F. Lin

188 papers receiving 3.0k citations

Peers

F. Lin
Comparison fields: 5 of 164
  • Signal Processing 592
  • Human-Computer Interaction 195
  • Computer Vision and Pattern Recognition 572
  • Hardware and Architecture 141
  • Physical Therapy, Sports Therapy and Rehabilitation 71
Replace Wenbing Zhao with:
Wenbing Zhao United States
Miad Faezipour United States
Hassan G Ghasemzadeh United States
N. Arunkumar India
Mamun Bin Ibne Reaz Malaysia
Christian Poellabauer United States
Naeem Ramzan United Kingdom
Chiew Tong Lau Singapore
Tomas Emmanuel Ward Ireland
Shervin Shirmohammadi Canada
F. Lin relative to Wenbing Zhao United States Wenbing Zhao's profile →
Citations per field
00.5×1.5×2.2×
Wenbing Zhao · 1×
Citations per year

Countries citing papers authored by F. Lin

Since Specialization
Citations

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

Fields of papers citing papers by F. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016205
2 1990158
3 2017151
4 2017133
5 2016114
6
DRAM Circuit Design: Fundamental and High-Speed Topics
200785
7 201683
8 202280
9 202073
10 202170
11 202056
12 202053
13 202248
14 201847
15 201646
16 202245
17 202344
18 201940
19 201639
20 202438

About F. Lin

F. Lin is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation, having authored 206 papers that have together received 3.1k 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), Adversarial Robustness in Machine Learning (12 papers) and Balance, Gait, and Falls Prevention (11 papers). The work is most often cited by research in Signal Processing (592 citations), Human-Computer Interaction (195 citations), Computer Vision and Pattern Recognition (572 citations), Hardware and Architecture (141 citations) and Physical Therapy, Sports Therapy and Rehabilitation (71 citations). F. Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenyao Xu, Aosen Wang, Kui Ren, Kui Ren, Yan Zhuang, Chen Song, Zhongjie Ba, Changzhi Li, Machiko Tomita and Chen Lu Song. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Mobile Computing, 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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