Fengyu Cong

4.6k total citations · 1 hit paper
208 papers, 2.8k citations indexed

About

Fengyu Cong is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fengyu Cong has authored 208 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Cognitive Neuroscience, 68 papers in Signal Processing and 38 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fengyu Cong's work include EEG and Brain-Computer Interfaces (75 papers), Blind Source Separation Techniques (65 papers) and Functional Brain Connectivity Studies (53 papers). Fengyu Cong is often cited by papers focused on EEG and Brain-Computer Interfaces (75 papers), Blind Source Separation Techniques (65 papers) and Functional Brain Connectivity Studies (53 papers). Fengyu Cong collaborates with scholars based in China, Finland and United States. Fengyu Cong's co-authors include Tapani Ristaniemi, Piia Astikainen, Qiu‐Hua Lin, Xiao‐Feng Gong, Chi Zhang, Li‐Dan Kuang, Klaus Mathiak, Zheng Chang, Fan Li and Heikki Lyytinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Fengyu Cong

188 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The applied principles of EEG analysis methods in neuroscience and clinical neurology

2023 73 citations Fengyu Cong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengyu Cong China	27	1.7k	606	407	347	346	208	2.8k
Javier Escudero United Kingdom	36	2.7k 1.6×	512 0.8×	203 0.5×	62 0.2×	240 0.7×	165	4.8k
Jean Kossaifi United Kingdom	12	861 0.5×	180 0.3×	467 1.1×	134 0.4×	318 0.9×	29	2.4k
Wim Van Paesschen Belgium	44	3.5k 2.1×	605 1.0×	208 0.5×	164 0.5×	1.2k 3.4×	208	7.5k
Jordi Solé‐Casals Spain	24	852 0.5×	294 0.5×	220 0.5×	41 0.1×	101 0.3×	126	1.8k
Eduardo Martínez‐Montes Cuba	17	1.2k 0.7×	268 0.4×	113 0.3×	131 0.4×	448 1.3×	49	1.6k
Joachim Möcks Germany	24	1.6k 1.0×	414 0.7×	138 0.3×	74 0.2×	100 0.3×	40	2.3k
Paul Sajda United States	39	3.8k 2.3×	655 1.1×	380 0.9×	27 0.1×	598 1.7×	177	6.0k
Yi‐Ou Li United States	15	1.2k 0.7×	521 0.9×	123 0.3×	50 0.1×	585 1.7×	22	1.9k
Herbert Witte Germany	30	2.6k 1.6×	440 0.7×	147 0.4×	27 0.1×	231 0.7×	167	3.6k
Nidal Kamel Malaysia	22	1.2k 0.7×	282 0.5×	338 0.8×	28 0.1×	180 0.5×	183	2.4k

Countries citing papers authored by Fengyu Cong

Since Specialization

Citations

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

Fields of papers citing papers by Fengyu Cong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengyu Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Fengyu Cong. A scholar is included among the top collaborators of Fengyu Cong 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 Fengyu Cong. Fengyu Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gaebler, Arnim Johannes, et al.. (2025). Basic stimulus processing alterations from top-down cognitive control in depression drive independent temporal components of multi-echo naturalistic fMRI data. Translational Psychiatry. 15(1). 171–171.

Li, Ying, Micha Keller, Stefan C. Wolter, et al.. (2025). Physiological fingerprinting of audiovisual warnings in assisted driving conditions: an investigation of fMRI and peripheral physiological indicators. Brain Structure and Function. 230(2). 31–31.

Xu, Hongming, Duan‐Bo Shi, Huamin Qin, et al.. (2025). When multiple instance learning meets foundation models: Advancing histological whole slide image analysis. Medical Image Analysis. 101. 103456–103456. 6 indexed citations

Wang, Ning, et al.. (2025). University Students’ Privacy Concerns Towards Generative Artificial Intelligence. Journal of Academic Ethics. 23(4). 2401–2422.

Wang, Xiulin, et al.. (2025). FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning. IEEE Journal of Biomedical and Health Informatics. 29(9). 6625–6636. 1 indexed citations

Zweerings, Jana, et al.. (2025). Characterizing the distribution of neural and non-neural components in multi-echo EPI data across echo times based on tensor-ICA. NeuroImage. 311. 121199–121199. 1 indexed citations

Li, Hongjin, et al.. (2025). Distributed data-privacy preserving federated learning method for sleep stage classification. Biomedical Signal Processing and Control. 109. 108032–108032.

Chen, Hongjun, et al.. (2024). The role of executive control ability in second language metaphor comprehension: Evidence from ERPs and sLORETA. Journal of Neurolinguistics. 72. 101211–101211.

Zhang, Guanghui, et al.. (2024). Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data. NeuroImage. 293. 120625–120625. 13 indexed citations

10.

Liu, Jia, Yongjie Zhu, Zheng Chang, et al.. (2024). Reconfiguration of Cognitive Control Networks During a Long-Duration Flanker Task. IEEE Transactions on Cognitive and Developmental Systems. 16(4). 1364–1373. 2 indexed citations

11.

Hao, Yuxing, Mingrui Xia, Yunge Zhang, et al.. (2023). Removal of site effects and enhancement of signal using dual projection independent component analysis for pooling multi‐site MRI data. European Journal of Neuroscience. 58(6). 3466–3487. 3 indexed citations

12.

Li, Ying, Yachen Wang, Fengyu Cong, et al.. (2023). Safety and efficacy outcomes after intranasal administration of neural stem cells in cerebral palsy: a randomized phase 1/2 controlled trial. Stem Cell Research & Therapy. 14(1). 16 indexed citations

13.

Liu, Hang, Shaowei Cui, Xiaohui Zhao, & Fengyu Cong. (2023). Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture. Biomedical Signal Processing and Control. 82. 104581–104581. 53 indexed citations

14.

Wang, Xiaoshuang, Chi Zhang, Tommi Kärkkäinen, Zheng Chang, & Fengyu Cong. (2022). Channel Increment Strategy-Based 1D Convolutional Neural Networks for Seizure Prediction Using Intracranial EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 316–325. 18 indexed citations

15.

Xu, Qi, et al.. (2022). Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 21 indexed citations

16.

Chen, Zhonghua, Hongkai Wang, Fengyu Cong, & Lauri Kettunen. (2022). Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-Resolution Multi-Organ Shape Prior Knowledge Model. Jyväskylä University Digital Archive (University of Jyväskylä). 349–353. 1 indexed citations

17.

Liu, Wenya, Chi Zhang, Xiaoyu Wang, et al.. (2020). Functional connectivity of major depression disorder using ongoing EEG during music perception. Clinical Neurophysiology. 131(10). 2413–2422. 56 indexed citations

18.

Li, Xueyan, Huili Wang, Pertti Saariluoma, et al.. (2019). Processing Mechanism of Chinese Verbal Jokes: Evidence from ERP and Neural Oscillations. SHILAP Revista de lepidopterología. 17(3). 260–277.

19.

Cong, Fengyu, et al.. (2015). ICA of full complex-valued fMRI data using phase information of spatial maps. Journal of Neuroscience Methods. 249. 75–91. 31 indexed citations

20.

Cong, Fengyu, et al.. (2011). How many single trials' EEG recordings are enough to extract children's brain activity of mismatch negativity by independent component analysis?. 546–551. 1 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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