Linlin Shen

12.0k citations
331 papers · 7.3k · 2 hit papers · h-index 44

Impact in

Papers in

Linlin Shen

299 papers receiving 7.1k citations

Linlin Shen's Hit Papers

Brain-inspired computing with memristors: Challenges in devices, circuits, and systems 2020 · 307 citations
3070+2+5Years since publication100200300400

Peers

Linlin Shen
Comparison fields: 5 of 187
  • Computer Vision and Pattern Recognition 3.5k
  • Media Technology 1.2k
  • Computational Mathematics 53
  • Signal Processing 666
  • Artificial Intelligence 1.7k
Replace Daoqiang Zhang with:
Daoqiang Zhang China
Z. Jane Wang Canada
Topi Mäenpää Finland
Yen‐Wei Chen Japan
Sergey Karayev United States
Jun Yu China
Yi Ma China
Rabab Ward Canada
Xiaofeng Zhu China
Qi Tian China
Linlin Shen relative to Daoqiang Zhang China Daoqiang Zhang's profile →
Citations per field
00.5×1.5×
Daoqiang Zhang · 1×
Citations per year

Countries citing papers authored by Linlin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 331 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network
Hit paper breakdown →
2018441
2
Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
Hit paper breakdown →
2020307
3 2006190
4 2011184
5 2017184
6 2017166
7 2014152
8 2012143
9 2020139
10 2014133
11 2022113
12 2021108
13 2020102
14 201497
15 201996
16 201689
17 202286
18 201883
19 202283
20 201483

About Linlin Shen

Linlin Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 331 papers that have together received 7.3k indexed citations. Recurring topics across this work include Face recognition and analysis (76 papers), Face and Expression Recognition (68 papers), Biometric Identification and Security (40 papers), Generative Adversarial Networks and Image Synthesis (29 papers), Advanced Neural Network Applications (24 papers), AI in cancer detection (23 papers), Remote-Sensing Image Classification (21 papers) and Advanced Image and Video Retrieval Techniques (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Media Technology (1.2k citations), Computational Mathematics (53 citations), Signal Processing (666 citations) and Artificial Intelligence (1.7k citations). Linlin Shen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuexiang Li, Xianxu Hou, Sen Jia, Li Bai, Meng Yang, Zhen Ji, Siyang Song, Weicheng Xie, Feng Liu and Qingquan Li. Their work appears in journals such as Pattern Recognition, Neurocomputing, IEEE Transactions on Multimedia, IEEE Transactions on Information Forensics and Security and Expert Systems with Applications.

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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