Jiarun Liu

86 total papers · 747 total citations
42 papers, 338 citations indexed

About

Jiarun Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Paleontology. According to data from OpenAlex, Jiarun Liu has authored 42 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Paleontology. Recurrent topics in Jiarun Liu's work include Adaptive Control of Nonlinear Systems (8 papers), Paleontology and Stratigraphy of Fossils (8 papers) and Adaptive Dynamic Programming Control (5 papers). Jiarun Liu is often cited by papers focused on Adaptive Control of Nonlinear Systems (8 papers), Paleontology and Stratigraphy of Fossils (8 papers) and Adaptive Dynamic Programming Control (5 papers). Jiarun Liu collaborates with scholars based in China, Hong Kong and United Kingdom. Jiarun Liu's co-authors include Xiangning Yang, Ruirui Li, Xiang Chen, Lu Huang, Hairong Zheng, Shanshan Wang, Hong-Yu Zhou, Xu Huang, Karpagam Subramanian and Shauhrat S. Chopra and has published in prestigious journals such as Nature Communications, ACS Applied Materials & Interfaces and IEEE Transactions on Image Processing.

In The Last Decade

Jiarun Liu

36 papers receiving 332 citations

Author Peers

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

Author						Papers	Cites
Jiarun Liu	93	72	54	50	46	42	338
Ling Gao	24 0.3×	48 0.7×	96 1.8×	23 0.5×	25 0.5×	29	293
Yan Zhang	36 0.4×	34 0.5×	115 2.1×	52 1.0×	32 0.7×	25	384
Guangzhao Zhou	24 0.3×	11 0.2×	12 0.2×	10 0.2×	18 0.4×	32	365
Hiroshi KANO	37 0.4×	60 0.8×	46 0.9×	182 3.6×	130 2.8×	47	356
Haifeng Ding	49 0.5×	132 1.8×	42 0.8×	110 2.2×	32 0.7×	34	341
Bo Long	6 0.1×	76 1.1×	72 1.3×	31 0.6×	27 0.6×	30	327
Haizhou Wang	160 1.7×	49 0.7×	71 1.3×	6 0.1×	19 0.4×	39	340
Lixia Li	125 1.3×	33 0.5×	76 1.4×	53 1.1×	23 0.5×	40	357
Satoru Adachi	34 0.4×	15 0.2×	88 1.6×	17 0.3×	8 0.2×	40	293
Steven J. Gordon	17 0.2×	8 0.1×	54 1.0×	22 0.4×	35 0.8×	18	390

Countries citing papers authored by Jiarun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jiarun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiarun Liu

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