Ming Ye
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Mental Health Research Topics
Papers in
-
- Face and Expression Recognition 3
- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 2
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- Anomaly Detection Techniques and Applications 2
- Target Tracking and Data Fusion in Sensor Networks 2
- Co-authors
- Guangyuan Liu (4 shared papers)Peng Qing (2 shared papers)Jiang Qiu (1 shared paper)Xu Lei (1 shared paper)Weijie Xia (1 shared paper)Jianjiang Zhou (1 shared paper)Yiqun Wu (1 shared paper)Xiaojun Chen (1 shared paper)
- Journals
- Measurement (2 papers)Visual Cognition (1 paper)Communication Research (1 paper)IEEE Sensors Journal (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- ChinaUnited KingdomFinland
In The Last Decade
Ming Ye
33 papers receiving 436 citations
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 127
- Experimental and Cognitive Psychology 58
- Oral Surgery 29
- Aerospace Engineering 79
- Biological Psychiatry 6
Countries citing papers authored by Ming Ye
This map shows the geographic impact of Ming Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ye more than expected).
Fields of papers citing papers by Ming Ye
This network shows the impact of papers produced by Ming Ye. 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 Ye. The network helps show where Ming Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 124 | |
| 2 | 2018 | 99 | |
| 3 | 2008 | 43 | |
| 4 | 2016 | 33 | |
| 5 | 2019 | 26 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2009 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2010 | 3 | |
| 16 | 2021 | 3 | |
| 17 | Based on Power Spectrum and RBF Neural Network to Classify Surface Electromyography | 2005 | 2 |
| 18 | Structure design of a linear ultrasonic motor with a U-shaped vibrator | 2012 | 2 |
| 19 | Approach to Test Method of Rock Strength in Uniaxial Tension | 2001 | 2 |
| 20 | 2023 | 2 |
About Ming Ye
Ming Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Biomedical Engineering and Computer Networks and Communications, having authored 37 papers that have together received 448 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Image Retrieval and Classification Techniques (3 papers), Emotion and Mood Recognition (3 papers), Anomaly Detection Techniques and Applications (2 papers), Soft Robotics and Applications (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advanced Computing and Algorithms (2 papers). The work is most often cited by research in Cognitive Neuroscience (127 citations), Experimental and Cognitive Psychology (58 citations), Oral Surgery (29 citations), Aerospace Engineering (79 citations) and Biological Psychiatry (6 citations). Ming Ye has collaborated with scholars based in China, United Kingdom and Finland. Frequent co-authors include Guangyuan Liu, Peng Qing, Jiang Qiu, Xu Lei, Weijie Xia, Jianjiang Zhou, Yiqun Wu, Xiaojun Chen, Yanping Lin and Jun Lai. Their work appears in journals such as Measurement, Visual Cognition, Communication Research, IEEE Sensors Journal and BMC Medical Informatics and Decision Making.
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.