H. Fang

57 total papers · 825 total citations
46 papers, 583 citations indexed

About

H. Fang is a scholar working on Statistics, Probability and Uncertainty, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, H. Fang has authored 46 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics, Probability and Uncertainty, 17 papers in Biomedical Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in H. Fang's work include Scientific Measurement and Uncertainty Evaluation (36 papers), Advanced Sensor Technologies Research (15 papers) and Advanced Electrical Measurement Techniques (12 papers). H. Fang is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (36 papers), Advanced Sensor Technologies Research (15 papers) and Advanced Electrical Measurement Techniques (12 papers). H. Fang collaborates with scholars based in France, China and United States. H. Fang's co-authors include A. Picard, M Stöck, A. Kiss, Franck Bielsa, Shisong Li, E. de Mirandes, J.-G. Zhu, P. Juncar, Philippe Richard and S Solve and has published in prestigious journals such as Applied Physics Letters, Review of Scientific Instruments and Journal of Crystal Growth.

In The Last Decade

H. Fang

45 papers receiving 529 citations

Author Peers

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

Author						Papers	Cites
H. Fang	412	193	166	153	150	46	583
G. Cavagnero	337 0.8×	186 1.0×	147 0.9×	95 0.6×	37 0.2×	32	634
Atsushi Waseda	298 0.7×	174 0.9×	97 0.6×	79 0.5×	73 0.5×	46	590
P. T. Olsen	319 0.8×	221 1.1×	69 0.4×	147 1.0×	115 0.8×	28	555
G. Zosi	340 0.8×	220 1.1×	120 0.7×	45 0.3×	54 0.4×	38	590
A. Bergamin	279 0.7×	156 0.8×	128 0.8×	83 0.5×	28 0.2×	27	556
Richard Steiner	395 1.0×	220 1.1×	124 0.7×	178 1.2×	150 1.0×	23	645
George R. Jones	101 0.2×	73 0.4×	55 0.3×	205 1.3×	50 0.3×	40	543
T. Funck	167 0.4×	63 0.3×	70 0.4×	432 2.8×	105 0.7×	53	526
Arnold Nicolaus	459 1.1×	282 1.5×	97 0.6×	50 0.3×	111 0.7×	35	588
K. Yamazawa	163 0.4×	27 0.1×	165 1.0×	404 2.6×	28 0.2×	74	675

Countries citing papers authored by H. Fang

Since Specialization

Citations

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

Fields of papers citing papers by H. Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Fang

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