Huiqin Wu

87 total papers · 458 total citations
51 papers, 331 citations indexed

About

Huiqin Wu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Huiqin Wu has authored 51 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Spectroscopy. Recurrent topics in Huiqin Wu's work include Analytical Chemistry and Chromatography (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Toxic Organic Pollutants Impact (4 papers). Huiqin Wu is often cited by papers focused on Analytical Chemistry and Chromatography (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Toxic Organic Pollutants Impact (4 papers). Huiqin Wu collaborates with scholars based in China and Hong Kong. Huiqin Wu's co-authors include Xiaolan Huang, Yan Chen, Jian Wang, Xiaoshan Lin, Fang Huang, Xi Zhou, Zhaobin Chen, Zongwei Cai, Guodong Cao and Yanjun Hong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Food Chemistry.

In The Last Decade

Huiqin Wu

44 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Huiqin Wu	76	47	41	36	34	51	331
Bruno Carius Garrido	101 1.3×	53 1.1×	20 0.5×	73 2.0×	5 0.1×	28	259
Hadi Noorizadeh	69 0.9×	74 1.6×	24 0.6×	99 2.8×	9 0.3×	65	315
Satoshi Tsuruta	86 1.1×	25 0.5×	33 0.8×	22 0.6×	49 1.4×	42	362
Keiko HIRATA	134 1.8×	32 0.7×	23 0.6×	31 0.9×	40 1.2×	34	326
Sophi Damayanti	48 0.6×	50 1.1×	37 0.9×	26 0.7×	11 0.3×	62	306
Wolfgang Will	66 0.9×	17 0.4×	25 0.6×	36 1.0×	54 1.6×	37	277
Liqun Zhang	50 0.7×	65 1.4×	21 0.5×	47 1.3×	67 2.0×	26	320
Na Li	156 2.1×	19 0.4×	18 0.4×	33 0.9×	37 1.1×	25	342
Daniel Banes	52 0.7×	66 1.4×	21 0.5×	92 2.6×	12 0.4×	38	356
Amit Kumar Sahu	118 1.6×	54 1.1×	22 0.5×	62 1.7×	7 0.2×	50	346

Countries citing papers authored by Huiqin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Huiqin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiqin Wu

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