Ping Li

17.3k total citations · 3 hit papers
392 papers, 10.4k citations indexed

About

Ping Li is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Ping Li has authored 392 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Cognitive Neuroscience, 112 papers in Developmental and Educational Psychology and 85 papers in Experimental and Cognitive Psychology. Recurrent topics in Ping Li's work include Neurobiology of Language and Bilingualism (88 papers), Reading and Literacy Development (61 papers) and Language Development and Disorders (50 papers). Ping Li is often cited by papers focused on Neurobiology of Language and Bilingualism (88 papers), Reading and Literacy Development (61 papers) and Language Development and Disorders (50 papers). Ping Li collaborates with scholars based in China, United States and Hong Kong. Ping Li's co-authors include Xiaowei Zhao, Arturo E. Hernández, Hua Shu, Jinde Cao, Jennifer Legault, Joseph Aoun, Brian MacWhinney, Jing Yang, Youyi Liu and Kaitlyn A. Litcofsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and SHILAP Revista de lepidopterología.

In The Last Decade

Ping Li

360 papers receiving 9.7k citations

Hit Papers

Neuroplasticity as a function of second language learning... 2014 2026 2018 2022 2014 2020 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Li China 53 4.4k 4.0k 2.2k 2.0k 1.7k 392 10.4k
Nick Chater United Kingdom 67 5.4k 1.2× 4.4k 1.1× 2.7k 1.2× 947 0.5× 4.7k 2.9× 321 16.4k
Reinhold Kliegl Germany 67 11.0k 2.5× 6.5k 1.6× 4.2k 1.9× 617 0.3× 2.1k 1.3× 259 16.9k
Simon Garrod United Kingdom 39 3.8k 0.9× 2.8k 0.7× 3.8k 1.7× 2.3k 1.2× 2.6k 1.6× 87 9.4k
Rick Dale United States 39 2.6k 0.6× 1.7k 0.4× 2.0k 0.9× 707 0.4× 1.1k 0.7× 153 6.8k
P. N. Johnson‐Laird United States 62 4.3k 1.0× 6.1k 1.5× 5.6k 2.5× 1.5k 0.8× 6.8k 4.1× 272 21.4k
Gail McKoon United States 61 8.7k 2.0× 4.2k 1.0× 3.3k 1.5× 772 0.4× 1.9k 1.1× 146 12.4k
Michael C. Frank United States 44 2.2k 0.5× 3.7k 0.9× 1.9k 0.8× 811 0.4× 1.6k 1.0× 243 7.8k
Noah D. Goodman United States 46 1.8k 0.4× 2.6k 0.7× 1.1k 0.5× 760 0.4× 3.4k 2.1× 203 8.2k
Frank Keller United Kingdom 36 1.9k 0.4× 1.4k 0.4× 1.1k 0.5× 1.1k 0.5× 3.0k 1.8× 148 6.1k
W. Nelson Francis United States 19 5.0k 1.1× 3.9k 1.0× 2.5k 1.1× 1.8k 0.9× 2.2k 1.3× 56 9.9k

Countries citing papers authored by Ping Li

Since Specialization
Citations

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

Fields of papers citing papers by Ping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Li. A scholar is included among the top collaborators of Ping Li 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 Ping Li. Ping Li 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, Ping, et al.. (2025). High-Resolution Mapping of Cropland Soil Organic Carbon in Northern China. Agronomy. 15(2). 359–359.
3.
Nastase, Samuel A., et al.. (2025). Large language models without grounding recover non-sensorimotor but not sensorimotor features of human concepts. Nature Human Behaviour. 9(9). 1871–1886. 4 indexed citations
4.
Li, Chen, et al.. (2024). Collaborative Learning in the Edu-Metaverse Era: An Empirical Study on the Enabling Technologies. IEEE Transactions on Learning Technologies. 17. 1107–1119. 24 indexed citations
5.
Huang, Kexin, et al.. (2024). Predicting the next sentence (not word) in large language models: What model-brain alignment tells us about discourse comprehension. Science Advances. 10(21). eadn7744–eadn7744. 10 indexed citations
6.
Li, Ping, et al.. (2023). Teaching Quality of Ideological and Political Education in Colleges Based on Deep Learning. International Journal of e-Collaboration. 19(4). 1–15. 7 indexed citations
7.
Li, Ping, Shuang Zhou, Zheng Liu, et al.. (2023). Association of Peer Network with Childhood Obesity in DECIDE-Children Program. Nutrients. 15(19). 4154–4154. 1 indexed citations
8.
Huang, Yangjie, Mengting Zhang, Jing Wang, Ping Li, & Kexin Li. (2022). Psychological cognition and women's entrepreneurship: A country-based comparison using fsQCA. Journal of Innovation & Knowledge. 7(3). 100223–100223. 24 indexed citations
9.
Li, Ping, et al.. (2022). Computational Modeling of Bilingual Language Learning: Current Models and Future Directions. Language Learning. 73(S2). 17–64. 11 indexed citations
10.
Huang, Yangjie, Ping Li, Jing Wang, & Kexin Li. (2022). Innovativeness and entrepreneurial performance of female entrepreneurs. Journal of Innovation & Knowledge. 7(4). 100257–100257. 51 indexed citations
11.
Follmer, D. Jake, Ping Li, & Roy B. Clariana. (2021). Predicting Expository Text Processing: Causal Content Density as a Critical Expository Text Metric. Reading Psychology. 42(6). 625–662. 3 indexed citations
12.
Li, Ping & Yu‐Ju Lan. (2021). Understanding the Interaction between Technology and the Learner: The Case of DLL. Bilingualism Language and Cognition. 25(3). 402–405. 4 indexed citations
13.
Wang, Anyi, et al.. (2021). Q-learning algorithm based mine adaptive OFDM modulation. SHILAP Revista de lepidopterología.
14.
Hu, Jinlong, et al.. (2020). Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder. Computational and Mathematical Methods in Medicine. 2020. 1–12. 22 indexed citations
15.
Fei, Hongliang, Li Xu, Dingcheng Li, & Ping Li. (2019). End-to-end Deep Reinforcement Learning Based Coreference Resolution. 660–665. 24 indexed citations
16.
Li, Ping, et al.. (2017). Sluicing, Sprouting and Missing Objects. SHILAP Revista de lepidopterología. 38(2). 63–92. 2 indexed citations
17.
Li, Ping, et al.. (2010). Epidemic Spreading in Weighted Scale-Free Networks. Shuxue de shijian yu renshi. 1 indexed citations
18.
Zhao, Xiaowei & Ping Li. (2007). Bilingual Lexical Representation in a Self-Organizing Neural Network Model. Conference Cognitive Science. 29(29). 285–91. 14 indexed citations
19.
Li, Ping & Yasuhiro Shirai. (2000). The Acquisition of Lexical and Grammatical Aspect. 179 indexed citations
20.
Aoun, Joseph & Ping Li. (2000). Scope, structure, and expert systems: A reply to Kuno et al.. Language. 76(1). 133–155. 1 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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