Dong Ming

10.1k total citations · 1 hit paper
574 papers, 6.9k citations indexed

About

Dong Ming is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Dong Ming has authored 574 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 378 papers in Cognitive Neuroscience, 146 papers in Cellular and Molecular Neuroscience and 124 papers in Biomedical Engineering. Recurrent topics in Dong Ming's work include EEG and Brain-Computer Interfaces (308 papers), Neuroscience and Neural Engineering (133 papers) and Neural dynamics and brain function (115 papers). Dong Ming is often cited by papers focused on EEG and Brain-Computer Interfaces (308 papers), Neuroscience and Neural Engineering (133 papers) and Neural dynamics and brain function (115 papers). Dong Ming collaborates with scholars based in China, United States and Switzerland. Dong Ming's co-authors include Minpeng Xu, Hongzhi Qi, Baikun Wan, Tzyy‐Ping Jung, Feng He, Yufeng Ke, Yijun Wang, Xiaodong Zhang, Xingwei An and Shuang Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Dong Ming

514 papers receiving 6.8k citations

Hit Papers

align trajectories

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.

A memristor-based adaptive neuromorphic decoder for brain–computer interfaces

2025 27 citations Minpeng Xu, Kun Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong Ming China	39	4.1k	1.7k	1.4k	1.0k	651	574	6.9k
Sydney S. Cash United States	64	10.5k 2.6×	5.8k 3.4×	1.5k 1.1×	1.4k 1.3×	334 0.5×	306	14.4k
Haihong Zhang Singapore	27	4.5k 1.1×	2.1k 1.2×	826 0.6×	1.0k 1.0×	1.3k 2.0×	121	5.9k
Xu Zhang China	43	2.2k 0.5×	783 0.5×	3.4k 2.4×	1.3k 1.2×	1.1k 1.8×	328	7.1k
Brian Litt United States	59	7.5k 1.8×	4.5k 2.7×	2.0k 1.4×	1.3k 1.2×	75 0.1×	208	13.2k
Bo Hong China	33	4.7k 1.1×	2.5k 1.5×	327 0.2×	1.3k 1.3×	780 1.2×	148	5.8k
Feng Wan Macao	36	2.3k 0.6×	730 0.4×	691 0.5×	563 0.5×	368 0.6×	247	4.6k
Raymond Kai‐Yu Tong Hong Kong	44	1.7k 0.4×	664 0.4×	3.4k 2.5×	660 0.6×	276 0.4×	307	7.0k
Daniel P. Ferris United States	71	4.0k 1.0×	720 0.4×	8.9k 6.3×	256 0.2×	308 0.5×	203	14.4k
Gert Cauwenberghs United States	49	4.3k 1.1×	3.5k 2.1×	3.2k 2.3×	6.1k 5.9×	230 0.4×	378	11.7k
Yijun Wang China	47	8.2k 2.0×	4.9k 2.9×	738 0.5×	2.7k 2.7×	1.6k 2.5×	280	10.0k

Countries citing papers authored by Dong Ming

Since Specialization

Citations

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

Fields of papers citing papers by Dong Ming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Ming

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Ming. A scholar is included among the top collaborators of Dong Ming 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 Dong Ming. Dong Ming 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

He, Runnan, et al.. (2025). A Lightweight Detection Method for Atrial Fibrillation Using Clustering Feature Extraction on Wearable Devices. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 1 indexed citations

Zhang, Bo, Shuang Liu, Sitong Chen, et al.. (2025). Disrupted small-world architecture and altered default mode network topology of brain functional network in college students with subclinical depression. BMC Psychiatry. 25(1). 193–193. 1 indexed citations

Huang, Yongzhi, Zhi-Yuan Chen, Junyang Wang, et al.. (2025). Enhanced Spatial Division Multiple Access BCI Performance via Incorporating MEG With EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1202–1211. 2 indexed citations

Zhao, Liancheng, et al.. (2025). Enhancing detection of SSVEPs using discriminant compacted network. Journal of Neural Engineering. 22(1). 16043–16043.

