Nai Ding

7.2k total citations · 4 hit papers
84 papers, 4.4k citations indexed

About

Nai Ding is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Nai Ding has authored 84 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 17 papers in Experimental and Cognitive Psychology and 13 papers in Artificial Intelligence. Recurrent topics in Nai Ding's work include Neural dynamics and brain function (36 papers), Neuroscience and Music Perception (31 papers) and Hearing Loss and Rehabilitation (24 papers). Nai Ding is often cited by papers focused on Neural dynamics and brain function (36 papers), Neuroscience and Music Perception (31 papers) and Hearing Loss and Rehabilitation (24 papers). Nai Ding collaborates with scholars based in China, United States and Germany. Nai Ding's co-authors include Jonathan Z. Simon, David Poeppel, Lucía Melloni, Xing Tian, Hang Zhang, Cheng Luo, Monita Chatterjee, Guy M. McKhann, Stephan Bickel and Aniruddh D. Patel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Nai Ding

79 papers receiving 4.3k citations

Hit Papers

Cortical tracking of hierarchical linguistic structures i... 2012 2026 2016 2021 2015 2013 2012 2017 200 400 600
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.

  1. Cortical tracking of hierarchical linguistic structures in connected speech
    2015 622 citations Nai Ding, Lucía Melloni et al. profile →
  2. Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a “Cocktail Party”
    2013 595 citations Nai Ding, David Poeppel et al. profile →
  3. Emergence of neural encoding of auditory objects while listening to competing speakers
    2012 567 citations Nai Ding et al. profile →
  4. Temporal modulations in speech and music
    2017 301 citations Nai Ding, Cheng Luo et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nai Ding China 26 3.9k 1.0k 682 438 259 84 4.4k
Edmund C. Lalor Ireland 33 5.0k 1.3× 997 1.0× 932 1.4× 422 1.0× 247 1.0× 94 5.5k
Janne Sinkkonen Finland 24 2.7k 0.7× 1.2k 1.1× 314 0.5× 328 0.7× 271 1.0× 53 3.6k
Burkhard Maeß Germany 33 4.2k 1.1× 988 1.0× 353 0.5× 759 1.7× 109 0.4× 84 4.6k
Anne-Lise Giraud United States 17 2.7k 0.7× 816 0.8× 203 0.3× 485 1.1× 117 0.5× 21 3.1k
Teemu Rinne Finland 34 6.1k 1.6× 2.4k 2.3× 544 0.8× 601 1.4× 40 0.2× 59 6.5k
Elyse Sussman United States 40 4.6k 1.2× 2.0k 2.0× 657 1.0× 423 1.0× 35 0.1× 100 4.9k
Mitchell Steinschneider United States 37 4.2k 1.1× 1.1k 1.1× 316 0.5× 247 0.6× 59 0.2× 85 4.6k
Catherine Liégeois‐Chauvel France 29 3.8k 1.0× 857 0.8× 263 0.4× 317 0.7× 51 0.2× 75 4.2k
Virginie van Wassenhove France 29 3.9k 1.0× 2.5k 2.5× 203 0.3× 459 1.0× 118 0.5× 89 4.7k
Gavin M. Bidelman United States 38 4.5k 1.2× 1.6k 1.6× 506 0.7× 305 0.7× 60 0.2× 160 4.9k

Countries citing papers authored by Nai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Nai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nai Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Nai Ding. A scholar is included among the top collaborators of Nai Ding 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 Nai Ding. Nai Ding 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.
Wang, Yaoyao, Dengchang Wu, Nai Ding, et al.. (2025). Linear phase property of speech envelope tracking response in Heschl’s gyrus and superior temporal gyrus. Cortex. 186. 1–10. 2 indexed citations
2.
Xiang, Ming, et al.. (2025). Active use of latent tree-structured sentence representation in humans and large language models. Nature Human Behaviour. 10(2). 303–316.
3.
Qi, Yu, Nai Ding, Hemmings Wu, et al.. (2025). Human motor cortex encodes complex handwriting through a sequence of stable neural states. Nature Human Behaviour. 9(6). 1260–1271. 1 indexed citations
4.
Ding, Nai. (2025). Sequence chunking through neural encoding of ordinal positions. Trends in Cognitive Sciences. 29(7). 641–654. 2 indexed citations
5.
Fang, Fang, et al.. (2024). Two-dimensional neural geometry underpins hierarchical organization of sequence in human working memory. Nature Human Behaviour. 9(2). 360–375. 2 indexed citations
6.
Ding, Nai, et al.. (2023). Speech recognition in echoic environments and the effect of aging and hearing impairment. Hearing Research. 431. 108725–108725. 6 indexed citations
7.
8.
Wang, Jing, Xiaosha Wang, Yan Chen, et al.. (2023). Neural substrate underlying the learning of a passage with unfamiliar vocabulary and syntax. Cerebral Cortex. 33(18). 10036–10046. 1 indexed citations
9.
10.
Liu, Wei, Ming Xiang, & Nai Ding. (2023). Adjective Scale Probe: Can Language Models Encode Formal Semantics Information?. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13282–13290. 1 indexed citations
11.
Xu, Chuan, Lingling Li, Fangping He, et al.. (2022). Statistical learning in patients in the minimally conscious state. Cerebral Cortex. 33(6). 2507–2516. 10 indexed citations
12.
Li, Fali, Yajing Si, Chunli Chen, et al.. (2022). The different brain areas occupied for integrating information of hierarchical linguistic units: a study based on EEG and TMS. Cerebral Cortex. 33(8). 4740–4751. 5 indexed citations
13.
14.
Luo, Cheng, et al.. (2022). Working memory asymmetrically modulates auditory and linguistic processing of speech. NeuroImage. 264. 119698–119698. 5 indexed citations
15.
16.
Blanco-Elorrieta, Esti, Nai Ding, Liina Pylkkänen, & David Poeppel. (2020). Understanding Requires Tracking: Noise and Knowledge Interact in Bilingual Comprehension. Journal of Cognitive Neuroscience. 32(10). 1975–1983. 16 indexed citations
17.
Ding, Nai, et al.. (2018). Differences in Neurocognitive Mechanisms Underlying the Processing of Center-Embedded and Non–embedded Musical Structures. Frontiers in Human Neuroscience. 12. 425–425. 6 indexed citations
18.
Ding, Nai, et al.. (2017). Attention Is Required for Knowledge-Based Sequential Grouping: Insights from the Integration of Syllables into Words. Journal of Neuroscience. 38(5). 1178–1188. 60 indexed citations
19.
Kong, Ying-Yee, et al.. (2015). Effects of Spectral Degradation on Attentional Modulation of Cortical Auditory Responses to Continuous Speech. Journal of the Association for Research in Otolaryngology. 16(6). 783–796. 41 indexed citations
20.
Ding, Nai & Hongjian He. (2015). Rhythm of Silence. Trends in Cognitive Sciences. 20(2). 82–84. 8 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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