Tie Cui

20 total papers · 414 total citations
11 papers, 261 citations indexed

About

Tie Cui is a scholar working on Public Administration, Marketing and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Tie Cui has authored 11 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Administration, 6 papers in Marketing and 5 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Tie Cui's work include Public Policy and Administration Research (7 papers), Service and Product Innovation (6 papers) and Innovative Approaches in Technology and Social Development (3 papers). Tie Cui is often cited by papers focused on Public Policy and Administration Research (7 papers), Service and Product Innovation (6 papers) and Innovative Approaches in Technology and Social Development (3 papers). Tie Cui collaborates with scholars based in United Kingdom, China and Italy. Tie Cui's co-authors include Stephen P. Osborne, Madeline Powell, Kirsty Strokosch, Rui Mu, Greta Nasi, Maria Cucciniello and CH Chui and has published in prestigious journals such as Public Administration Review, Public Administration and Public Management Review.

In The Last Decade

Tie Cui

10 papers receiving 253 citations

Hit Papers

Value Creation in the Pub... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Tie Cui 125 89 66 59 57 11 261
Russ Glennon 62 0.5× 43 0.5× 85 1.3× 70 1.2× 39 0.7× 12 252
Sanna Tuurnas 69 0.6× 64 0.7× 92 1.4× 36 0.6× 23 0.4× 16 232
Celine Chew 51 0.4× 44 0.5× 69 1.0× 86 1.5× 88 1.5× 16 275
Markus Göbel 36 0.3× 39 0.4× 22 0.3× 73 1.2× 113 2.0× 17 274
Ellen Haustein 92 0.7× 17 0.2× 54 0.8× 22 0.4× 163 2.9× 16 316
Ronnie Korosec 14 0.1× 145 1.6× 29 0.4× 79 1.3× 58 1.0× 13 285
R.A. Werkman 22 0.2× 41 0.5× 15 0.2× 134 2.3× 134 2.4× 16 316
J. Warren Smith 35 0.3× 18 0.2× 15 0.2× 29 0.5× 142 2.5× 14 281
Remco S. Mannak 14 0.1× 32 0.4× 118 1.8× 39 0.7× 101 1.8× 11 290
Carlos E. Kruytbosch 15 0.1× 53 0.6× 26 0.4× 83 1.4× 141 2.5× 8 313

Countries citing papers authored by Tie Cui

Since Specialization
Citations

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

Fields of papers citing papers by Tie Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie Cui

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