Qingshan She

1.5k total citations
73 papers, 1.0k citations indexed

About

Qingshan She is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Qingshan She has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 22 papers in Signal Processing and 22 papers in Artificial Intelligence. Recurrent topics in Qingshan She's work include EEG and Brain-Computer Interfaces (44 papers), Blind Source Separation Techniques (22 papers) and Machine Learning and ELM (16 papers). Qingshan She is often cited by papers focused on EEG and Brain-Computer Interfaces (44 papers), Blind Source Separation Techniques (22 papers) and Machine Learning and ELM (16 papers). Qingshan She collaborates with scholars based in China, United States and South Africa. Qingshan She's co-authors include Yingchun Zhang, Yuliang Ma, Zhizeng Luo, Ming Meng, Feng Fang, Yunyuan Gao, Jianhai Zhang, Yun Chen, Thinh Nguyen and Thomas Potter and has published in prestigious journals such as Environmental Pollution, IEEE Access and Neurocomputing.

In The Last Decade

Qingshan She

66 papers receiving 993 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingshan She China 19 591 240 199 181 161 73 1.0k
Yuliang Ma China 18 527 0.9× 150 0.6× 282 1.4× 139 0.8× 118 0.7× 51 840
Yunyuan Gao China 17 636 1.1× 123 0.5× 180 0.9× 155 0.9× 153 1.0× 59 898
Weidong Dang China 20 807 1.4× 189 0.8× 386 1.9× 231 1.3× 178 1.1× 47 1.6k
Humaira Nisar Malaysia 17 445 0.8× 147 0.6× 168 0.8× 171 0.9× 138 0.9× 151 1.3k
Rami Alazrai Jordan 18 305 0.5× 205 0.9× 104 0.5× 189 1.0× 120 0.7× 59 853
Ziyu Jia China 20 759 1.3× 188 0.8× 417 2.1× 112 0.6× 149 0.9× 64 1.3k
Zhizeng Luo China 20 703 1.2× 238 1.0× 121 0.6× 584 3.2× 112 0.7× 108 1.4k
Zhe Sun China 16 404 0.7× 264 1.1× 84 0.4× 94 0.5× 79 0.5× 85 1.1k
Tohid Yousefi Rezaii Iran 16 405 0.7× 117 0.5× 179 0.9× 106 0.6× 152 0.9× 57 762
Banghua Yang China 18 855 1.4× 155 0.6× 84 0.4× 120 0.7× 312 1.9× 108 1.3k

Countries citing papers authored by Qingshan She

Since Specialization
Citations

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

Fields of papers citing papers by Qingshan She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingshan She

This figure shows the co-authorship network connecting the top 25 collaborators of Qingshan She. A scholar is included among the top collaborators of Qingshan She based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingshan She. Qingshan She is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
She, Qingshan, Yipeng Li, Yun Chen, et al.. (2025). Dual filtration subdomain adaptation network for cross-subject EEG emotion recognition. Neurocomputing. 639. 130254–130254. 3 indexed citations
2.
Ma, Yuliang, et al.. (2025). Lesion boundary detection for skin lesion segmentation based on boundary sensing and CNN-transformer fusion networks. PubMed. 167. 103190–103190. 4 indexed citations
3.
4.
Xu, Haiqi, Qingshan She, Ming Meng, Yunyuan Gao, & Yingchun Zhang. (2025). EFDFNet: A multimodal deep fusion network based on feature disentanglement for attention state classification. Biomedical Signal Processing and Control. 109. 108042–108042. 1 indexed citations
5.
She, Qingshan, et al.. (2025). Auxiliary classifier adversarial networks with maximum subdomain discrepancy for EEG-based emotion recognition. Medical & Biological Engineering & Computing. 63(11). 3153–3167. 2 indexed citations
6.
She, Qingshan, et al.. (2024). Neurovascular Coupling Analysis Based on Multivariate Variational Gaussian Process Convergent Cross-Mapping. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1873–1883. 4 indexed citations
7.
She, Qingshan, et al.. (2024). Enhancing cross-subject EEG emotion recognition through multi-source manifold metric transfer learning. Computers in Biology and Medicine. 174. 108445–108445. 5 indexed citations
8.
Song, Hao, Qingshan She, Feng Fang, et al.. (2024). Domain generalization through latent distribution exploration for motor imagery EEG classification. Neurocomputing. 614. 128889–128889. 3 indexed citations
9.
Li, Junhao, Qingshan She, Ming Meng, Shengzhi Du, & Yingchun Zhang. (2024). Three-stage transfer learning for motor imagery EEG recognition. Medical & Biological Engineering & Computing. 62(6). 1689–1701. 1 indexed citations
10.
She, Qingshan, et al.. (2024). LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(3). 2088–2099. 2 indexed citations
11.
She, Qingshan, Tie Chen, Feng Fang, Yunyuan Gao, & Yingchun Zhang. (2024). Discriminative Adversarial Network Based on Spatial–Temporal–Graph Fusion for Motor Imagery Recognition. IEEE Transactions on Computational Social Systems. 12(3). 972–983. 7 indexed citations
12.
She, Qingshan, et al.. (2023). Upper Limb Cortical-Muscular Coupling Analysis Based on Time-Delayed Back Maximum Information Coefficient Model. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4635–4643. 3 indexed citations
13.
She, Qingshan, et al.. (2023). Cross-subject EEG emotion recognition using multi-source domain manifold feature selection. Computers in Biology and Medicine. 159. 106860–106860. 38 indexed citations
14.
She, Qingshan, et al.. (2022). Motor imagery EEG decoding using manifold embedded transfer learning. Journal of Neuroscience Methods. 370. 109489–109489. 31 indexed citations
15.
Li, Dong, et al.. (2022). A Lightweight Semantic Map Construction Method for Robot Target Search. 2022 34th Chinese Control and Decision Conference (CCDC). 38. 3560–3564. 1 indexed citations
16.
Lin, Jingchao, Qingshan She, & Yun Chen. (2022). Pulmonary nodule detection based on IR-UNet +  +. Medical & Biological Engineering & Computing. 61(2). 485–495. 17 indexed citations
17.
She, Qingshan, et al.. (2021). Sub-band target alignment common spatial pattern in brain-computer interface. Computer Methods and Programs in Biomedicine. 207. 106150–106150. 24 indexed citations
18.
She, Qingshan, Jie Zou, Zhizeng Luo, et al.. (2020). Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine. Medical & Biological Engineering & Computing. 58(9). 2119–2130. 13 indexed citations
19.
She, Qingshan, Bo Hu, Zhizeng Luo, Thinh Nguyen, & Yingchun Zhang. (2018). A hierarchical semi-supervised extreme learning machine method for EEG recognition. Medical & Biological Engineering & Computing. 57(1). 147–157. 58 indexed citations
20.
She, Qingshan, et al.. (2009). Spatially adaptive image reconstruction via compressive sensing. Asian Control Conference. 1570–1575. 4 indexed citations

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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