Feng Ran

427 citations
60 papers · 326 · h-index 9

Impact in

Papers in

Feng Ran

47 papers receiving 306 citations

Peers

Feng Ran
Comparison fields: 5 of 50
  • Computer Networks and Communications 76
  • Electrical and Electronic Engineering 164
  • Automotive Engineering 34
  • Cognitive Neuroscience 51
  • Human-Computer Interaction 16
Replace Eloísa García–Canseco with:
Eloísa García–Canseco Mexico
Madhav Rao India
Haiyan Li China
Muhammad Khurram Ehsan Pakistan
Tee Hui Teo Singapore
Abdelrahman Elleithy United States
Subhanshu Gupta United States
Anil Nandgaonkar India
Binhee Kim South Korea
Branislav Kisačanin United States
Feng Ran relative to Eloísa García–Canseco Mexico Eloísa García–Canseco's profile →
Citations per field
00.5×1.5×1.9×
Eloísa García–Canseco · 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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202265
2 201536
3 202033
4 201424
5 201919
6 201511
7 201311
8 20149
9 20119
10 20168
11 20158
12 20147
13 20207
14 20186
15 20126
16 20085
17 20104
18 20104
19 20173
20 20073

About Feng Ran

Feng Ran is a scholar working on Electrical and Electronic Engineering, Media Technology, Computer Vision and Pattern Recognition, Biomedical Engineering and Automotive Engineering, having authored 60 papers that have together received 326 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (16 papers), CCD and CMOS Imaging Sensors (10 papers), Advanced Optical Imaging Technologies (7 papers), Analog and Mixed-Signal Circuit Design (6 papers), Organic Light-Emitting Diodes Research (5 papers), Autonomous Vehicle Technology and Safety (5 papers), Embedded Systems and FPGA Design (5 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (76 citations), Electrical and Electronic Engineering (164 citations), Automotive Engineering (34 citations), Cognitive Neuroscience (51 citations) and Human-Computer Interaction (16 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, Aiying Guo, Allon Guez, Jimei Zhang, Xi Lu and Jian-Yu Li. Their work appears in journals such as IEEE Access, Sensors, Journal of Semiconductors, Journal of the Society for Information Display and Organic 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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