1.Zhang, G., Xu, Y., Wang, X., Li, J., Shi, W., Bi, Y., & Lin, N.* (2023). A social-semantic working-memory account for two canonical language areas. Nature Human Behaviour. https://doi.org/10.1038/s41562-023-01704-8

2.Zhang, G., Hung, J., & Lin, N.* (2023). Coexistence of the social semantic effect and non-semantic effect in the default mode network. Brain Structure and Function, 228(1), 321-339.

3.Wang, S., Zhang, Y., Shi, W., Zhang, G., Zhang, J., Lin, N.*, & Zong, C. (2023). A large dataset of semantic ratings and its computational extension. Scientific Data, 10(1), 106.

4.Yang, X., Lin, N.*, & Wang, L. (2023). Situation updating during discourse comprehension recruits right posterior portion of the multiple‐demand network. Human Brain Mapping.  

5.Zhang, G., Yao, P., Ma, G., Wang, J., Zhou, J.,... Lin, N.*, & Li, X*. (2022).The database of eye-movement measures on words in Chinese reading. Scientific Data, 9(1), 8.

6.Zhang, G. #, Xu, Y. #, Zhang, M., Wang, S., & Lin, N.* (2021). The Brain Network in Support of Social Semantic Accumulation. Social Cognitive and Affective Neuroscience, 16(4), 393–405.

7.Zhang, G., Yuan, B., Hua, H., Lou, Y., Lin, N. *, & Li, X. * (2021). Individual differences in first-pass fixation duration in reading are related to resting-state functional connectivity. Brain and Language, 213, 104893.

8.Lin, N.*, Xu, Y., Yang, H., Zhang, G., Zhang, M., Wang, S., ... & Li, X. (2020). Dissociating the neural correlates of the sociality and plausibility effects in simple conceptual combination. Brain Structure and Function, 225(3), 995–1008.

9.Lin, N.*, Xu, Y., Wang, X., Yang, H., Du, M., Hua, H., & Li, X. (2019). Coin, telephone, and handcuffs: Neural correlates of social knowledge of inanimate objects. Neuropsychologia, 133, 107187.   

10.Lin, N.*, Wang, X., Xu, Y., Hua, H., Zhao, Y., & Li, X. (2018). Fine Subdivisions of the Semantic Network Supporting Social and Sensory-Motor Semantic Processing. Cerebral Cortex, 28(8), 2699–2710.

11.Lin, N.*, Yang, X., Li, J., Wang, S., Hua, H., Ma, Y., & Li, X. (2018). Neural correlates of three cognitive processes involved in theory of mind and discourse comprehension. Cognitive, Affective, & Behavioral Neuroscience, 18(2), 273–283.

12.Yang, X., Zhang, X., Yang, Y., &Lin, N.* (2018). How context features modulate the involvement of the working memory system during discourse comprehension. Neuropsychologia, 111, 36–44.

13.Lin, N., Angele, B., Hua, H., Shen, W., Zhou, J., & Li, X.* (2018). Skipping of Chinese characters does not rely on word-based processing. Attention, Perception, & Psychophysics, 80(2), 600–607.

14.Lin, N.*, Yu, X., Zhao, Y., & Zhang, M. (2016). Functional anatomy of recognition of Chinese multi-character words: Convergent evidence from effects of transposable nonwords, lexicality, and word frequency. PloS one, 11(2), e0149583.

15.Lin, N.*, Wang, X., Zhao, Y., Liu, Y., Li, X., & Bi, Y. (2015). Premotor Cortex Activation Elicited during Word Comprehension Relies on Access of Specific Action Concepts. Journal of Cognitive Neuroscience, 27(10), 2051-2062.

16.Lin, N.*, Bi, Y., Zhao, Y., Luo, C., & Li, X. (2015). The theory-of-mind network in support of action verb comprehension: Evidence from an fMRI study. Brain and language, 141, 1-10.

17.Lin, N., Guo, Q., Han, Z., & Bi, Y.* (2011). Motor knowledge is one dimension for concept organization: Further evidence from a Chinese semantic dementia case. Brain and Language, 119, 110-118.

18.Lin, N., Lu, X., Fang, F., Han, Z., & Bi, Y*. (2011). Is the semantic category effect in the lateral temporal cortex due to motion property differences? NeuroImage, 55, 1853-1864.