers citing papers by Zhang Fa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhang Fa

This figure shows the co-authorship network connecting the top 25 collaborators of Zhang Fa. A scholar is included among the top collaborators of Zhang Fa 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 Zhang Fa. Zhang Fa 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 5
3 0
4 1
5 15
6 7
7 6
8 2
9 36
10 18
11 45
12 23
13 145
14 121
15
A New Method of Communication Protocol Conversion Process from Modbus to IEC 61850-8-1 and Its Application in Condition Monitoring
1
16 2
17
Applications and progress of nanofilm-modified long period fiber grating in biological and chemical analysis
1
18
Advance of the treatment of heavy metal wastewater by adsorption
11
19 35
20
The Classification Model of Computer Architectures
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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