Jingchong Liu

83 total papers · 3.5k total citations
74 papers, 2.9k citations indexed

About

Jingchong Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jingchong Liu has authored 74 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 16 papers in Biomedical Engineering and 13 papers in Molecular Biology. Recurrent topics in Jingchong Liu's work include Electrospun Nanofibers in Biomedical Applications (12 papers), Surface Modification and Superhydrophobicity (11 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). Jingchong Liu is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (12 papers), Surface Modification and Superhydrophobicity (11 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). Jingchong Liu collaborates with scholars based in China, Taiwan and Australia. Jingchong Liu's co-authors include Nü Wang, Yong Zhao, Lanlan Hou, Lei Jiang, Zhimin Cui, Dianming Li, Fengyun Guo, Shuai Li, Guichu Yue and Yuan Gao and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Jingchong Liu

68 papers receiving 2.8k citations

Hit Papers

Advancing Efficiency in S... 2025 2026 2025 10 20 30

Author Peers

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

Author Last Decade Papers Cites
Jingchong Liu 1.0k 884 763 599 439 74 2.9k
Jinkee Hong 860 0.9× 1.2k 1.4× 665 0.9× 838 1.4× 192 0.4× 69 3.2k
Qingyun Wu 1.2k 1.2× 823 0.9× 560 0.7× 1.8k 3.0× 546 1.2× 131 4.0k
Qi Zhong 805 0.8× 970 1.1× 702 0.9× 1.1k 1.9× 328 0.7× 131 3.2k
Ding Weng 1.3k 1.3× 989 1.1× 966 1.3× 869 1.5× 302 0.7× 76 2.9k
Yu Zhang 1.1k 1.1× 999 1.1× 326 0.4× 904 1.5× 531 1.2× 80 3.7k
Xueqin Wang 613 0.6× 1.1k 1.3× 618 0.8× 509 0.8× 151 0.3× 64 2.4k
Andrew Michelmore 747 0.7× 1.7k 2.0× 679 0.9× 1.5k 2.5× 545 1.2× 78 3.6k
Jincui Gu 549 0.5× 1.1k 1.3× 1.3k 1.7× 821 1.4× 892 2.0× 85 3.7k
Peng Yu 742 0.7× 1.6k 1.8× 294 0.4× 1.1k 1.8× 245 0.6× 110 3.9k
Lanlan Hou 580 0.6× 919 1.0× 999 1.3× 567 0.9× 507 1.2× 49 2.4k

Countries citing papers authored by Jingchong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jingchong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingchong Liu

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