Wang‐Hsien Ding

46 total papers · 976 total citations
33 papers, 818 citations indexed

About

Wang‐Hsien Ding is a scholar working on Analytical Chemistry, Health, Toxicology and Mutagenesis and Spectroscopy. According to data from OpenAlex, Wang‐Hsien Ding has authored 33 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Analytical Chemistry, 17 papers in Health, Toxicology and Mutagenesis and 11 papers in Spectroscopy. Recurrent topics in Wang‐Hsien Ding's work include Analytical chemistry methods development (18 papers), Toxic Organic Pollutants Impact (10 papers) and Analytical Chemistry and Chromatography (9 papers). Wang‐Hsien Ding is often cited by papers focused on Analytical chemistry methods development (18 papers), Toxic Organic Pollutants Impact (10 papers) and Analytical Chemistry and Chromatography (9 papers). Wang‐Hsien Ding collaborates with scholars based in Taiwan, United States and Indonesia. Wang‐Hsien Ding's co-authors include Hsin‐Chang Chen, Shin‐Hwa Tzing, Yoshiko Fujita, Martin Reinhard, Li‐Lian Liu, Ru‐Dong Wei, Yau‐Huei Wei, Chia‐Yu Chang, Wen‐Tsen Chen and Ling‐Long Kuo‐Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Chemosphere.

In The Last Decade

Wang‐Hsien Ding

33 papers receiving 796 citations

Author Peers

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

Author						Papers	Cites
Wang‐Hsien Ding	408	308	261	181	136	33	818
G. Lacroix	465 1.1×	234 0.8×	291 1.1×	232 1.3×	128 0.9×	24	884
Heidrun Paschke	336 0.8×	384 1.2×	223 0.9×	178 1.0×	110 0.8×	28	988
R. Rodríguez-Gómez	531 1.3×	296 1.0×	305 1.2×	100 0.6×	144 1.1×	24	1.0k
Alfredo Rubio Díaz	501 1.2×	320 1.0×	253 1.0×	191 1.1×	119 0.9×	34	849
Eckard Jantzen	533 1.3×	300 1.0×	355 1.4×	243 1.3×	130 1.0×	29	1.0k
Xinying Gong	328 0.8×	328 1.1×	222 0.9×	77 0.4×	78 0.6×	36	870
Juan Carlos Raposo	525 1.3×	334 1.1×	278 1.1×	150 0.8×	113 0.8×	40	964
David J. Munch	441 1.1×	166 0.5×	344 1.3×	93 0.5×	166 1.2×	33	844
Montserrat Castillo	470 1.2×	477 1.5×	194 0.7×	170 0.9×	92 0.7×	15	849
Leire Mijangos	350 0.9×	337 1.1×	154 0.6×	135 0.7×	54 0.4×	25	722

Countries citing papers authored by Wang‐Hsien Ding

Since Specialization

Citations

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

Fields of papers citing papers by Wang‐Hsien Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang‐Hsien Ding

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