Philip Chung

227 total papers · 2.0k total citations
151 papers, 1.5k citations indexed

About

Philip Chung is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Political Science and International Relations. According to data from OpenAlex, Philip Chung has authored 151 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Electrical and Electronic Engineering, 35 papers in Atomic and Molecular Physics, and Optics and 32 papers in Political Science and International Relations. Recurrent topics in Philip Chung's work include Photonic and Optical Devices (54 papers), Artificial Intelligence in Law (30 papers) and Photorefractive and Nonlinear Optics (24 papers). Philip Chung is often cited by papers focused on Photonic and Optical Devices (54 papers), Artificial Intelligence in Law (30 papers) and Photorefractive and Nonlinear Optics (24 papers). Philip Chung collaborates with scholars based in Hong Kong, Australia and United States. Philip Chung's co-authors include Edwin Yue‐Bun Pun, Shiqing Man, Edwin Yue Bun Pun, Hau Ping Chan, Ning Hua Zhu, Andrew Mowbray, Graham Greenleaf, L. Liu, Chi‐Man Lawrence Wu and B.L. Luk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Philip Chung

133 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Philip Chung	703	340	332	229	158	151	1.5k
W. Patrick	1.0k 1.5×	328 1.0×	442 1.3×	18 0.1×	60 0.4×	75	1.9k
Akira Sakai	785 1.1×	687 2.0×	652 2.0×	41 0.2×	62 0.4×	161	2.2k
H. Johansen	191 0.3×	422 1.2×	274 0.8×	36 0.2×	321 2.0×	73	1.5k
Ashish Verma	276 0.4×	444 1.3×	122 0.4×	32 0.1×	29 0.2×	113	1.9k
Tadashi Shiraishi	234 0.3×	208 0.6×	82 0.2×	12 0.1×	50 0.3×	176	1.8k
Shin Kawai	251 0.4×	610 1.8×	320 1.0×	25 0.1×	241 1.5×	122	1.6k
Richard Taylor	135 0.2×	68 0.2×	42 0.1×	11 0.0×	48 0.3×	99	1.9k
Duncan T. Moore	770 1.1×	186 0.5×	443 1.3×	147 0.6×	18 0.1×	157	1.8k
J. S. Haggerty	433 0.6×	1.0k 3.0×	183 0.6×	491 2.1×	251 1.6×	127	2.3k
B. Singh	471 0.7×	354 1.0×	193 0.6×	13 0.1×	95 0.6×	116	1.8k

Countries citing papers authored by Philip Chung

Since Specialization

Citations

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

Fields of papers citing papers by Philip Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Chung

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