Ling‐Feng Hsieh

24 total papers · 956 total citations
21 papers, 766 citations indexed

About

Ling‐Feng Hsieh is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Ling‐Feng Hsieh has authored 21 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 5 papers in Management Science and Operations Research and 3 papers in Strategy and Management. Recurrent topics in Ling‐Feng Hsieh's work include Advanced Manufacturing and Logistics Optimization (5 papers), Customer Service Quality and Loyalty (3 papers) and Optimization and Packing Problems (3 papers). Ling‐Feng Hsieh is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (5 papers), Customer Service Quality and Loyalty (3 papers) and Optimization and Packing Problems (3 papers). Ling‐Feng Hsieh collaborates with scholars based in Taiwan and United States. Ling‐Feng Hsieh's co-authors include Yi-Yin Lin, Pei-Hao Tai, Wen‐Chin Chen, Yichen Huang, Wei‐Jaw Deng, Angel Chen, Yichen Huang and Chien‐Lin Huang and has published in prestigious journals such as Tourism Management, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Ling‐Feng Hsieh

21 papers receiving 713 citations

Author Peers

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

Author						Papers	Cites
Ling‐Feng Hsieh	273	203	180	151	118	21	766
Tsung‐Yu Chou	108 0.4×	276 1.4×	182 1.0×	144 1.0×	43 0.4×	25	703
Milorad Kilibarda	152 0.6×	107 0.5×	91 0.5×	116 0.8×	62 0.5×	41	634
Flor Guerrero	110 0.4×	157 0.8×	235 1.3×	64 0.4×	78 0.7×	15	623
Jiaqin Yang	115 0.4×	143 0.7×	92 0.5×	87 0.6×	35 0.3×	41	645
Hsin‐Pin Fu	152 0.6×	178 0.9×	120 0.7×	94 0.6×	53 0.4×	63	780
Ching-Chin Chern	156 0.6×	241 1.2×	175 1.0×	80 0.5×	72 0.6×	38	899
Mahmut Bakır	69 0.3×	286 1.4×	80 0.4×	92 0.6×	95 0.8×	44	765
Ted Klastorin	129 0.5×	160 0.8×	45 0.3×	67 0.4×	118 1.0×	30	630
Iuan‐Yuan Lu	62 0.2×	175 0.9×	79 0.4×	127 0.8×	94 0.8×	20	681
Junjun Zheng	114 0.4×	260 1.3×	141 0.8×	32 0.2×	99 0.8×	44	884

Countries citing papers authored by Ling‐Feng Hsieh

Since Specialization

Citations

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

Fields of papers citing papers by Ling‐Feng Hsieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling‐Feng Hsieh

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