Runpeng Liu

19 total papers · 1.3k total citations
12 papers, 492 citations indexed

About

Runpeng Liu is a scholar working on Cognitive Neuroscience, Clinical Psychology and Biomaterials. According to data from OpenAlex, Runpeng Liu has authored 12 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Clinical Psychology and 3 papers in Biomaterials. Recurrent topics in Runpeng Liu's work include Autism Spectrum Disorder Research (5 papers), Child Development and Digital Technology (3 papers) and Family and Disability Support Research (2 papers). Runpeng Liu is often cited by papers focused on Autism Spectrum Disorder Research (5 papers), Child Development and Digital Technology (3 papers) and Family and Disability Support Research (2 papers). Runpeng Liu collaborates with scholars based in United States, China and South Korea. Runpeng Liu's co-authors include Ned T. Sahin, Arshya Vahabzadeh, Joseph P. Salisbury, Jinshui Yao, Congde Qiao, Qinze Liu, Neha U. Keshav, Jing Xu, Baolin Guo and Yi‐Wu Shi and has published in prestigious journals such as Nature Neuroscience, Carbohydrate Polymers and Soft Matter.

In The Last Decade

Runpeng Liu

11 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Runpeng Liu	242	91	88	83	55	12	492
Joseph P. Salisbury	261 1.1×	152 1.7×	132 1.5×	2 0.0×	12 0.2×	28	551
Elizabeth Baker	152 0.6×	10 0.1×	21 0.2×	7 0.1×	11 0.2×	31	413
Michael Hong	134 0.6×	5 0.1×	25 0.3×	44 0.5×	4 0.1×	19	431
Junxia Han	425 1.8×	20 0.2×	36 0.4×		53 1.0×	18	526
Susana Mouga	348 1.4×	24 0.3×	61 0.7×		48 0.9×	26	419
Nan‐Ying Yu	154 0.6×	32 0.4×	170 1.9×	2 0.0×	49 0.9×	27	486
Matthew Peterson	169 0.7×	2 0.0×	48 0.5×	64 0.8×	11 0.2×	30	437
Lara Mecklinger	252 1.0×	14 0.2×	57 0.6×		23 0.4×	8	464
Sangwoo Bahn	96 0.4×	37 0.4×	18 0.2×		29 0.5×	36	410
Matthew Bryan	440 1.8×	9 0.1×	64 0.7×		118 2.1×	9	506

Countries citing papers authored by Runpeng Liu

Since Specialization

Citations

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

Fields of papers citing papers by Runpeng Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runpeng Liu

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

All Works

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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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