Michael H.‐C. Jin

65 total papers · 648 total citations
43 papers, 513 citations indexed

About

Michael H.‐C. Jin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael H.‐C. Jin has authored 43 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 29 papers in Materials Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael H.‐C. Jin's work include Chalcogenide Semiconductor Thin Films (21 papers), Quantum Dots Synthesis And Properties (20 papers) and Copper-based nanomaterials and applications (16 papers). Michael H.‐C. Jin is often cited by papers focused on Chalcogenide Semiconductor Thin Films (21 papers), Quantum Dots Synthesis And Properties (20 papers) and Copper-based nanomaterials and applications (16 papers). Michael H.‐C. Jin collaborates with scholars based in United States, South Korea and United Kingdom. Michael H.‐C. Jin's co-authors include K.K. Banger, Jerry D. Harris, Aloysius F. Hepp, John R. Abelson, P.E. Fanwick, Ralph G. Nuzzo, Paul M. Voyles, M.M.J. Treacy, J. M. Gibson and Jonathan E. Cowen and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Inorganic Chemistry.

In The Last Decade

Michael H.‐C. Jin

39 papers receiving 502 citations

Author Peers

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

Author						Papers	Cites
Michael H.‐C. Jin	389	339	64	55	36	43	513
J. Dahl	245 0.6×	302 0.9×	83 1.3×	111 2.0×	36 1.0×	43	494
Mingxiang Chen	395 1.0×	374 1.1×	59 0.9×	61 1.1×	42 1.2×	32	592
A. Heft	423 1.1×	224 0.7×	49 0.8×	39 0.7×	20 0.6×	24	595
M. A. Alvi	255 0.7×	344 1.0×	65 1.0×	48 0.9×	23 0.6×	44	523
Krishnendu Maji	229 0.6×	391 1.2×	46 0.7×	43 0.8×	17 0.5×	41	543
Wei Zhao	307 0.8×	354 1.0×	56 0.9×	61 1.1×	77 2.1×	38	495
Yang Fu	332 0.9×	197 0.6×	70 1.1×	131 2.4×	29 0.8×	37	553
Minki Hong	257 0.7×	331 1.0×	47 0.7×	36 0.7×	47 1.3×	36	572
Norio Kaneko	256 0.7×	234 0.7×	46 0.7×	53 1.0×	51 1.4×	46	493
Alexander Logunov	305 0.8×	359 1.1×	68 1.1×	26 0.5×	18 0.5×	49	464

Countries citing papers authored by Michael H.‐C. Jin

Since Specialization

Citations

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

Fields of papers citing papers by Michael H.‐C. Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H.‐C. Jin. 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 Michael H.‐C. Jin. The network helps show where Michael H.‐C. Jin may publish in the future.

Co-authorship network of co-authors of Michael H.‐C. Jin

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