Ji Dai

2.2k total citations
29 papers, 312 citations indexed

About

Ji Dai is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Ji Dai has authored 29 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 5 papers in Biomedical Engineering. Recurrent topics in Ji Dai's work include Neural dynamics and brain function (9 papers), Photoreceptor and optogenetics research (7 papers) and Neuroscience and Neural Engineering (7 papers). Ji Dai is often cited by papers focused on Neural dynamics and brain function (9 papers), Photoreceptor and optogenetics research (7 papers) and Neuroscience and Neural Engineering (7 papers). Ji Dai collaborates with scholars based in China, United States and Australia. Ji Dai's co-authors include Daniel I. Brooks, David L. Sheinberg, Yi Wang, Zhiting Zhang, Hong Yuan, Yefei Chen, Zhonghua Lu, Yi Zhu, Edward M. Callaway and Guoping Feng and has published in prestigious journals such as Nature, Current Biology and Cerebral Cortex.

In The Last Decade

Ji Dai

24 papers receiving 305 citations

Peers

Ji Dai
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 174
  • Cognitive Neuroscience 151
  • Molecular Biology 51
  • Neurology 38
  • Biomedical Engineering 37
Annelies Gerits Belgium
Morgane Le Bon-Jégo France
Adam S. Dickey United States
Leslie D. Claar United States
Karin Morandell Switzerland
Morgana Favero Italy
Mark A. G. Eldridge United States
Honami Sakata Japan
Ana González-Rueda United Kingdom
Hisayuki Osanai United States
Annelies Gerits Belgium View profile →
Citations per field, relative to Ji Dai
Ji Dai · 1×
Citations per year, relative to Ji Dai
Ji Dai · 1×

Countries citing papers authored by Ji Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ji Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Dai. A scholar is included among the top collaborators of Ji Dai 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 Ji Dai. Ji Dai 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
# Title Journal Authors Indexed citations
1 Evaluating Pupillometry as a Tool for Assessing Facial and Emotional Processing in Nonhuman Primates Applied Sciences Xinhe Liu, Zhiting Zhang et al. 0
2 What Task Feature Determines the Dominant Task in Dual-Task Conditions? eNeuro Lu Gan, Zhiting Zhang et al. 0
3 Innovative medicine and health management: A special session of The Innovation Conference 2024 Tiantian Li, Tao Huang et al. 0
4 circFKBP8(5S,6)-encoded protein as a novel endogenous regulator in major depressive disorder by inhibiting glucocorticoid receptor nucleus translocation Science Bulletin Jiao Jiao, Dandan Xu et al. 9
5 The Current State and Future Outlook of PET Tracers for AMPA Receptors Neuroscience Bulletin Ling Li, Ji Dai et al. 0
6 Vitamin D-binding protein in plasma microglia-derived extracellular vesicles as a potential biomarker for major depressive disorder Genes & Diseases Ling Li, Yan Kong et al. 15
7 The Innovation Medicine: An international journal of medical science Ji Dai, Jie Qiao et al. 1
8 Neural Integration of Audiovisual Sensory Inputs in Macaque Amygdala and Adjacent Regions Neuroscience Bulletin Yuan Liu, Bo Zhang et al. 9
9 A Novel Retrograde AAV Variant for Functional Manipulation of Cortical Projection Neurons in Mice and Monkeys Neuroscience Bulletin Yefei Chen, Jingyi Wang et al. 5
10 Challenges for translating implantable brain-computer interface to medical device Xiaojian Li, Ji Dai et al. 4
11 Probing the processing of facial expressions in monkeys via time perception and eye tracking 动物学研究 Xinhe Liu, Lu Gan et al. 5
12 Targeting thalamic circuits rescues motor and mood deficits in PD mice Nature Dheeraj S. Roy, Yi Zhu et al. 59
13 The Mechanism for Allocating Limited Working Memory Resources in Multitasking Neuroscience Bulletin Lu Gan, Jinglong Wu et al. 3
14 Mapping the emergence of visual consciousness in the human brain via brain-wide intracranial electrophysiology The Innovation Zhiting Zhang, Yuyin Wang et al. 5
15 Primate preoptic neurons drive hypothermia and cold defense The Innovation Zhiting Zhang, Yuyin Wang et al. 13
16 Distinct Recovery Process of Consciousness and Cognition After Anesthesia Neuroscience Bulletin Jiani Chen, Ji Dai et al. 1
17 Gaining a better understanding of nonhuman primate research Science Bulletin Ji Dai 1
18 Naturally Occurring Parkinson’s Disease Raises the Need for Nonhuman Primates in Neurodegenerative Diseases Research Neuroscience Bulletin Ji Dai et al. 1
19 NeoAnalysis: a Python-based toolbox for quick electrophysiological data processing and analysis BioMedical Engineering OnLine Bo Zhang, Ji Dai et al. 4
20 Optogenetic and Electrical Microstimulation Systematically Bias Visuospatial Choice in Primates Current Biology Ji Dai, Daniel I. Brooks et al. 76

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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