Chih–Wei Huang

102 total papers · 1.2k total citations
72 papers, 890 citations indexed

About

Chih–Wei Huang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chih–Wei Huang has authored 72 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 37 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chih–Wei Huang's work include Advanced Wireless Network Optimization (17 papers), Advanced MIMO Systems Optimization (16 papers) and IoT and Edge/Fog Computing (9 papers). Chih–Wei Huang is often cited by papers focused on Advanced Wireless Network Optimization (17 papers), Advanced MIMO Systems Optimization (16 papers) and IoT and Edge/Fog Computing (9 papers). Chih–Wei Huang collaborates with scholars based in Taiwan, United States and China. Chih–Wei Huang's co-authors include Kun-Chou Lee, Jenq–Neng Hwang, Phone Lin, Po‐Han Wu, I.‐I. Lin, George T.F. Wong, Chun‐Chi Lien, Ming-Chung Fang, Hiroki Nishiyama and Nei Kato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Expert Systems with Applications.

In The Last Decade

Chih–Wei Huang

67 papers receiving 848 citations

Author Peers

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

Author						Papers	Cites
Chih–Wei Huang	379	346	123	116	113	72	890
Dexin Zhao	288 0.8×	423 1.2×	170 1.4×	154 1.3×	27 0.2×	60	945
Guenther Retscher	720 1.9×	180 0.5×	131 1.1×	94 0.8×	423 3.7×	106	1000
Laura Ruotsalainen	458 1.2×	186 0.5×	118 1.0×	166 1.4×	453 4.0×	91	901
Yun Yang	274 0.7×	156 0.5×	33 0.3×	122 1.1×	145 1.3×	63	899
Lingjun Zhao	204 0.5×	126 0.4×	95 0.8×	133 1.1×	185 1.6×	53	810
Rainer Mautz	781 2.1×	172 0.5×	170 1.4×	80 0.7×	450 4.0×	30	994
Bing Jia	448 1.2×	215 0.6×	86 0.7×	117 1.0×	141 1.2×	78	813
Khalid Mahmood Awan	334 0.9×	478 1.4×	67 0.5×	113 1.0×	33 0.3×	39	864
Helena Leppäkoski	712 1.9×	263 0.8×	143 1.2×	171 1.5×	265 2.3×	33	936
Xiaoying Kong	269 0.7×	149 0.4×	205 1.7×	180 1.6×	276 2.4×	64	724

Countries citing papers authored by Chih–Wei Huang

Since Specialization

Citations

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

Fields of papers citing papers by Chih–Wei Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih–Wei 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 Chih–Wei Huang. The network helps show where Chih–Wei Huang may publish in the future.

Co-authorship network of co-authors of Chih–Wei Huang

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