Eric King‐wah Chu

68 total papers · 1.9k total citations
48 papers, 789 citations indexed

About

Eric King‐wah Chu is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Eric King‐wah Chu has authored 48 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Numerical Analysis, 28 papers in Computational Theory and Mathematics and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Eric King‐wah Chu's work include Matrix Theory and Algorithms (28 papers), Model Reduction and Neural Networks (17 papers) and Numerical methods for differential equations (15 papers). Eric King‐wah Chu is often cited by papers focused on Matrix Theory and Algorithms (28 papers), Model Reduction and Neural Networks (17 papers) and Numerical methods for differential equations (15 papers). Eric King‐wah Chu collaborates with scholars based in Australia, Taiwan and China. Eric King‐wah Chu's co-authors include Biswa Nath Datta, Wen‐Wei Lin, Nancy Nichols, Jaroslav Kautský, Wang Cs, Tiexiang Li, Chun‐Hua Guo, Shufang Xu, Alan Andrew and Peter Lancaster and has published in prestigious journals such as Mathematics of Computation, Mechanical Systems and Signal Processing and Neurocomputing.

In The Last Decade

Eric King‐wah Chu

44 papers receiving 713 citations

Author Peers

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

Author						Papers	Cites
Eric King‐wah Chu	480	376	255	201	96	48	789
Jens Saak	264 0.6×	342 0.9×	190 0.7×	658 3.3×	269 2.8×	73	876
Adam W. Bojańczyk	518 1.1×	236 0.6×	120 0.5×	121 0.6×	123 1.3×	63	858
Alaeddin Malek	139 0.3×	192 0.5×	91 0.4×	214 1.1×	105 1.1×	68	825
K.V. Fernando	205 0.4×	216 0.6×	333 1.3×	380 1.9×	134 1.4×	37	851
Zheng‐Jian Bai	351 0.7×	261 0.7×	95 0.4×	33 0.2×	99 1.0×	61	680
Tobias Breiten	148 0.3×	238 0.6×	209 0.8×	437 2.2×	144 1.5×	38	623
Elias Jarlebring	304 0.6×	276 0.7×	250 1.0×	229 1.1×	54 0.6×	47	703
Lei Zhang	677 1.4×	451 1.2×	74 0.3×	85 0.4×	52 0.5×	67	863
M. Tismenetsky	371 0.8×	153 0.4×	202 0.8×	126 0.6×	76 0.8×	18	847
Yuji Nakatsukasa	373 0.8×	193 0.5×	43 0.2×	103 0.5×	145 1.5×	72	738

Countries citing papers authored by Eric King‐wah Chu

Since Specialization

Citations

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

Fields of papers citing papers by Eric King‐wah Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric King‐wah Chu. 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 Eric King‐wah Chu. The network helps show where Eric King‐wah Chu may publish in the future.

Co-authorship network of co-authors of Eric King‐wah Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Eric King‐wah Chu. A scholar is included among the top collaborators of Eric King‐wah Chu 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 Eric King‐wah Chu. Eric King‐wah Chu 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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