Limin Wang

46 total papers · 473 total citations
32 papers, 345 citations indexed

About

Limin Wang is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Limin Wang has authored 32 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computational Theory and Mathematics. Recurrent topics in Limin Wang's work include Bayesian Modeling and Causal Inference (7 papers), Data Mining Algorithms and Applications (5 papers) and Plasmonic and Surface Plasmon Research (5 papers). Limin Wang is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Data Mining Algorithms and Applications (5 papers) and Plasmonic and Surface Plasmon Research (5 papers). Limin Wang collaborates with scholars based in China, United States and Germany. Limin Wang's co-authors include Helmuth Möhwald, Bin Ai, Gang Zhang, Ye Yu, A. Vincent, Lansun Chen, Zhijun Liu, Larry Peterson, Ruoming Pang and KyoungSoo Park and has published in prestigious journals such as ACS Nano, PLoS ONE and Nanoscale.

In The Last Decade

Limin Wang

28 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
Limin Wang	100	81	55	53	51	32	345
Guole Liu	90 0.9×	30 0.4×	53 1.0×	45 0.8×	33 0.6×	30	293
Xueqing Zhao	30 0.3×	46 0.6×	31 0.6×	46 0.9×	8 0.2×	57	388
Elmar U. K. Melcher	107 1.1×	13 0.2×	15 0.3×	62 1.2×	48 0.9×	35	389
Yuanzhe Yao	46 0.5×	60 0.7×	55 1.0×	55 1.0×	5 0.1×	27	385
Ting‐Lan Lin	49 0.5×	52 0.6×	19 0.3×	34 0.6×	116 2.3×	43	363
Tariq Jamil	52 0.5×	70 0.9×	61 1.1×	34 0.6×	28 0.5×	47	296
Hongyan Mao	80 0.8×	67 0.8×	48 0.9×	38 0.7×	15 0.3×	35	322
Siyi Li	20 0.2×	39 0.5×	35 0.6×	79 1.5×	14 0.3×	45	400
Sungchan Park	54 0.5×	24 0.3×	98 1.8×	49 0.9×	27 0.5×	31	342
Yang Zhang	49 0.5×	41 0.5×	60 1.1×	26 0.5×	83 1.6×	26	346

Countries citing papers authored by Limin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Limin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limin Wang

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