Na Liu

200 total papers · 2.2k total citations
127 papers, 1.3k citations indexed

About

Na Liu is a scholar working on Environmental Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Na Liu has authored 127 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 16 papers in Molecular Biology and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Na Liu's work include Adsorption and biosorption for pollutant removal (7 papers), Climate variability and models (7 papers) and Methane Hydrates and Related Phenomena (6 papers). Na Liu is often cited by papers focused on Adsorption and biosorption for pollutant removal (7 papers), Climate variability and models (7 papers) and Methane Hydrates and Related Phenomena (6 papers). Na Liu collaborates with scholars based in China, United States and Japan. Na Liu's co-authors include Weidong Yu, Lin Liu, Baoqiang Xiang, Qingda An, Shangru Zhai, Yu Song, Yun Chen, Xiaowei Song, Martin A. Fernø and Anthony R. Kovscek and has published in prestigious journals such as The EMBO Journal, ACS Nano and Advanced Functional Materials.

In The Last Decade

Na Liu

112 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Na Liu	250	243	224	175	166	127	1.3k
Yingjie Liu	252 1.0×	195 0.8×	199 0.9×	219 1.3×	378 2.3×	80	1.6k
Sheng Zhang	119 0.5×	225 0.9×	220 1.0×	92 0.5×	93 0.6×	92	1.1k
Fan Li	205 0.8×	173 0.7×	246 1.1×	60 0.3×	159 1.0×	148	1.5k
Robin L. Autenrieth	109 0.4×	128 0.5×	188 0.8×	162 0.9×	123 0.7×	84	1.8k
Liwei Zhang	230 0.9×	256 1.1×	254 1.1×	73 0.4×	225 1.4×	77	1.8k
Yihua Xiao	79 0.3×	161 0.7×	230 1.0×	106 0.6×	215 1.3×	98	1.4k
Yongcan Chen	411 1.6×	93 0.4×	335 1.5×	151 0.9×	95 0.6×	98	1.6k
Lei Zhang	212 0.8×	267 1.1×	121 0.5×	143 0.8×	42 0.3×	77	1.3k
Jia Zhang	472 1.9×	96 0.4×	184 0.8×	32 0.2×	84 0.5×	105	1.7k
Litian Zhang	123 0.5×	47 0.2×	228 1.0×	89 0.5×	132 0.8×	75	1.3k

Countries citing papers authored by Na Liu

Since Specialization

Citations

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

Fields of papers citing papers by Na Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Na Liu. A scholar is included among the top collaborators of Na 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 Na Liu. Na 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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