Ling Wu

51 total papers · 576 total citations
31 papers, 381 citations indexed

About

Ling Wu is a scholar working on Sociology and Political Science, Economics and Econometrics and Global and Planetary Change. According to data from OpenAlex, Ling Wu has authored 31 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 7 papers in Economics and Econometrics and 5 papers in Global and Planetary Change. Recurrent topics in Ling Wu's work include Crime Patterns and Interventions (17 papers), Land Use and Ecosystem Services (4 papers) and Crime, Illicit Activities, and Governance (4 papers). Ling Wu is often cited by papers focused on Crime Patterns and Interventions (17 papers), Land Use and Ecosystem Services (4 papers) and Crime, Illicit Activities, and Governance (4 papers). Ling Wu collaborates with scholars based in United States, China and South Korea. Ling Wu's co-authors include Xinyue Ye, William Wells, Xinyan Zhu, G.S. Ladde, Jay Lee, Mark R. Leipnik, R. K. Gilpin, David R. Webb, Yaxin Fan and Osama Khassawneh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and Frontiers in Psychology.

In The Last Decade

Ling Wu

29 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
Ling Wu	234	66	62	61	48	31	381
Meagan Cahill	264 1.1×	45 0.7×	49 0.8×	86 1.4×	30 0.6×	26	380
Rebecca J. Walter	254 1.1×	34 0.5×	15 0.2×	131 2.1×	54 1.1×	49	367
Joshua G. Behr	164 0.7×	75 1.1×	19 0.3×	55 0.9×	42 0.9×	48	435
Silas Nogueira de Melo	235 1.0×	115 1.7×	46 0.7×	46 0.8×	26 0.5×	39	408
Hocheol Lee	55 0.2×	33 0.5×	27 0.4×	57 0.9×	40 0.8×	42	368
Haiyan Hao	187 0.8×	65 1.0×	20 0.3×	13 0.2×	35 0.7×	14	360
Jessica M. Keralis	107 0.5×	65 1.0×	13 0.2×	34 0.6×	68 1.4×	16	372
Ourania Kounadi	170 0.7×	49 0.7×	114 1.8×	40 0.7×	102 2.1×	26	410
Alina Ristea	188 0.8×	80 1.2×	40 0.6×	27 0.4×	104 2.2×	28	410
Kathryn Wuschke	341 1.5×	68 1.0×	56 0.9×	17 0.3×	54 1.1×	17	414

Countries citing papers authored by Ling Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ling Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Wu

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