Shanshan Tu

3.9k total citations
135 papers, 2.2k 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 135 papers receiving a total of 2.2k 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 Muhammad Waqas, Sadaqat Ur Rehman, Obaid Ur Rehman, Zahid Halim, Azhar Imran, Chuangbai Xiao, Ghulam Abbas, Ziaul Haq Abbas, Jahanzaib Latif and Yongfeng Huang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shanshan Tu

124 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shanshan Tu China 27 682 585 460 405 312 135 2.2k
Roobaea Alroobaea Saudi Arabia 27 666 1.0× 661 1.1× 304 0.7× 508 1.3× 283 0.9× 194 2.3k
Bhisham Sharma India 27 875 1.3× 554 0.9× 451 1.0× 770 1.9× 350 1.1× 106 2.2k
G. Ramkumar India 29 409 0.6× 407 0.7× 535 1.2× 267 0.7× 343 1.1× 200 2.4k
Gyanendra Prasad Joshi South Korea 25 723 1.1× 458 0.8× 708 1.5× 331 0.8× 446 1.4× 159 2.6k
Muhammad Rizwan Pakistan 24 696 1.0× 620 1.1× 320 0.7× 407 1.0× 217 0.7× 75 1.9k
Zeng Zeng China 24 485 0.7× 507 0.9× 336 0.7× 328 0.8× 399 1.3× 150 2.2k
Weishan Zhang China 27 776 1.1× 1.2k 2.0× 374 0.8× 772 1.9× 579 1.9× 234 3.1k
Yongqiang Cheng China 24 308 0.5× 410 0.7× 371 0.8× 287 0.7× 381 1.2× 125 2.0k
R. Varatharajan India 24 659 1.0× 489 0.8× 386 0.8× 460 1.1× 324 1.0× 54 2.3k
Mehdi Gheisari China 24 648 1.0× 567 1.0× 340 0.7× 382 0.9× 271 0.9× 104 1.9k

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

20 of 20 papers shown
1.
Badshah, Akhtar, Ghulam Abbas, Muhammad Waqas, et al.. (2024). USAF-IoD: Ultralightweight and Secure Authenticated Key Agreement Framework for Internet of Drones Environment. IEEE Transactions on Vehicular Technology. 73(8). 10963–10977. 16 indexed citations
2.
3.
Tu, Shanshan, et al.. (2024). Intrusion Detection in IIoT: A Federated Approach Using TCN-GRU and Lookahead Optimization. 194–199. 1 indexed citations
4.
Tu, Shanshan, et al.. (2024). Safety and Efficacy of the Erbium Laser in Debonding Dental Accessories: A Narrative Review. Photobiomodulation Photomedicine and Laser Surgery. 42(5). 327–338. 1 indexed citations
5.
Waqas, Muhammad, et al.. (2023). Hybrid Edge-Cloud Collaborator Resource Scheduling Approach Based on Deep Reinforcement Learning and Multiobjective Optimization. IEEE Transactions on Computers. 73(1). 192–205. 8 indexed citations
6.
Gong, Bei, et al.. (2023). LCDMA: Lightweight Cross-Domain Mutual Identity Authentication Scheme for Internet of Things. IEEE Internet of Things Journal. 10(14). 12590–12602. 37 indexed citations
7.
Tu, Shanshan, et al.. (2023). Cyberattacks and Security of Cloud Computing: A Complete Guideline. Symmetry. 15(11). 1981–1981. 31 indexed citations
8.
Fang, Chao, Zhaoming Hu, Shanshan Tu, et al.. (2023). DRL-Driven Joint Task Offloading and Resource Allocation for Energy-Efficient Content Delivery in Cloud-Edge Cooperation Networks. IEEE Transactions on Vehicular Technology. 72(12). 16195–16207. 35 indexed citations
9.
Gong, Bei, et al.. (2023). Many-Objective Optimization Based Intrusion Detection for in-Vehicle Network Security. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15051–15065. 16 indexed citations
10.
Ji, Bin, Li Chang, Shanshan Tu, Dandan Zhang, & Lili Li. (2023). Design of Load Resource Modeling and Price Mechanism for New Power System Balance. 40. 1020–1026. 1 indexed citations
11.
Latif, Jahanzaib, et al.. (2023). Enhanced Nature Inspired-Support Vector Machine for Glaucoma Detection. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 1151–1172. 14 indexed citations
12.
Halim, Zahid, et al.. (2023). Emotion detection using convolutional neural network and long short-term memory: a deep multimodal framework. Multimedia Tools and Applications. 83(18). 53497–53530. 7 indexed citations
13.
Mir, Talha, Muhammad Waqas, Shanshan Tu, et al.. (2022). Relay Hybrid Precoding in UAV-Assisted Wideband Millimeter-Wave Massive MIMO System. IEEE Transactions on Wireless Communications. 21(9). 7040–7054. 13 indexed citations
14.
Abbas, Ghulam, et al.. (2021). EEMDS: An Effective Emergency Message Dissemination Scheme for Urban VANETs. Sensors. 21(5). 1588–1588. 30 indexed citations
15.
Latif, Jahanzaib, et al.. (2021). Digital Forensics Use Case for Glaucoma Detection Using Transfer Learning Based on Deep Convolutional Neural Networks. Security and Communication Networks. 2021. 1–13. 10 indexed citations
16.
Tu, Shanshan, Farman Ali, Ammar Armghan, et al.. (2021). Improvement of Traveling Salesman Problem Solution Using Hybrid Algorithm Based on Best-Worst Ant System and Particle Swarm Optimization. Applied Sciences. 11(11). 4780–4780. 17 indexed citations
17.
Tu, Shanshan, et al.. (2020). A Novel Quantum Inspired Particle Swarm Optimization Algorithm for Electromagnetic Applications. IEEE Access. 8. 21909–21916. 42 indexed citations
18.
Abbas, Ziaul Haq, et al.. (2020). A Novel Cross-Layer V2V Architecture for Direction-Aware Cooperative Collision Avoidance. Electronics. 9(7). 1112–1112. 9 indexed citations
19.
Aamir, Muhammad, Shanshan Tu, Majid Tolouei‐Rad, Khaled Giasin, & Ana Vafadar. (2020). Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy Logic Approach. Materials. 13(3). 680–680. 60 indexed citations
20.
Tu, Shanshan, et al.. (2016). Access Control System Based Cloudlet and ABE on Mobile Cloud. 網際網路技術學刊. 17(7). 1443–1451. 3 indexed citations

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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