Cheng‐Hsiung Lee

44 total papers · 770 total citations
33 papers, 582 citations indexed

About

Cheng‐Hsiung Lee is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheng‐Hsiung Lee has authored 33 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 9 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheng‐Hsiung Lee's work include Advanced Manufacturing and Logistics Optimization (11 papers), Scheduling and Optimization Algorithms (10 papers) and Assembly Line Balancing Optimization (9 papers). Cheng‐Hsiung Lee is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (11 papers), Scheduling and Optimization Algorithms (10 papers) and Assembly Line Balancing Optimization (9 papers). Cheng‐Hsiung Lee collaborates with scholars based in Taiwan, United States and China. Cheng‐Hsiung Lee's co-authors include Po-Whei Huang, Jung‐Sing Jwo, Ching‐Jong Liao, Phen-Lan Lin, Ming-Ting Wu, Po-Whei Huang, Pengfei Huang, Chao-Tang Tseng, Yuan-Shyi Peter Chiu and Xin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Cheng‐Hsiung Lee

27 papers receiving 564 citations

Author Peers

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

Author Last Decade Papers Cites
Cheng‐Hsiung Lee 217 194 154 90 71 33 582
Amin Khatami 109 0.5× 218 1.1× 240 1.6× 116 1.3× 22 0.3× 17 593
Naveen Kumar 81 0.4× 247 1.3× 122 0.8× 134 1.5× 18 0.3× 59 668
Qingfeng Li 101 0.5× 150 0.8× 190 1.2× 112 1.2× 51 0.7× 44 514
Siyamalan Manivannan 53 0.2× 216 1.1× 192 1.2× 143 1.6× 22 0.3× 38 579
Jinn‐Yi Yeh 174 0.8× 179 0.9× 91 0.6× 57 0.6× 31 0.4× 29 550
Jarosław Kurek 156 0.7× 148 0.8× 85 0.6× 79 0.9× 231 3.3× 51 576
Pandia Rajan Jeyaraj 108 0.5× 190 1.0× 105 0.7× 146 1.6× 12 0.2× 31 670
Xu Lu 53 0.2× 91 0.5× 136 0.9× 96 1.1× 36 0.5× 52 525
Hang Zhang 170 0.8× 64 0.3× 101 0.7× 100 1.1× 55 0.8× 48 655
Margarita Gamarra 30 0.1× 241 1.2× 193 1.3× 121 1.3× 36 0.5× 36 623

Countries citing papers authored by Cheng‐Hsiung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Hsiung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Hsiung Lee. 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 Cheng‐Hsiung Lee. The network helps show where Cheng‐Hsiung Lee may publish in the future.

Co-authorship network of co-authors of Cheng‐Hsiung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Hsiung Lee. A scholar is included among the top collaborators of Cheng‐Hsiung Lee 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 Cheng‐Hsiung Lee. Cheng‐Hsiung Lee 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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