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Feiwei Qin

ResearcherPublications, citations & collaboration network

Feiwei Qin is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 157 works, 2,350 citations, an h-index of 26 and an i10-index of 38.

157
Works
2,350
Citations
26
h-index
38
i10-index

How has Feiwei Qin's publication output changed over time?

ScholarIQpublication output · 2014–2025

Output grew0% over the shown period — from 1 works in 2014 to 1 in 2025.

1
1
3
2
2
1
1
2014201720182021202320242025

What are the most-cited papers on Feiwei Qin?

ScholarIQmost cited works
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases
Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao
S44278595. 2024386 Citations
EEG classification of driver mental states by deep learning
Hong Zeng, Yang Chen, Guojun Dai, Feiwei Qin, Jianhai Zhang, Wanzeng Kong
S766161. 2018211 CitationsOPEN ACCESS
Fine-grained leukocyte classification with deep residual learning for microscopic images
Feiwei Qin, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin
Computer Methods and Programs in Biomedicine. 2018167 Citations
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition
Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki
S2488537894. 202182 Citations
A miR-135b-TAZ positive feedback loop promotes epithelial–mesenchymal transition (EMT) and tumorigenesis in osteosarcoma
Shuying Shen, Kangmao Huang, Yizheng Wu, Yan Ma, Jiying Wang, Feiwei Qin, Jianjun Ma
S106234763. 201772 Citations

Related on ScholarIQ

Hangzhou Dianzi University
Institution
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases
Paper
EEG classification of driver mental states by deep learning
Paper
Fine-grained leukocyte classification with deep residual learning for microscopic images
Paper
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition
Paper
A miR-135b-TAZ positive feedback loop promotes epithelial–mesenchymal transition (EMT) and tumorigenesis in osteosarcoma
Paper
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