Jane Chang

41 total papers · 886 total citations
23 papers, 587 citations indexed

About

Jane Chang is a scholar working on Management of Technology and Innovation, Business and International Management and Management Science and Operations Research. According to data from OpenAlex, Jane Chang has authored 23 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management of Technology and Innovation, 5 papers in Business and International Management and 4 papers in Management Science and Operations Research. Recurrent topics in Jane Chang's work include Entrepreneurship Studies and Influences (9 papers), Innovation and Socioeconomic Development (5 papers) and Optimal Experimental Design Methods (3 papers). Jane Chang is often cited by papers focused on Entrepreneurship Studies and Influences (9 papers), Innovation and Socioeconomic Development (5 papers) and Optimal Experimental Design Methods (3 papers). Jane Chang collaborates with scholars based in United States, United Kingdom and Singapore. Jane Chang's co-authors include Alison Rieple, David C. Yen, David C. Chou, Ainurul Rosli, J. Ruiz-Alba, Luca Cacciolatti, Antonio Campo, El Hassan Ridouane, Susan Martin and Jason C. Hsu and has published in prestigious journals such as Journal of Business Research, Applied Thermal Engineering and Journal of Heat Transfer.

In The Last Decade

Jane Chang

23 papers receiving 518 citations

Author Peers

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

Author						Papers	Cites
Jane Chang	241	106	105	98	90	23	587
Mohamed Hani Gheith	259 1.1×	108 1.0×	56 0.5×	128 1.3×	89 1.0×	18	545
Gabriel Linton	367 1.5×	67 0.6×	31 0.3×	78 0.8×	215 2.4×	22	631
M Rosario Perello-Marin	144 0.6×	88 0.8×	42 0.4×	50 0.5×	110 1.2×	47	527
Ammar Mohamed Aamer	129 0.5×	36 0.3×	163 1.6×	60 0.6×	160 1.8×	30	566
Astrid Heidemann Lassen	331 1.4×	42 0.4×	47 0.4×	86 0.9×	225 2.5×	58	610
Marta Pérez-Pérez	148 0.6×	65 0.6×	68 0.6×	38 0.4×	164 1.8×	23	562
Tony Bailetti	254 1.1×	35 0.3×	59 0.6×	74 0.8×	218 2.4×	41	596
Suleiman K. Kassicieh	189 0.8×	41 0.4×	100 1.0×	37 0.4×	250 2.8×	49	642
Thomas Baaken	317 1.3×	123 1.2×	22 0.2×	34 0.3×	336 3.7×	36	640
Juan José Nájera Sánchez	105 0.4×	37 0.3×	30 0.3×	42 0.4×	219 2.4×	35	625

Countries citing papers authored by Jane Chang

Since Specialization

Citations

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

Fields of papers citing papers by Jane Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Chang. 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 Jane Chang. The network helps show where Jane Chang may publish in the future.

Co-authorship network of co-authors of Jane Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Chang. A scholar is included among the top collaborators of Jane Chang 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 Jane Chang. Jane Chang 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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