Hua Fan

475 total citations
74 papers, 330 citations indexed

About

Hua Fan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Hua Fan has authored 74 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 45 papers in Biomedical Engineering and 23 papers in Computer Networks and Communications. Recurrent topics in Hua Fan's work include Analog and Mixed-Signal Circuit Design (37 papers), CCD and CMOS Imaging Sensors (24 papers) and Sensor Technology and Measurement Systems (23 papers). Hua Fan is often cited by papers focused on Analog and Mixed-Signal Circuit Design (37 papers), CCD and CMOS Imaging Sensors (24 papers) and Sensor Technology and Measurement Systems (23 papers). Hua Fan collaborates with scholars based in China, United Kingdom and Italy. Hua Fan's co-authors include Hadi Heidari, Quanyuan Feng, Franco Maloberti, Qi Wei, Rami Ghannam, Huazhong Yang, Xue Han, Jingtao Li, Fei Qiao and Siming Zuo and has published in prestigious journals such as IEEE Access, RSC Advances and Review of Scientific Instruments.

In The Last Decade

Hua Fan

62 papers receiving 317 citations

Peers

Hua Fan
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 220
  • Biomedical Engineering 196
  • Computer Networks and Communications 69
  • Media Technology 37
  • Mechanical Engineering 26
Replace Jia Mao with:
Jia Mao Sweden
Óscar Oballe-Peinado Spain
Julián Castellanos-Ramos Spain
Long Cheng China
Yongsang Kim South Korea
Lukáš Vojtěch Czechia
Ming‐An Chung Taiwan
Na Yan China
Juha Häkkinen Finland
José A. Sánchez-Durán Spain
Jia Mao Sweden View profile →
Citations per field, relative to Hua Fan
Hua Fan · 1×
Citations per year, relative to Hua Fan
Hua Fan · 1×

Countries citing papers authored by Hua Fan

Since Specialization
Citations

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

Fields of papers citing papers by Hua Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Fan. A scholar is included among the top collaborators of Hua Fan 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 Hua Fan. Hua Fan 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 0
4 0
5 2
6 2
7 5
8 4
9 15
10 1
11 2
12 14
13 5
14 3
15 28
16 6
17 2
18 2
19 1
20 18

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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