Feng Ran

518 citations
72 papers · 363 · h-index 10

Impact in

Papers in

    • Thin-Film Transistor Technologies 18
    • CCD and CMOS Imaging Sensors 10
    • Organic Light-Emitting Diodes Research 6
    • Advancements in Semiconductor Devices and Circuit Design 5
    • Advanced Optical Imaging Technologies 8
    • Image Processing Techniques and Applications 6

Feng Ran

57 papers receiving 345 citations

Peers

Feng Ran
Comparison fields: 5 of 51
  • Computer Networks and Communications 81
  • Electrical and Electronic Engineering 194
  • Hardware and Architecture 22
  • Signal Processing 31
  • Human-Computer Interaction 14
Replace Long Cheng with:
Long Cheng China
Madhav Rao India
Md Maruf Hossain Shuvo United States
Magdy A. El-Moursy Egypt
Kevin Irick United States
Subhanshu Gupta United States
Eloísa García–Canseco Mexico
Tee Hui Teo Singapore
Eduardo Parente Ribeiro Brazil
Binhee Kim South Korea
Feng Ran relative to Long Cheng China Long Cheng's profile →
Citations per field
00.5×1.5×
Long Cheng · 1×
Citations per year

Countries citing papers authored by Feng Ran

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng Ran Line = papers co-authored together Feng Ran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202259
2 201536
3 202030
4 201424
5 201919
6 200715
7 201311
8 201511
9 200710
10 20149
11 20119
12 20158
13 20168
14 20097
15 20056
16 20126
17 20186
18 20206
19 20105
20 20085

About Feng Ran

Feng Ran is a scholar working on Electrical and Electronic Engineering, Media Technology, Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering, having authored 72 papers that have together received 363 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (18 papers), CCD and CMOS Imaging Sensors (10 papers), Embedded Systems and FPGA Design (8 papers), Advanced Optical Imaging Technologies (8 papers), Analog and Mixed-Signal Circuit Design (7 papers), Image Processing Techniques and Applications (6 papers), Organic Light-Emitting Diodes Research (6 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). The work is most often cited by research in Computer Networks and Communications (81 citations), Electrical and Electronic Engineering (194 citations), Hardware and Architecture (22 citations), Signal Processing (31 citations) and Human-Computer Interaction (14 citations). Feng Ran has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Meihua Xu, Ang Li, Jiao Li, David J. Lilja, Bing Han, Allon Guez, Aiying Guo, Zhangjin Chen, Jun Cai and Jimei Zhang. Their work appears in journals such as Journal of Semiconductors, IEEE Access, Sensors, Displays and Electronics.

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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