Feng Lin

183 papers receiving 2.7k citations

Peers

Feng Lin
Comparison fields: 5 of 161
  • Signal Processing 543
  • Human-Computer Interaction 178
  • Computer Vision and Pattern Recognition 517
  • Hardware and Architecture 126
  • Physical Therapy, Sports Therapy and Rehabilitation 67
Replace Wenbing Zhao with:
Wenbing Zhao United States
Hassan Ghasemzadeh United States
Asim Smailagic United States
Miad Faezipour United States
Christian Poellabauer United States
Klaus D. McDonald-Maier United Kingdom
Naeem Ramzan United Kingdom
N. Arunkumar India
Chiew Tong Lau Singapore
Balakrishnan Prabhakaran United States
Feng Lin relative to Wenbing Zhao United States Wenbing Zhao's profile →
Citations per field
00.5×1.5×2.3×
Wenbing Zhao · 1×
Citations per year

Countries citing papers authored by Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng Lin, 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 Lin Line = papers co-authored together Feng Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016191
2 2017140
3 1990132
4 2017120
5 2016107
6
DRAM Circuit Design: Fundamental and High-Speed Topics
200780
7 202269
8 202169
9 201667
10 202066
11 202051
12 202048
13 201645
14 202243
15 201842
16 202240
17 201939
18 202337
19 201635
20 202034

About Feng Lin

Feng Lin is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering, having authored 202 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (26 papers), Speech Recognition and Synthesis (19 papers), User Authentication and Security Systems (18 papers), Music and Audio Processing (17 papers), Digital Media Forensic Detection (14 papers), Biometric Identification and Security (13 papers), EEG and Brain-Computer Interfaces (11 papers) and Balance, Gait, and Falls Prevention (11 papers). The work is most often cited by research in Signal Processing (543 citations), Human-Computer Interaction (178 citations), Computer Vision and Pattern Recognition (517 citations), Hardware and Architecture (126 citations) and Physical Therapy, Sports Therapy and Rehabilitation (67 citations). Feng Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenyao Xu, Aosen Wang, Kui Ren, Yan Zhuang, Kui Ren, Chen Song, Zhongjie Ba, Changzhi Li, Machiko Tomita and Chen Song. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Information Forensics and Security, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Biomedical Circuits and Systems.

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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