Zhong Yin

3.1k total citations · 2 hit papers
79 papers, 2.2k citations indexed

About

Zhong Yin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Zhong Yin has authored 79 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cognitive Neuroscience, 30 papers in Experimental and Cognitive Psychology and 18 papers in Social Psychology. Recurrent topics in Zhong Yin's work include EEG and Brain-Computer Interfaces (52 papers), Emotion and Mood Recognition (21 papers) and Human-Automation Interaction and Safety (17 papers). Zhong Yin is often cited by papers focused on EEG and Brain-Computer Interfaces (52 papers), Emotion and Mood Recognition (21 papers) and Human-Automation Interaction and Safety (17 papers). Zhong Yin collaborates with scholars based in China, Norway and Chile. Zhong Yin's co-authors include Jianhua Zhang, Yongxiong Wang, Stefano Nichele, Peng Chen, Mengyuan Zhao, Jingdong Yang, Rubin Wang, Chuanfei Hu, Yu Song and Zhe Wang and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Sustainability.

In The Last Decade

Zhong Yin

72 papers receiving 2.1k citations

Hit Papers

Emotion recognition using multi-modal data and machine le... 2020 2026 2022 2024 2020 2022 100 200 300 400 500
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.

  1. Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
    2020 507 citations Jianhua Zhang, Zhong Yin et al. profile →
  2. Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model
    2022 132 citations Zhe Wang, Yongxiong Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhong Yin China 20 1.3k 1.1k 341 338 331 79 2.2k
Jianhua Zhang China 22 1.2k 0.9× 884 0.8× 207 0.6× 414 1.2× 368 1.1× 89 2.2k
Olga Sourina Singapore 28 2.0k 1.6× 1.2k 1.1× 202 0.6× 283 0.8× 353 1.1× 110 2.9k
Jeroen Lichtenauer Netherlands 8 740 0.6× 820 0.8× 301 0.9× 173 0.5× 171 0.5× 17 1.4k
Wanzeng Kong China 30 1.8k 1.4× 1.1k 1.0× 394 1.2× 454 1.3× 251 0.8× 191 3.0k
Muhammad Majid Pakistan 27 856 0.7× 567 0.5× 472 1.4× 294 0.9× 168 0.5× 109 2.5k
Amirmehdi Yazdani Australia 22 2.5k 1.9× 2.4k 2.3× 782 2.3× 438 1.3× 397 1.2× 73 4.5k
Chun‐Hsiang Chuang Taiwan 26 1.2k 0.9× 616 0.6× 76 0.2× 174 0.5× 234 0.7× 69 1.8k
Yongxiong Wang China 19 652 0.5× 528 0.5× 476 1.4× 297 0.9× 85 0.3× 85 1.7k
Hongtao Wang China 25 1.2k 0.9× 574 0.5× 75 0.2× 135 0.4× 132 0.4× 71 1.9k
Ali Etemad Canada 17 523 0.4× 379 0.4× 354 1.0× 205 0.6× 85 0.3× 86 1.3k

Countries citing papers authored by Zhong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Zhong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Yin

