Xiaolan Fu

8.1k total citations · 2 hit papers
191 papers, 4.9k citations indexed

About

Xiaolan Fu is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Xiaolan Fu has authored 191 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Cognitive Neuroscience, 60 papers in Social Psychology and 55 papers in Experimental and Cognitive Psychology. Recurrent topics in Xiaolan Fu's work include Neural and Behavioral Psychology Studies (37 papers), Face Recognition and Perception (31 papers) and Child and Animal Learning Development (21 papers). Xiaolan Fu is often cited by papers focused on Neural and Behavioral Psychology Studies (37 papers), Face Recognition and Perception (31 papers) and Child and Animal Learning Development (21 papers). Xiaolan Fu collaborates with scholars based in China, United Kingdom and United States. Xiaolan Fu's co-authors include Wen‐Jing Yan, Sujing Wang, Yong‐Jin Liu, Guoying Zhao, Xiaobai Li, Qi Wu, Yu‐Hsin Chen, Yu‐Hsin Chen, Qiufang Fu and Zoltán Dienes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Xiaolan Fu

174 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation

2014 609 citations Sujing Wang, Xiaolan Fu et al. profile →
A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition

2015 348 citations Sujing Wang, Xiaolan Fu et al. IEEE Transactions on Affective Computing profile →

Peers

Countries citing papers authored by Xiaolan Fu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolan Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolan Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Could Micro-Expressions Be Quantified? Electromyography Gives Affirmative Evidence 2025 ·IEEE Transactions on Affective Computing ·Jingting Li, (unknown), (unknown), (unknown), Sujing Wang, Xiaolan Fu	0
2	Parallel Spatiotemporal Network to recognize micro-expression 2025 ·Neurocomputing ·Jingting Li, Sujing Wang, Yong Wang, (unknown), Xiaolan Fu	0
3	Common intentional binding effects across diverse sensory modalities in touch-free voluntary actions 2024 ·Consciousness and Cognition ·Jia‐Jia Liu, Lihan Chen, (unknown), (unknown), Ke Zhao, (unknown), (unknown), Jan Gläscher, Xiaolan Fu	0
4	The impact of facial attractiveness on economic decision-making 2024 ·Chinese Science Bulletin (Chinese Version) ·(unknown), (unknown), Wenfeng Chen, Xiaolan Fu	1
5	Seeing Through the Mask: Recognition of Genuine Emotion Through Masked Facial Expression 2024 ·IEEE Transactions on Computational Social Systems ·(unknown), Xinyu Liu, (unknown), (unknown), Tong Chen, Xiaolan Fu, Guangyuan Liu	5
6	Human emotion and StO2: Dataset, pattern, and recognition of basic emotions 2024 ·Pattern Recognition ·Xinyu Liu, Tong Chen, (unknown), (unknown), Guangyuan Liu, Xiaolan Fu	0
7	Decoding the temporal representation of facial expression in face-selective regions 2023 ·NeuroImage ·Zhihao Zhang, Tong Chen, (unknown), Chongyang Wang, Ke Zhao, Chang Hong Liu, Xiaolan Fu	5
8	Psychological model of representation, generation, and adjustion of belief for artificial general intelligence 2021 ·Human Behavior and Emerging Technologies ·(unknown), Xiaolan Fu	1
9	Urgently Needed Construction of Public Psychological Service System in Emergency Management 2020 ·Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) ·Xuefeng Chen, Xiaolan Fu	1
10	Concealed emotion analysis and recognition method 2020 ·Advances in Psychological Science ·Sujing Wang, Bochao Zou, Rui Liu, Zhen Li, Guozhen Zhao, Ye Liu, Xiaolan Fu	1
11	The Mode of Action and Cognitive Neural Mechanisms in Emotional Modulation of Interval Timing 2018 ·Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) ·Qian Cui, (unknown), Xiaolan Fu	2
12	Cognitive and Neural Mechanisms of Sensory-motor System' s Role in Metaphor Comprehension 2018 ·Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) ·(unknown), Ye Liu, Xiaolan Fu	1
13	Emotional expression and micro-expression recognition in depressive patients 2018 ·Chinese Science Bulletin (Chinese Version) ·Lin Ma, Wenfeng Chen, Xiaolan Fu, Tongtong Wang	8
14	Are Nouns Learned Before Verbs? Infants Provide Insight Into a Long-Standing Debate 2013 ·Child Development Perspectives ·Sandra R. Waxman, Xiaolan Fu, Sudha Arunachalam, (unknown), (unknown), (unknown)	69
15	Benefits and costs of uniqueness in multiple object tracking: The role of object complexity 2012 ·Vision Research ·Tianwei Liu, Wenfeng Chen, Chang Hong Liu, Xiaolan Fu	22
16	Scene Consistency Effect and Its Mechanisms 2011 ·Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) ·(unknown), (unknown), Xiaolan Fu	2
17	Can we know what we can control in sequence learning? 2008 ·Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) ·(unknown), Zoltán Dienes, Xiaolan Fu	1
18	Working memory capacity and culture-based expertise 2008 ·Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) ·Hubert D. Zimmer, Xiaolan Fu	6
19	An Entity-Relationship Model based Conceptual Framework for Model Driven Development. 2006 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yucong Duan, Xiaolan Fu, Shing-Chi Cheung, Yueqing Gu	3
20	MENTAL PROCESS AND BRAIN MECHANISM OF INSIGHT: COMMENTS ON LUO’S NEURAL CORRELATES OF INSIGHT 2004 ·Acta Psychologica Sinica ·Xiaolan Fu	3

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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