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

CASME II: An Improved Spo... 2014 2026 2018 2022 2014 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaolan Fu 2.2k 2.1k 1.3k 795 667 191 4.9k
Peter Robinson 1.5k 0.7× 1.2k 0.6× 1.1k 0.8× 828 1.0× 1.0k 1.5× 143 4.6k
Tom Gedeon 2.1k 1.0× 2.2k 1.0× 684 0.5× 1.4k 1.7× 443 0.7× 214 5.0k
Javier R. Movellan 4.1k 1.9× 2.6k 1.2× 1.5k 1.1× 1.9k 2.4× 1.4k 2.1× 127 8.4k
Hatice Güneş 1.6k 0.7× 2.0k 0.9× 744 0.6× 790 1.0× 1.0k 1.5× 173 3.8k
Andrew T. Duchowski 1.9k 0.9× 822 0.4× 1.9k 1.5× 308 0.4× 953 1.4× 200 6.7k
Léon Rothkrantz 2.0k 0.9× 1.8k 0.9× 523 0.4× 824 1.0× 443 0.7× 160 4.2k
Ian Fasel 1.9k 0.9× 1.7k 0.8× 505 0.4× 453 0.6× 498 0.7× 42 3.0k
Kenneth Holmqvist 1.3k 0.6× 1.5k 0.7× 2.1k 1.7× 440 0.6× 895 1.3× 136 6.8k
Gheorghiță Ghinea 1.6k 0.7× 600 0.3× 431 0.3× 446 0.6× 419 0.6× 349 5.0k
Mark G. Frank 1.0k 0.5× 1.7k 0.8× 1.3k 1.0× 542 0.7× 2.0k 3.0× 60 4.3k

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

20 of 20 papers shown
1.
Li, Jingting, et al.. (2025). Could Micro-Expressions Be Quantified? Electromyography Gives Affirmative Evidence. IEEE Transactions on Affective Computing. 16(4). 2959–2974.
2.
Li, Jingting, et al.. (2025). Parallel Spatiotemporal Network to recognize micro-expression. Neurocomputing. 636. 129891–129891.
3.
Chen, Wenfeng, et al.. (2024). The impact of facial attractiveness on economic decision-making. Chinese Science Bulletin (Chinese Version). 1 indexed citations
4.
Liu, Jia‐Jia, et al.. (2024). Common intentional binding effects across diverse sensory modalities in touch-free voluntary actions. Consciousness and Cognition. 123. 103727–103727.
5.
Liu, Xinyu, et al.. (2024). Seeing Through the Mask: Recognition of Genuine Emotion Through Masked Facial Expression. IEEE Transactions on Computational Social Systems. 11(6). 7159–7172. 5 indexed citations
6.
Liu, Xinyu, et al.. (2024). Human emotion and StO2: Dataset, pattern, and recognition of basic emotions. Pattern Recognition. 161. 111249–111249.
7.
Zhao, Ke, et al.. (2024). The neural network of sensory attenuation: A neuroimaging meta-analysis. Psychonomic Bulletin & Review. 32(1). 31–51. 4 indexed citations
8.
Zhang, Zhihao, Tong Chen, Chongyang Wang, et al.. (2023). Decoding the temporal representation of facial expression in face-selective regions. NeuroImage. 283. 120442–120442. 5 indexed citations
9.
Fu, Xiaolan, et al.. (2021). Psychological model of representation, generation, and adjustion of belief for artificial general intelligence. Human Behavior and Emerging Technologies. 3(5). 865–875. 1 indexed citations
10.
Chen, Xuefeng & Xiaolan Fu. (2020). Urgently Needed Construction of Public Psychological Service System in Emergency Management. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 35(3). 256–263. 1 indexed citations
11.
Wang, Sujing, Bochao Zou, Rui Liu, et al.. (2020). Concealed emotion analysis and recognition method. Advances in Psychological Science. 28(9). 1426–1436. 1 indexed citations
12.
Liu, Ye, et al.. (2018). Cognitive and Neural Mechanisms of Sensory-motor System' s Role in Metaphor Comprehension. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 1 indexed citations
13.
Cui, Qian, et al.. (2018). The Mode of Action and Cognitive Neural Mechanisms in Emotional Modulation of Interval Timing. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 2 indexed citations
14.
Ma, Lin, Wenfeng Chen, Xiaolan Fu, & Tongtong Wang. (2018). Emotional expression and micro-expression recognition in depressive patients. Chinese Science Bulletin (Chinese Version). 63(20). 2048–2056. 8 indexed citations
15.
Waxman, Sandra R., et al.. (2013). Are Nouns Learned Before Verbs? Infants Provide Insight Into a Long-Standing Debate. Child Development Perspectives. 7(3). 155–159. 69 indexed citations
16.
Fu, Xiaolan, et al.. (2011). Scene Consistency Effect and Its Mechanisms. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 2 indexed citations
17.
Zimmer, Hubert D. & Xiaolan Fu. (2008). Working memory capacity and culture-based expertise. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 6 indexed citations
18.
Dienes, Zoltán, et al.. (2008). Can we know what we can control in sequence learning?. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 1 indexed citations
19.
Duan, Yucong, Xiaolan Fu, Shing-Chi Cheung, & Yueqing Gu. (2006). An Entity-Relationship Model based Conceptual Framework for Model Driven Development.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2006. 200–205. 3 indexed citations
20.
Fu, Xiaolan. (2004). MENTAL PROCESS AND BRAIN MECHANISM OF INSIGHT: COMMENTS ON LUO’S NEURAL CORRELATES OF INSIGHT. Acta Psychologica Sinica. 36(2). 234–236. 3 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.

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