Fong-Lin Chu

14 total papers · 744 total citations
11 papers, 567 citations indexed

About

Fong-Lin Chu is a scholar working on Management Science and Operations Research, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Fong-Lin Chu has authored 11 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 6 papers in Economics and Econometrics and 5 papers in Sociology and Political Science. Recurrent topics in Fong-Lin Chu's work include Forecasting Techniques and Applications (5 papers), Diverse Aspects of Tourism Research (5 papers) and Grey System Theory Applications (5 papers). Fong-Lin Chu is often cited by papers focused on Forecasting Techniques and Applications (5 papers), Diverse Aspects of Tourism Research (5 papers) and Grey System Theory Applications (5 papers). Fong-Lin Chu collaborates with scholars based in Taiwan. Fong-Lin Chu's co-authors include Yi-Chang Lu, Weiming Lü, Jack W. Hou and Hsiu‐Po Kuo and has published in prestigious journals such as Tourism Management, Annals of Tourism Research and Journal of Travel Research.

In The Last Decade

Fong-Lin Chu

11 papers receiving 522 citations

Author Peers

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

Author						Papers	Cites
Fong-Lin Chu	318	200	156	144	93	11	567
Shujie Shen	405 1.3×	179 0.9×	162 1.0×	117 0.8×	126 1.4×	13	656
Long Wen	409 1.3×	65 0.3×	144 0.9×	60 0.4×	116 1.2×	15	589
Bo Peng	316 1.0×	48 0.2×	180 1.2×	55 0.4×	110 1.2×	21	667
Christine A. Martin	461 1.4×	81 0.4×	372 2.4×	140 1.0×	135 1.5×	8	655
Paul Hudson	135 0.4×	105 0.5×	218 1.4×	20 0.1×	48 0.5×	22	555
Essam Mahmoud	66 0.2×	288 1.4×	112 0.7×	21 0.1×	17 0.2×	31	540
Chin-Wei Huang	104 0.3×	444 2.2×	366 2.3×	27 0.2×	29 0.3×	27	681
Singfat Chu	89 0.3×	241 1.2×	186 1.2×	20 0.1×	59 0.6×	14	592
Flor Guerrero	235 0.7×	157 0.8×	78 0.5×	16 0.1×	112 1.2×	15	623
Pengzhen Yin	107 0.3×	392 2.0×	294 1.9×	10 0.1×	30 0.3×	24	681

Countries citing papers authored by Fong-Lin Chu

Since Specialization

Citations

This map shows the geographic impact of Fong-Lin Chu'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 Fong-Lin Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fong-Lin Chu more than expected).

Fields of papers citing papers by Fong-Lin Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fong-Lin Chu. 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 Fong-Lin Chu. The network helps show where Fong-Lin Chu may publish in the future.

Co-authorship network of co-authors of Fong-Lin Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Fong-Lin Chu. A scholar is included among the top collaborators of Fong-Lin Chu 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 Fong-Lin Chu. Fong-Lin Chu 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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