Si, Xiaopeng, et al.. (2024). A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimodal affective BCI. Expert Systems with Applications. 266. 126081–126081. 3 indexed citations

Si, Xiaopeng, Runnan He, Tânia Pereira, et al.. (2024). Multi-task transformer network for subject-independent iEEG seizure detection. Expert Systems with Applications. 268. 126282–126282. 2 indexed citations

Li, Xiaohong, Nan Hu, Jianxin Shi, et al.. (2024). Brain organoid maturation and implantation integration based on electrical signals input. Journal of Advanced Research. 73. 375–395. 10 indexed citations

Si, Xiaopeng, et al.. (2024). Temporal aware Mixed Attention-based Convolution and Transformer Network for cross-subject EEG emotion recognition. Computers in Biology and Medicine. 181. 108973–108973. 11 indexed citations

Liu, Yuan, et al.. (2024). EEG Characteristic Comparison of Motor Imagery Between Supernumerary and Inherent Limb: Sixth-Finger MI Enhances the ERD Pattern and Classification Performance. IEEE Journal of Biomedical and Health Informatics. 28(12). 7078–7089. 4 indexed citations

10.

Ke, Yufeng, et al.. (2023). Evidence for modulation of EEG microstates by mental workload levels and task types. Human Brain Mapping. 45(1). e26552–e26552. 7 indexed citations

11.

An, Xingwei, Zhengcun Pei, Ning Li, et al.. (2023). An Efficient Multi-Task Synergetic Network for Polyp Segmentation and Classification. IEEE Journal of Biomedical and Health Informatics. 28(3). 1228–1239. 10 indexed citations

12.

Li, Yang, Xin Zhang, & Dong Ming. (2023). Early-stage fusion of EEG and fNIRS improves classification of motor imagery. Frontiers in Neuroscience. 16. 1062889–1062889. 33 indexed citations

13.

Meng, Jiayuan, et al.. (2023). Modality-Attention Promotes the Neural Effects of Precise Timing Prediction in Early Sensory Processing. Brain Sciences. 13(4). 610–610. 1 indexed citations

14.

Chen, Sitong, et al.. (2023). Spatiotemporal connectivity maps abnormal communication pathways in major depressive disorder underlying gamma oscillations. Cerebral Cortex. 33(15). 9313–9324. 5 indexed citations

15.

Xu, Minpeng, et al.. (2022). Data Augmentation of SSVEPs Using Source Aliasing Matrix Estimation for Brain–Computer Interfaces. IEEE Transactions on Biomedical Engineering. 70(6). 1775–1785. 28 indexed citations

16.

Zhang, Bo, Shuang Liu, Sitong Chen, et al.. (2022). Common and unique neural activities in subclinical depression and major depressive disorder indicate the development of brain impairments in different depressive stages. Journal of Affective Disorders. 317. 278–286. 22 indexed citations

17.

Jung, Tzyy‐Ping, et al.. (2022). [Research advances in non-invasive brain-computer interface control strategies].. PubMed. 39(5). 1033–1040. 2 indexed citations

18.

Zhang, Bo, Shouliang Qi, Shuang Liu, et al.. (2021). Altered spontaneous neural activity in the precuneus, middle and superior frontal gyri, and hippocampus in college students with subclinical depression. BMC Psychiatry. 21(1). 280–280. 59 indexed citations

19.

An, Xingwei, et al.. (2019). Robustness Analysis of Identification Using Resting-State EEG Signals. IEEE Access. 7. 42113–42122. 32 indexed citations

20.

Ke, Yufeng, et al.. (2015). Training and testing ERP-BCIs under different mental workload conditions. Journal of Neural Engineering. 13(1). 16007–16007. 15 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.

Explore authors with similar magnitude of impact