Liuyong Pang

40 total papers · 512 total citations
28 papers, 383 citations indexed

About

Liuyong Pang is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Computer Networks and Communications. According to data from OpenAlex, Liuyong Pang has authored 28 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 15 papers in Modeling and Simulation and 4 papers in Computer Networks and Communications. Recurrent topics in Liuyong Pang's work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (8 papers) and COVID-19 epidemiological studies (6 papers). Liuyong Pang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (8 papers) and COVID-19 epidemiological studies (6 papers). Liuyong Pang collaborates with scholars based in China, Australia and United States. Liuyong Pang's co-authors include Sanhong Liu, Xinan Zhang, Zhong Zhao, Shigui Ruan, Tianhai Tian, Xinyu Song, Yong Li, Lin Shen, Lianwen Wang and Ying Chen and has published in prestigious journals such as Scientific Reports, Chaos Solitons & Fractals and Applied Mathematics and Computation.

In The Last Decade

Liuyong Pang

27 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Liuyong Pang	257	216	66	64	41	28	383
Yueping Dong	233 0.9×	204 0.9×	61 0.9×	77 1.2×	14 0.3×	33	374
Ruijun Zhao	139 0.5×	251 1.2×	35 0.5×	105 1.6×	22 0.5×	22	375
Omar Balatif	247 1.0×	196 0.9×	112 1.7×	45 0.7×	38 0.9×	37	411
Amar Nath Chatterjee	265 1.0×	256 1.2×	129 2.0×	67 1.0×	35 0.9×	39	421
Wai‐Yuan Tan	82 0.3×	140 0.6×	64 1.0×	37 0.6×	31 0.8×	28	355
Sebastian C. Binder	133 0.5×	60 0.3×	123 1.9×	26 0.4×	102 2.5×	14	355
Guihong Fan	129 0.5×	175 0.8×	144 2.2×	84 1.3×	26 0.6×	38	409
Jinren Pan	107 0.4×	59 0.3×	151 2.3×	33 0.5×	151 3.7×	30	406
Mairaj Bibi	161 0.6×	165 0.8×	27 0.4×	53 0.8×	13 0.3×	25	378
Peng Wu	190 0.7×	228 1.1×	34 0.5×	109 1.7×	31 0.8×	68	429

Countries citing papers authored by Liuyong Pang

Since Specialization

Citations

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

Fields of papers citing papers by Liuyong Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuyong Pang

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