Yanjuan Geng

1.5k total citations
49 papers, 1.1k citations indexed

About

Yanjuan Geng is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yanjuan Geng has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 35 papers in Cognitive Neuroscience and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yanjuan Geng's work include Muscle activation and electromyography studies (43 papers), EEG and Brain-Computer Interfaces (31 papers) and Neuroscience and Neural Engineering (25 papers). Yanjuan Geng is often cited by papers focused on Muscle activation and electromyography studies (43 papers), EEG and Brain-Computer Interfaces (31 papers) and Neuroscience and Neural Engineering (25 papers). Yanjuan Geng collaborates with scholars based in China, Hong Kong and Australia. Yanjuan Geng's co-authors include Guanglin Li, Oluwarotimi Williams Samuel, Ping Zhou, Peng Fang, Shixiong Chen, Mojisola Grace Asogbon, Xiangxin Li, Ning Ji, Yaonan Li and Sandeep Pirbhulal and has published in prestigious journals such as IEEE Access, BioMed Research International and Neuroscience Letters.

In The Last Decade

Yanjuan Geng

47 papers receiving 1.1k citations

Peers

Countries citing papers authored by Yanjuan Geng

Since Specialization

Citations

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

Fields of papers citing papers by Yanjuan Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjuan Geng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep end-to-end transfer learning for robust inter-subject and inter-day hand gesture recognition using surface EMG 2024 ·Biomedical Signal Processing and Control ·Jianfeng Li, Xinyu Jiang, Jiahao Fan, Yanjuan Geng, (unknown), Chenyun Dai	2
2	Characterizing upper limb motor dysfunction with temporal and spatial distribution of muscle synergy extracted from high-density surface electromyography 2024 ·Journal of Neural Engineering ·Haoshi Zhang, (unknown), (unknown), Yinghu Peng, Xiaomeng Zhou, Yanjuan Geng, Guanglin Li	0
3	In-Situ Measuring sEMG and Muscle Shape Change With a Flexible and Stretchable Hybrid Sensor for Hand Gesture Recognition 2022 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Pingao Huang, Hui Wang, Yuan Wang, Yanjuan Geng, (unknown), Chao Gao, Zhiyuan Liu, Guanglin Li	12
4	A CNN-Attention Network for Continuous Estimation of Finger Kinematics from Surface Electromyography 2022 ·IEEE Robotics and Automation Letters ·Yanjuan Geng, (unknown), (unknown), (unknown), (unknown), (unknown), Xin Guo, Guanglin Li	35
5	Applying muscle synergy analysis to forearm high-density electromyography of healthy people 2022 ·Frontiers in Neuroscience ·Yanjuan Geng, (unknown), Yang Zhao, Vincent C. K. Cheung, Guanglin Li	2
6	Changes in synchronization of the motor unit in muscle fatigue condition during the dynamic and isometric contraction in the Biceps Brachii muscle 2021 ·Neuroscience Letters ·Xiangyu Liu, (unknown), Yanjuan Geng, Long Meng, Huiying Wan, Haoran Ren, Xinyue Zhang, Chenyun Dai, Wei Chen, Xinming Ye	10
7	Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems 2021 ·Neural Computing and Applications ·Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, (unknown), (unknown), Yupeng Zheng, Kelvin K. L. Wong, Luca Vollero, Guanglin Li	15
8	Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features 2020 ·Biomedical Signal Processing and Control ·Wan-Hua Lin, Fei Chen, Yanjuan Geng, Ning Ji, Peng Fang, Guanglin Li	39
9	Modulation of muscle synergies for multiple forearm movements under variant force and arm position constraints 2020 ·Journal of Neural Engineering ·Yanjuan Geng, (unknown), Oluwarotimi Williams Samuel, Vincent C. K. Cheung, Lisheng Xu, Guanglin Li	16
10	Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses 2019 ·Computer Methods and Programs in Biomedicine ·Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanjuan Geng, Olugbenga Oluwagbemi, Ning Ji, Shixiong Chen, Ganesh R. Naik, (unknown), Guanglin Li	42
11	Toward mapping spatiotemporal characteristics of muscle oxygenation in different motor modalities by multichannel near‐infrared spectroscopy 2019 ·International Journal of Adaptive Control and Signal Processing ·Han Cui, Yanjuan Geng, Oluwarotimi Williams Samuel, (unknown), (unknown), Zhen Huang, Guanglin Li	0
12	A robot exoskeleton can improve hand function early after stroke 2018 ·Zhonghua wuli yixue zazhi ·(unknown), (unknown), Yan Chen, Zhengmao Ye, Liting Fang, Lijuan Luo, Yanjuan Geng	2
13	A Robust Sparse Representation Based Pattern Recognition Approach for Myoelectric Control 2018 ·IEEE Access ·Yanjuan Geng, (unknown), Oluwarotimi Williams Samuel, Shixiong Chen, Xiaoqiang Lu, Chuang Lin, Guanglin Li	35
14	Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses 2017 ·Computers in Biology and Medicine ·Oluwarotimi Williams Samuel, Xiangxin Li, Yanjuan Geng, Mojisola Grace Asogbon, Peng Fang, Zhen Huang, Guanglin Li	57
15	Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors 2017 ·Journal of Medical Systems ·Oluwarotimi Williams Samuel, Yanjuan Geng, Xiangxin Li, Guanglin Li	45
16	A novel channel selection method for multiple motion classification using high-density electromyography 2014 ·BioMedical Engineering OnLine ·Yanjuan Geng, Xiufeng Zhang, Yuan‐Ting Zhang, Guanglin Li	48
17	Pattern recognition based forearm motion classification for patients with chronic hemiparesis 2013 ·PubMed ·Yanjuan Geng, (unknown), (unknown), Xiufeng Zhang, Guanglin Li	13
18	Reduction of the effect of arm position variation on real-time performance of motion classification 2012 ·PubMed ·Yanjuan Geng, Fan Zhang, (unknown), Yuan‐Ting Zhang, Guanglin Li	12
19	Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees 2012 ·Journal of NeuroEngineering and Rehabilitation ·Yanjuan Geng, Ping Zhou, Guanglin Li	144
20	Selection of sampling rate for EMG pattern recognition based prosthesis control 2010 ·PubMed ·Guanglin Li, Yaonan Li, Zhiyong Zhang, Yanjuan Geng, (unknown)	22

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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