Liang Dong
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- Emotion and Mood Recognition 4
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 4
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 2
- Signal Processing top 10%
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- Remote Sensing and Land Use 5
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- Leaf Properties and Growth Measurement 4
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- Remote Sensing in Agriculture 3
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- Adversarial Robustness in Machine Learning 3
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- Spectroscopy and Chemometric Analyses 3
Liang Dong
20 papers receiving 448 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Experimental and Cognitive Psychology 254
- Cognitive Neuroscience 303
- Human-Computer Interaction 78
- Signal Processing 63
- Cardiology and Cardiovascular Medicine 72
Countries citing papers authored by Liang Dong
This map shows the geographic impact of Liang Dong'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 Liang Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Dong more than expected).
Fields of papers citing papers by Liang Dong
This network shows the impact of papers produced by Liang Dong. 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 Liang Dong. The network helps show where Liang Dong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2020 | 29 | |
| 9 | Emotion Recognition from Multiband EEG Signals Using CapsNetbreakdown → | 2019 | 221 |
| 10 | 2018 | 49 | |
| 11 | Two-stage Vocal Effort Detection Based on Spectral Information Entropy for Robust Speech Recognition. | 2018 | 3 |
| 12 | 2018 | 2 | |
| 13 | [Estimating Winter Wheat Nitrogen Vertical Distribution Based on Bidirectional Canopy Reflected Spectrum]. | 2015 | 3 |
| 14 | 2015 | 8 | |
| 15 | [Research on universality of least squares support vector machine method for estimating leaf area index of winter wheat]. | 2014 | 1 |
| 16 | [Comparative study on remote sensing invertion methods for estimating winter wheat leaf area index]. | 2014 | 5 |
| 17 | Effect of canopy geometry on estimation of leaf area index in winter wheat using multi-angle spectrum. | 2013 | 2 |
| 18 | Volatile-NIRS regression model on the basis of neural network ensemble | 2013 | 0 |
| 19 | A Method for Image Denoising Based on Contourlet Transform | 2007 | 1 |
| 20 | A Method of Height Measure Based on Image | 2004 | 0 |
About Liang Dong
Liang Dong is a scholar working on Human-Computer Interaction, Analytical Chemistry and Experimental and Cognitive Psychology, having authored 23 papers that have together received 459 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (5 papers), Emotion and Mood Recognition (4 papers), EEG and Brain-Computer Interfaces (4 papers), Leaf Properties and Growth Measurement (4 papers), Remote Sensing in Agriculture (3 papers), Adversarial Robustness in Machine Learning (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (254 citations), Cognitive Neuroscience (303 citations) and Human-Computer Interaction (78 citations). Liang Dong has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Chao Hao, Yongli Liu, Baoyun Lu, Huilai Zhi, Guijun Yang, Linsheng Huang, Qingsong Guan, Xiaohui Cui, Wenjiang Huang and Salah Ud Din. Their work appears in journals such as Advanced Engineering Informatics, Computational Intelligence and Neuroscience, Knowledge-Based Systems, Journal of Parallel and Distributed Computing and Foods.
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.