Shanshan Tu

186 total papers · 9.2k total citations
136 papers, 5.5k citations indexed

About

Shanshan Tu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Shanshan Tu has authored 136 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 49 papers in Computer Networks and Communications and 39 papers in Electrical and Electronic Engineering. Recurrent topics in Shanshan Tu's work include IoT and Edge/Fog Computing (19 papers), Cryptography and Data Security (16 papers) and Blockchain Technology Applications and Security (15 papers). Shanshan Tu is often cited by papers focused on IoT and Edge/Fog Computing (19 papers), Cryptography and Data Security (16 papers) and Blockchain Technology Applications and Security (15 papers). Shanshan Tu collaborates with scholars based in China, Pakistan and Australia. Shanshan Tu's co-authors include Obaid Ur Rehman, Sadaqat Ur Rehman, Jawad Ahmad, Tao Ye, Muhammad Waqas, Sadaqat Ur Rehman, Zahid Halim, Azhar Imran, Ghulam Abbas and Chuangbai Xiao and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shanshan Tu

125 papers receiving 5.2k citations

Hit Papers

A person centered work ps... 1996 2026 2006 2016 1996 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Shanshan Tu 678 663 470 442 348 136 5.5k
Tarek Gaber 455 0.7× 753 1.1× 259 0.6× 354 0.8× 214 0.6× 117 3.0k
Faisal Saeed 650 1.0× 881 1.3× 412 0.9× 419 0.9× 233 0.7× 194 3.0k
Dan Chen 789 1.2× 424 0.6× 217 0.5× 690 1.6× 432 1.2× 234 4.5k
Kathiravan Srinivasan 559 0.8× 879 1.3× 329 0.7× 363 0.8× 171 0.5× 171 3.6k
Isabel de la Torre Díez 630 0.9× 1.0k 1.5× 261 0.6× 716 1.6× 456 1.3× 319 7.9k
Stuart E. Dreyfus 745 1.1× 1.4k 2.1× 785 1.7× 272 0.6× 154 0.4× 95 10.6k
Claude Sammut 326 0.5× 1.7k 2.6× 346 0.7× 419 0.9× 250 0.7× 112 4.8k
Dhiya Al‐Jumeily 401 0.6× 768 1.2× 265 0.6× 340 0.8× 120 0.3× 228 3.3k
Joseph Lee Rodgers 289 0.4× 750 1.1× 422 0.9× 275 0.6× 385 1.1× 177 9.8k
Muhammad Fazal Ijaz 652 1.0× 1.3k 2.0× 312 0.7× 468 1.1× 166 0.5× 96 4.4k

Countries citing papers authored by Shanshan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Tu

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