J. C. Huang

93 total papers · 1.0k total citations
55 papers, 681 citations indexed

About

J. C. Huang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Software. According to data from OpenAlex, J. C. Huang has authored 55 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 19 papers in Artificial Intelligence and 10 papers in Software. Recurrent topics in J. C. Huang's work include Quantum Information and Cryptography (15 papers), Quantum optics and atomic interactions (11 papers) and Mechanical and Optical Resonators (10 papers). J. C. Huang is often cited by papers focused on Quantum Information and Cryptography (15 papers), Quantum optics and atomic interactions (11 papers) and Mechanical and Optical Resonators (10 papers). J. C. Huang collaborates with scholars based in China, United States and Singapore. J. C. Huang's co-authors include Xi Liu, Liuning Zhou, Song Su, Jingwen Wang, Yan‐Ling Li, Shan L. Pan, Carmen Leong, Xia Wang, Dorothy E. Leidner and Rong Chen and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Communications of the ACM.

In The Last Decade

J. C. Huang

48 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
J. C. Huang	265	200	161	112	105	55	681
Richard Messnarz	67 0.3×	292 1.5×	56 0.3×	39 0.3×	25 0.2×	85	724
Ignacio García‐Rodríguez de Guzmán	230 0.9×	568 2.8×	269 1.7×	18 0.2×	19 0.2×	77	790
Chao Zhang	410 1.5×	260 1.3×	209 1.3×	11 0.1×	25 0.2×	58	775
P. S. Grover	260 1.0×	437 2.2×	217 1.3×	36 0.3×	15 0.1×	75	608
Yuqing Lin	43 0.2×	305 1.5×	244 1.5×	19 0.2×	141 1.3×	97	786
S. M. K. Quadri	192 0.7×	219 1.1×	114 0.7×	8 0.1×	36 0.3×	73	733
Bart Jacobs	15 0.1×	150 0.8×	351 2.2×	39 0.3×	57 0.5×	50	638
Macario Polo	485 1.8×	455 2.3×	193 1.2×	16 0.1×	4 0.0×	75	738
Dapeng Liu	146 0.6×	350 1.8×	239 1.5×	2 0.0×	97 0.9×	63	790
Shih‐Hao Hung	74 0.3×	199 1.0×	122 0.8×	69 0.6×	9 0.1×	94	778

Countries citing papers authored by J. C. Huang

Since Specialization

Citations

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

Fields of papers citing papers by J. C. Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Huang. 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 J. C. Huang. The network helps show where J. C. Huang may publish in the future.

Co-authorship network of co-authors of J. C. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Huang. A scholar is included among the top collaborators of J. C. Huang 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 J. C. Huang. J. C. Huang 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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