Yu-Shan Su

44 total papers · 938 total citations
29 papers, 700 citations indexed

About

Yu-Shan Su is a scholar working on Strategy and Management, Economics and Econometrics and Management of Technology and Innovation. According to data from OpenAlex, Yu-Shan Su has authored 29 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Strategy and Management, 8 papers in Economics and Econometrics and 7 papers in Management of Technology and Innovation. Recurrent topics in Yu-Shan Su's work include Innovation and Knowledge Management (10 papers), Innovation Policy and R&D (4 papers) and University-Industry-Government Innovation Models (4 papers). Yu-Shan Su is often cited by papers focused on Innovation and Knowledge Management (10 papers), Innovation Policy and R&D (4 papers) and University-Industry-Government Innovation Models (4 papers). Yu-Shan Su collaborates with scholars based in Taiwan, United States and China. Yu-Shan Su's co-authors include Mike W. Peng, Eric W. K. Tsang, Jin Chen, Han-Chao Chang, Wei‐Lun Chiang, Fred Phillips, Jin Chen, Yuya Kajikawa, Jeroen P.J. de Jong and Eric von Hippel and has published in prestigious journals such as Research Policy, Computers in Human Behavior and Technological Forecasting and Social Change.

In The Last Decade

Yu-Shan Su

28 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Yu-Shan Su	319	184	157	149	84	29	700
Graciela Corral de Zubielqui	381 1.2×	257 1.4×	159 1.0×	147 1.0×	75 0.9×	25	766
Romano Dyerson	371 1.2×	142 0.8×	154 1.0×	121 0.8×	163 1.9×	32	807
Theresa C.F. Ho	327 1.0×	151 0.8×	157 1.0×	73 0.5×	76 0.9×	29	796
Khaled Saleh Al-Omoush	343 1.1×	160 0.9×	179 1.1×	175 1.2×	131 1.6×	34	837
Gian Luca Casali	312 1.0×	139 0.8×	117 0.7×	160 1.1×	102 1.2×	36	759
Sidhartha R. Das	410 1.3×	164 0.9×	107 0.7×	67 0.4×	89 1.1×	24	895
Domitilla Magni	345 1.1×	173 0.9×	104 0.7×	135 0.9×	63 0.8×	34	771
Priya Seetharaman	178 0.6×	140 0.8×	203 1.3×	182 1.2×	77 0.9×	46	857
Anjar Priyono	246 0.8×	131 0.7×	172 1.1×	103 0.7×	41 0.5×	44	746
Raffaello Balocco	299 0.9×	327 1.8×	111 0.7×	140 0.9×	123 1.5×	39	780

Countries citing papers authored by Yu-Shan Su

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Shan Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Shan 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 Yu-Shan Su. The network helps show where Yu-Shan Su may publish in the future.

Co-authorship network of co-authors of Yu-Shan Su

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