Ming Jin

586 total citations · 2 hit papers
12 papers, 381 citations indexed

About

Ming Jin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming Jin has authored 12 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming Jin's work include Emotion and Mood Recognition (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Gaze Tracking and Assistive Technology (3 papers). Ming Jin is often cited by papers focused on Emotion and Mood Recognition (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Gaze Tracking and Assistive Technology (3 papers). Ming Jin collaborates with scholars based in China and United States. Ming Jin's co-authors include Jinpeng Li, Zhunan Li, Huiguang He, Cunhang Fan, Hao Chen, Ting Cai, Changde Du, Suprateek Kundu, Hao Chen and Jia Wei Zheng and has published in prestigious journals such as NeuroImage, IEEE Transactions on Geoscience and Remote Sensing and Frontiers in Neuroscience.

In The Last Decade

Ming Jin

10 papers receiving 379 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.

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition

2021 141 citations Hao Chen, Ming Jin et al. Frontiers in Neuroscience profile →
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

2024 42 citations Ming Jin, Changde Du et al. IEEE Transactions on Multimedia profile →

Peers

Ming Jin

CN

ECP

AI

CVPR

HI

Zhipeng He China

Ruoyu Du China

Wonjun Ko South Korea

Boxun Fu China

Yuzhe Zhang China

Jielin Qiu United States

Hubert Banville Canada

Qiuhao Zeng Singapore

Xiaoye Huang China

Zhipeng He China

Ming Jin

299 ×1.1

CN

190 ×0.8

ECP

59 ×0.9

AI

41 ×0.7

CVPR

60 ×1.1

HI

Citations per year, relative to Ming Jin Ming Jin (= 1×) peers Zhipeng He

Countries citing papers authored by Ming Jin

Since Specialization

Citations

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

Fields of papers citing papers by Ming Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Jin

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

12 of 12 papers shown

1.

Jin, Ming, et al.. (2025). Semantic-TemporalNet: A Novel Urban Block Change Detection Method Based on Semantic Coherence Analysis. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.

2.

Zhang, Kun, et al.. (2025). Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model. Journal Of Big Data. 12(1).

3.

Jin, Ming, Changde Du, Huiguang He, Ting Cai, & Jinpeng Li. (2024). PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition. IEEE Transactions on Multimedia. 26. 9070–9082. 42 indexed citations breakdown →

4.

Jin, Ming & Jinpeng Li. (2023). Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition. 5985–5993. 7 indexed citations

5.

Li, Zhunan, Ming Jin, Cunhang Fan, et al.. (2022). Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition. IEEE Journal of Biomedical and Health Informatics. 26(12). 5964–5973. 95 indexed citations

6.

Kundu, Suprateek, Ming Jin, & Jennifer S. Stevens. (2021). Developing Multimodal Dynamic Functional Connectivity as a Neuroimaging Biomarker. Brain Connectivity. 11(7). 529–542. 10 indexed citations

7.

Chen, Hao, Ming Jin, Zhunan Li, et al.. (2021). MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition. Frontiers in Neuroscience. 15. 778488–778488. 141 indexed citations breakdown →

8.

Chen, Hao, Zhunan Li, Ming Jin, & Jinpeng Li. (2021). MEERNet: Multi-source EEG-based Emotion Recognition Network for Generalization Across Subjects and Sessions. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6094–6097. 22 indexed citations

9.

Jin, Ming, Hao Chen, Zhunan Li, & Jinpeng Li. (2021). EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 5953–5957. 15 indexed citations

10.

Zheng, Jia Wei, et al.. (2020). Cardiac magnetic resonance image segmentation based on convolutional neural network. Computer Methods and Programs in Biomedicine. 197. 105755–105755. 20 indexed citations

11.

Yan, Jinhua, et al.. (2020). Recognition of Suspension Liquid Based on Speckle Patterns Using Deep Learning. IEEE photonics journal. 13(1). 1–7. 12 indexed citations

12.

Kundu, Suprateek, Ming Jin, Jordan E. Pierce, Jennifer E. McDowell, & Ying Guo. (2018). Estimating dynamic brain functional networks using multi-subject fMRI data. NeuroImage. 183. 635–649. 17 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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