Chung‐Ching Huang

41 total papers · 431 total citations
31 papers, 337 citations indexed

About

Chung‐Ching Huang is a scholar working on Mechanical Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Chung‐Ching Huang has authored 31 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 7 papers in Biomedical Engineering and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Chung‐Ching Huang's work include Injection Molding Process and Properties (12 papers), Advanced machining processes and optimization (9 papers) and Manufacturing Process and Optimization (6 papers). Chung‐Ching Huang is often cited by papers focused on Injection Molding Process and Properties (12 papers), Advanced machining processes and optimization (9 papers) and Manufacturing Process and Optimization (6 papers). Chung‐Ching Huang collaborates with scholars based in Taiwan, United States and Ireland. Chung‐Ching Huang's co-authors include Sheng‐Hshiung Tsaur, Erik Stolterman, Shih‐Feng Tseng, Yen‐Ping Shih, Sun‐Yuan Tsay, Kang‐Tsung Chang, Chung‐Feng Jeffrey Kuo, Jie Tao, Wen‐Shiung Huang and Chi‐Ming Hsieh and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Energy Conversion and Management and Applied Surface Science.

In The Last Decade

Chung‐Ching Huang

30 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Chung‐Ching Huang 109 90 62 53 35 31 337
Meina Cheng 29 0.3× 105 1.2× 69 1.1× 23 0.4× 35 1.0× 25 371
Shuang Chen 72 0.7× 112 1.2× 40 0.6× 27 0.5× 10 0.3× 26 305
Xi Zhang 59 0.5× 26 0.3× 41 0.7× 63 1.2× 35 1.0× 28 404
Chih‐Fu Wu 21 0.2× 124 1.4× 89 1.4× 17 0.3× 75 2.1× 47 383
Christiane Rau 29 0.3× 40 0.4× 25 0.4× 38 0.7× 96 2.7× 14 357
Chengzhong Wu 125 1.1× 11 0.1× 14 0.2× 72 1.4× 26 0.7× 22 343
Ji‐Hwan Yoon 156 1.4× 22 0.2× 49 0.8× 43 0.8× 22 0.6× 37 345
Shihang Zhang 82 0.8× 65 0.7× 11 0.2× 9 0.2× 43 1.2× 23 381
Mazhar Abbas 102 0.9× 35 0.4× 31 0.5× 32 0.6× 22 0.6× 27 403
Han-Chao Chang 122 1.1× 11 0.1× 67 1.1× 86 1.6× 7 0.2× 22 348

Countries citing papers authored by Chung‐Ching Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Ching Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung‐Ching Huang

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