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

All Works

20 of 20 papers shown
1.
Zhang, Jianhua, et al.. (2025). Multimodal emotion recognition by fusing complementary patterns from central to peripheral neurophysiological signals across feature domains. Engineering Applications of Artificial Intelligence. 143. 110004–110004. 3 indexed citations
2.
Chen, Li, Zhong Yin, Xuelin Gu, et al.. (2025). Neurophysiological data augmentation for EEG-fNIRS multimodal features based on a denoising diffusion probabilistic model. Computer Methods and Programs in Biomedicine. 261. 108594–108594.
3.
Zhang, Jianhua, et al.. (2025). Enhancing generic cognitive workload recognition with a dynamic hierarchical 3-D attention network and EEG features. Expert Systems with Applications. 280. 127563–127563. 1 indexed citations
4.
Zhao, Mengyuan, et al.. (2025). EEG-Based Decoding of Neural Mechanisms Underlying Impersonal Pronoun Resolution. Algorithms. 18(12). 778–778.
5.
Yin, Zhong, et al.. (2024). Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 6 indexed citations
6.
Wang, Qi, et al.. (2023). Cross-task cognitive workload recognition using a dynamic residual network with attention mechanism based on neurophysiological signals. Computer Methods and Programs in Biomedicine. 230. 107352–107352. 10 indexed citations
7.
Zhang, Jianhua, Zhong Yin, & Peng Chen. (2023). EEG-based Affect Classification with Machine Learning Algorithms. IFAC-PapersOnLine. 56(2). 11627–11632.
8.
Wang, Zhe, Yongxiong Wang, Jiapeng Zhang, et al.. (2022). Spatial-Temporal Feature Fusion Neural Network for EEG-Based Emotion Recognition. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 55 indexed citations
9.
Yin, Zhong, et al.. (2022). Identification of human mental workload levels in a language comprehension task with imbalance neurophysiological data. Computer Methods and Programs in Biomedicine. 224. 107011–107011. 1 indexed citations
10.
Zhang, Wei & Zhong Yin. (2020). EEG Feature Selection for Emotion Recognition Based on Cross-subject Recursive Feature Elimination. 6256–6261. 7 indexed citations
11.
Yin, Zhong, et al.. (2020). Locally Robust Feature Selection of EEG Signals for the Inter-subject Emotion Recognition. 6250–6255. 2 indexed citations
12.
Yin, Zhong, Mengyuan Zhao, Wei Zhang, et al.. (2019). Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework. Neurocomputing. 347. 212–229. 35 indexed citations
13.
Wang, Yongxiong, et al.. (2018). [Human action and road condition recognition based on the inertial information].. PubMed. 35(4). 621–630. 2 indexed citations
14.
Yin, Zhong. (2014). Researches on Complex Three-Dimensional Point Cloud Model Automatic Registration Technology. World Sci-tech R & D.
15.
Yin, Zhong. (2014). Automatic Registration Technology of Point Cloud Based on Improved ICP Algorithm. Control Engineering of China. 4 indexed citations
16.
Zhang, Jianhua, et al.. (2013). Instantaneous mental workload level recognition by combining kernel fisher discriminant analysis and Kernel Principal Component Analysis. Chinese Control Conference. 3607–3612. 3 indexed citations
17.
Yin, Zhong, et al.. (2012). Recursive feature elimination and least square support vector machine approaches to operator functional state feature selection and classification. Chinese Control Conference. 3662–3667. 1 indexed citations
18.
Yin, Zhong & Jianhua Zhang. (2011). Support vector machine approaches to classifying operator functional state in human-machine system. Chinese Control Conference. 2986–2991. 2 indexed citations
19.
Yin, Zhong. (2010). Developed cepstrum method for data extraction based on echo hiding. Electronic Design Engineering. 1 indexed citations
20.
Boubekri, Mohamed, Zhong Yin, & R. W. Guy. (1997). A Neural Network Solution to an Architectual Design Problem: Design of a light Shelf. Architectural Science Review. 40(1). 17–21. 4 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

Breakdown of academic impact, for papers by Jianhua Zhang Breakdown of academic impact, for papers by Olga Sourina Breakdown of academic impact, for papers by Jeroen Lichtenauer Breakdown of academic impact, for papers by Wanzeng Kong Breakdown of academic impact, for papers by Muhammad Majid Breakdown of academic impact, for papers by Amirmehdi Yazdani Breakdown of academic impact, for papers by Chun‐Hsiang Chuang Breakdown of academic impact, for papers by Yongxiong Wang Breakdown of academic impact, for papers by Hongtao Wang Breakdown of academic impact, for papers by Ali Etemad
Rankless by CCL
2026