Pin Lyu

39 total papers · 560 total citations
27 papers, 444 citations indexed

About

Pin Lyu is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Pin Lyu has authored 27 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Modeling and Simulation, 26 papers in Numerical Analysis and 8 papers in Applied Mathematics. Recurrent topics in Pin Lyu's work include Fractional Differential Equations Solutions (27 papers), Differential Equations and Numerical Methods (20 papers) and Numerical methods for differential equations (12 papers). Pin Lyu is often cited by papers focused on Fractional Differential Equations Solutions (27 papers), Differential Equations and Numerical Methods (20 papers) and Numerical methods for differential equations (12 papers). Pin Lyu collaborates with scholars based in Macao, China and Hong Kong. Pin Lyu's co-authors include Seakweng Vong, Zhibo Wang, Hong-lin Liao, Siu‐Long Lei, Nan Liu, Ying Zhao, Chenyang Shi, Jingtang Ma, Michael K. Ng and Xue-lei Lin and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Computers & Mathematics with Applications and Applied Mathematics Letters.

In The Last Decade

Pin Lyu

26 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Pin Lyu	426	383	117	96	60	27	444
R.K. Pandey	387 0.9×	413 1.1×	161 1.4×	110 1.1×	55 0.9×	26	490
Maohua Ran	370 0.9×	350 0.9×	96 0.8×	57 0.6×	102 1.7×	26	431
Xiuling Hu	319 0.7×	302 0.8×	105 0.9×	73 0.8×	52 0.9×	20	394
Mirjana Stojanović	301 0.7×	191 0.5×	60 0.5×	149 1.6×	49 0.8×	29	371
Jing Guo	308 0.7×	313 0.8×	112 1.0×	71 0.7×	34 0.6×	23	398
Tayyaba Akram	351 0.8×	249 0.7×	42 0.4×	91 0.9×	109 1.8×	33	485
Rob De Staelen	292 0.7×	230 0.6×	75 0.6×	85 0.9×	73 1.2×	29	401
A. R. Vahidi	316 0.7×	218 0.6×	69 0.6×	115 1.2×	68 1.1×	40	381
P. K. Sahu	334 0.8×	233 0.6×	48 0.4×	115 1.2×	45 0.8×	30	379
Xinglong Li	260 0.6×	217 0.6×	100 0.9×	82 0.9×	22 0.4×	21	390

Countries citing papers authored by Pin Lyu

Since Specialization

Citations

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

Fields of papers citing papers by Pin Lyu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin Lyu

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