Ling‐Huey Su

40 total papers · 532 total citations
31 papers, 403 citations indexed

About

Ling‐Huey Su is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Ling‐Huey Su has authored 31 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 9 papers in Computer Networks and Communications and 2 papers in Management Information Systems. Recurrent topics in Ling‐Huey Su's work include Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (24 papers) and Assembly Line Balancing Optimization (13 papers). Ling‐Huey Su is often cited by papers focused on Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (24 papers) and Assembly Line Balancing Optimization (13 papers). Ling‐Huey Su collaborates with scholars based in Taiwan, Hong Kong and China. Ling‐Huey Su's co-authors include Pei‐Chann Chang, James C. Chen, Fuh‐Der Chou, Hanbin Wu, Chun‐Chieh Chen, Huimei Wang, T.C.E. Cheng, Ping-Shun Chen, Dar-Li Yang and Ching‐Jong Liao and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and International Journal of Production Economics.

In The Last Decade

Ling‐Huey Su

31 papers receiving 382 citations

Author Peers

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

Author Last Decade Papers Cites
Ling‐Huey Su 376 101 32 25 23 31 403
Fuh‐Der Chou 270 0.7× 59 0.6× 15 0.5× 17 0.7× 70 3.0× 34 350
Yuan-Yuan Lu 399 1.1× 241 2.4× 14 0.4× 24 1.0× 14 0.6× 32 442
Jianyou Xu 317 0.8× 108 1.1× 11 0.3× 20 0.8× 45 2.0× 25 345
Surya Danusaputro Liman 382 1.0× 179 1.8× 16 0.5× 58 2.3× 13 0.6× 18 402
Robert T. Sumichrast 327 0.9× 38 0.4× 34 1.1× 24 1.0× 44 1.9× 19 421
Mourad Boudhar 318 0.8× 153 1.5× 26 0.8× 7 0.3× 28 1.2× 47 344
Parthasarati Dileepan 329 0.9× 138 1.4× 22 0.7× 59 2.4× 34 1.5× 23 382
Talel Ladhari 257 0.7× 80 0.8× 80 2.5× 48 1.9× 32 1.4× 38 355
Bart Saint Germain 279 0.7× 37 0.4× 17 0.5× 50 2.0× 37 1.6× 40 402
Yu. N. Sotskov 375 1.0× 111 1.1× 36 1.1× 34 1.4× 27 1.2× 20 430

Countries citing papers authored by Ling‐Huey Su

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Huey Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Huey Su. 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 Ling‐Huey Su. The network helps show where Ling‐Huey Su may publish in the future.

Co-authorship network of co-authors of Ling‐Huey Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Huey Su. A scholar is included among the top collaborators of Ling‐Huey Su 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 Ling‐Huey Su. Ling‐Huey Su 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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