Wei-Chung Wang

109 total papers · 909 total citations
56 papers, 669 citations indexed

About

Wei-Chung Wang is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Wei-Chung Wang has authored 56 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 22 papers in Mechanics of Materials and 18 papers in Mechanical Engineering. Recurrent topics in Wei-Chung Wang's work include Optical measurement and interference techniques (23 papers), Mechanical Behavior of Composites (10 papers) and Structural Health Monitoring Techniques (9 papers). Wei-Chung Wang is often cited by papers focused on Optical measurement and interference techniques (23 papers), Mechanical Behavior of Composites (10 papers) and Structural Health Monitoring Techniques (9 papers). Wei-Chung Wang collaborates with scholars based in Taiwan, United Kingdom and United States. Wei-Chung Wang's co-authors include Chi-Hung Hwang, Chieh-Hua Wen, Chiang Fu, Shinn‐Jyh Ding, Chuncheng Chen, Chia‐Che Ho, Meng Gong, Ying Hei Chui, Eann A. Patterson and Mingkai Peng and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Endodontics and Composites Part A Applied Science and Manufacturing.

In The Last Decade

Wei-Chung Wang

56 papers receiving 640 citations

Author Peers

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

Author						Papers	Cites
Wei-Chung Wang	181	151	126	125	115	56	669
Hui Shen	123 0.7×	92 0.6×	115 0.9×	197 1.6×	42 0.4×	33	588
Yunyi Liu	41 0.2×	140 0.9×	182 1.4×	121 1.0×	103 0.9×	59	631
Daniel C. Moura	77 0.4×	240 1.6×	82 0.7×	85 0.7×	93 0.8×	32	632
Youdong Zhang	28 0.2×	29 0.2×	242 1.9×	210 1.7×	24 0.2×	49	670
Jingsong Chen	42 0.2×	86 0.6×	82 0.7×	48 0.4×	246 2.1×	38	637
Xin Xie	93 0.5×	100 0.7×	303 2.4×	80 0.6×	71 0.6×	28	693
Haiyuan Li	69 0.4×	18 0.1×	274 2.2×	233 1.9×	35 0.3×	82	780
Jianxing Yang	91 0.5×	35 0.2×	155 1.2×	292 2.3×	73 0.6×	29	564
Lei Guo	102 0.6×	57 0.4×	92 0.7×	143 1.1×	76 0.7×	69	674
Yuanjun Li	16 0.1×	90 0.6×	82 0.7×	127 1.0×	25 0.2×	55	681

Countries citing papers authored by Wei-Chung Wang

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Chung Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Chung Wang

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