Fundamentals of Computational Psychophysiology
Theory and Methodology
Bibliographic Data
| ID | 22107591 |
|---|---|
| Authors | Bin Hu (0000-0002-1852-9952, Beijing Institute of Technology), Jian Shen (0000-0002-9009-6151, Beijing Institute of Technology), Lixian Zhu (0000-0002-9842-9993, Beijing Institute of Technology), Qun-Xi Dong (0000-0002-0484-3019, Beijing Institute of Technology), Qunxi Dong, Hanshu Cai (0000-0002-8918-0591, Lanzhou University), Kun Qian (0000-0002-0625-1834, Beijing Institute of Technology) |
| Year | 2022 |
| Volume | 9 |
| Issue | 2 |
| Pages | 349-355 |
| Publication date | 2022-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2022.3157522 |
| OpenAlex | W4220701811 |
| Language | EN |
| Citations received | 12 |
| References cited | 11 |
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. In this issue, we are going to present 25 regular articles. After the “scanning the issue,” I would like to share some of my opinions and perspectives on the fundamentals of computational psychophysiology: theory and methodology
Cognitive science · Computational model · Data science · Management science · Psychophysiology · Computer Science · Engineering · Functional Brain Connectivity Studies · Mental Health Research Topics · Neural dynamics and brain function · Neuroscience · Psychology · Artificial Intelligence
Converging Real and Virtual
Physiological Electrosignal Asynchronous Acquisition Technology
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey
Advancements in Affective Disorder Detection
Dynamic Evolution of Prefrontal Neural Activity in Depression
Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition
A Novel Intelligence Evaluation Framework
RAH! RecSys–Assistant–Human
An Emotion Recognition Method Based on Eye Movement and Audiovisual Features in Mooc Learning Environment
Cross-Cultural Emotion Recognition With EEG and Eye Movement Signals Based on Multiple Stacked Broad Learning System
Toward the Open World
Rlca
| Unique citing works | 12 |
|---|---|
| Citations per year | 4 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |