Li Chun

62 total papers · 477 total citations
26 papers, 323 citations indexed

About

Li Chun is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Li Chun has authored 26 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 6 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Li Chun's work include Advanced Algorithms and Applications (2 papers), Heat Transfer Mechanisms (2 papers) and Nuclear Engineering Thermal-Hydraulics (2 papers). Li Chun is often cited by papers focused on Advanced Algorithms and Applications (2 papers), Heat Transfer Mechanisms (2 papers) and Nuclear Engineering Thermal-Hydraulics (2 papers). Li Chun collaborates with scholars based in China, United States and Australia. Li Chun's co-authors include Tao Qian, Alan McIntosh, Ming Ding, Changqi Yan, Xiaoya Liu, Xiaxin Cao, Chiyi Xiong, Wei Lü, Tony Schönherr and Martin Lévesque and has published in prestigious journals such as Bioresource Technology, Scientific Reports and International Journal of Heat and Mass Transfer.

In The Last Decade

Li Chun

21 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Li Chun	135	75	69	41	35	26	323
Hongxia Li	53 0.4×	22 0.3×	118 1.7×	31 0.8×	10 0.3×	51	363
Andreas Stahel	142 1.1×	18 0.2×	94 1.4×	8 0.2×	12 0.3×	22	360
Michael A. Thomas	31 0.2×	48 0.6×	30 0.4×	6 0.1×	5 0.1×	15	243
Ching-Yi Tsai	54 0.4×	61 0.8×	28 0.4×	9 0.2×	6 0.2×	33	324
Karel Tůma	103 0.8×	20 0.3×	92 1.3×	13 0.3×	12 0.3×	28	343
Xuelei Zhao	35 0.3×	35 0.5×	29 0.4×	6 0.1×	2 0.1×	23	314
Ícaro dos Santos	225 1.7×	7 0.1×	18 0.3×	11 0.3×	72 2.1×	25	324
Keyue Zhang	155 1.1×	5 0.1×	39 0.6×	14 0.3×	4 0.1×	34	355
Suzan J. Obaiys	82 0.6×	39 0.5×	27 0.4×	58 1.4×	5 0.1×	32	360
Abramo Agosti	67 0.5×	15 0.2×	16 0.2×	3 0.1×	37 1.1×	28	267

Countries citing papers authored by Li Chun

Since Specialization

Citations

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

Fields of papers citing papers by Li Chun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Chun

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