Ling‐Jing Kao

37 total papers · 856 total citations
29 papers, 625 citations indexed

About

Ling‐Jing Kao is a scholar working on Artificial Intelligence, Management Science and Operations Research and Health Information Management. According to data from OpenAlex, Ling‐Jing Kao has authored 29 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 5 papers in Health Information Management. Recurrent topics in Ling‐Jing Kao's work include Efficiency Analysis Using DEA (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Artificial Intelligence in Healthcare (5 papers). Ling‐Jing Kao is often cited by papers focused on Efficiency Analysis Using DEA (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Artificial Intelligence in Healthcare (5 papers). Ling‐Jing Kao collaborates with scholars based in Taiwan, United States and United Kingdom. Ling‐Jing Kao's co-authors include Chi-Jie Lu, Chih‐Chou Chiu, Chih‐Hsiang Chang, Chih‐Chou Chiu, Fábio Caldieraro, Marcus Cunha, Tian‐Shyug Lee, Deborah F. Cook, Chengcheng Li and Chengcheng Li and has published in prestigious journals such as Journal of Marketing, European Journal of Operational Research and Journal of Business Research.

In The Last Decade

Ling‐Jing Kao

28 papers receiving 592 citations

Author Peers

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

Author						Papers	Cites
Ling‐Jing Kao	292	183	135	131	71	29	625
Shian-Chang Huang	183 0.6×	189 1.0×	188 1.4×	79 0.6×	102 1.4×	42	610
Desheng Wu	215 0.7×	146 0.8×	94 0.7×	69 0.5×	75 1.1×	48	693
Victor Richmond R. Jose	409 1.4×	129 0.7×	152 1.1×	106 0.8×	72 1.0×	34	782
An‐Pin Chen	241 0.8×	164 0.9×	109 0.8×	91 0.7×	100 1.4×	70	705
Arash Ghanbari	361 1.2×	182 1.0×	134 1.0×	213 1.6×	46 0.6×	18	671
David Quintana	280 1.0×	158 0.9×	132 1.0×	68 0.5×	97 1.4×	41	554
Germán G. Creamer	215 0.7×	142 0.8×	244 1.8×	143 1.1×	112 1.6×	51	650
Hassan Shavandi	302 1.0×	147 0.8×	109 0.8×	124 0.9×	39 0.5×	30	679
William Leigh	442 1.5×	149 0.8×	247 1.8×	70 0.5×	144 2.0×	33	782
Andreas Karathanasopoulos	382 1.3×	142 0.8×	333 2.5×	129 1.0×	229 3.2×	49	742

Countries citing papers authored by Ling‐Jing Kao

Since Specialization

Citations

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

Fields of papers citing papers by Ling‐Jing Kao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling‐Jing Kao

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