Tingting Cui

931 total citations · 1 hit paper
34 papers, 614 citations indexed

About

Tingting Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Tingting Cui has authored 34 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Tingting Cui's work include Cryptographic Implementations and Security (11 papers), Chaos-based Image/Signal Encryption (10 papers) and Coding theory and cryptography (7 papers). Tingting Cui is often cited by papers focused on Cryptographic Implementations and Security (11 papers), Chaos-based Image/Signal Encryption (10 papers) and Coding theory and cryptography (7 papers). Tingting Cui collaborates with scholars based in China, United States and Singapore. Tingting Cui's co-authors include Zuo‐Jun Max Shen, Yanfeng Ouyang, Robert Aboolian, Jie Shan, Jianya Gong, Yansen Su, Shunping Ji, Xingyi Zhang, Fan Cheng and Kejian Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Operations Research.

In The Last Decade

Tingting Cui

28 papers receiving 591 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reliable Facility Location Design Under the Risk of Disruptions

2010 361 citations Tingting Cui, Yanfeng Ouyang et al. Operations Research profile →

Peers

Tingting Cui

OBHRM

SM

IME

MIS

AI

Pedro Munari Brazil

Markus Sinnl Austria

Federico Perea Spain

Dong‐wan Tcha South Korea

Akash Tayal India

Ted K. Ralphs United States

Mansoor Davoodi Iran

Tom M. Cavalier United States

Fernando Paredes Chile

Wai-Kei Mak Taiwan

Pedro Munari Brazil

Tingting Cui

137 ×0.5

OBHRM

42 ×0.3

SM

661 ×4.5

IME

35 ×0.4

MIS

41 ×0.6

AI

Citations per year, relative to Tingting Cui Tingting Cui (= 1×) peers Pedro Munari

Countries citing papers authored by Tingting Cui

Since Specialization

Citations

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

Fields of papers citing papers by Tingting Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Cui. A scholar is included among the top collaborators of Tingting 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 Tingting Cui. Tingting Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Cui, Tingting, et al.. (2025). New General MDS Matrix Construction Method Towards Low Area. IACR Transactions on Symmetric Cryptology. 2025(3). 868–890.

2.

Huang, Yufei, et al.. (2024). CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models. 11817–11837. 3 indexed citations

3.

Jin, Weifeng, et al.. (2024). Research on location selection of electric vehicle charging facilities based on hybrid algorithm. 15. 79–79.

4.

Cui, Tingting, et al.. (2022). Related-Key Differential Attacks on Reduced-Round LBlock. Security and Communication Networks. 2022. 1–15. 1 indexed citations

5.

Pei, Tao, et al.. (2020). Improved Single-Key Attacks on 2-GOST. Security and Communication Networks. 2020. 1–10.

6.

Cui, Tingting, Shiyao Chen, Kai Fu, Meiqin Wang, & Keting Jia. (2020). New automatic tool for finding impossible differentials and zero-correlation linear approximations. Science China Information Sciences. 64(2). 7 indexed citations

7.

Zeng, Yingpei, et al.. (2020). MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols. Sensors. 20(18). 5194–5194. 18 indexed citations

8.

Cui, Tingting, et al.. (2019). Aerial infrared target recognition based on lightweight convolutional neural network. 11–11. 1 indexed citations

9.

Cui, Tingting, et al.. (2019). Space Target Super-resolution Based on Low-complex Convolutional Networks. 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). 1–5.

10.

Cheng, Fan, Tingting Cui, Yansen Su, Yunyun Niu, & Xingyi Zhang. (2018). A local information based multi-objective evolutionary algorithm for community detection in complex networks. Applied Soft Computing. 69. 357–367. 35 indexed citations

11.

Cui, Tingting, et al.. (2018). Statistical integral distinguisher with multi-structure and its application on AES-like ciphers. Cryptography and Communications. 10(5). 755–776. 3 indexed citations

12.

Banik, Subhadeep, Takanori Isobe, Tingting Cui, & Jian Guo. (2017). Some cryptanalytic results on Lizard. SHILAP Revista de lepidopterología. 5 indexed citations

13.

Cui, Tingting, et al.. (2017). Statistical integral attack on CAST-256 and IDEA. Cryptography and Communications. 10(1). 195–209. 1 indexed citations

14.

Banik, Subhadeep, et al.. (2017). Some cryptanalytic results on Lizard. IACR Transactions on Symmetric Cryptology. 82–98. 9 indexed citations

15.

Cui, Tingting, et al.. (2016). Improving algorithm 2 in multidimensional (zero-correlation) linear cryptanalysis using $$\chi ^2$$ χ 2 -method. Designs Codes and Cryptography. 81(3). 523–540. 1 indexed citations

16.

Cui, Tingting, Shunping Ji, Jie Shan, Jianya Gong, & Kejian Liu. (2016). Line-Based Registration of Panoramic Images and LiDAR Point Clouds for Mobile Mapping. Sensors. 17(1). 70–70. 37 indexed citations

17.

Liu, Liping, et al.. (2014). A Range-Free Multiple Target Localization Algorithm Using Compressive Sensing Theory in Wireless Sensor Networks. 51. 690–695. 12 indexed citations

18.

Cui, Tingting, Yanfeng Ouyang, & Zuo‐Jun Max Shen. (2010). Reliable Facility Location Design Under the Risk of Disruptions. Operations Research. 58(4-part-1). 998–1011. 361 indexed citations breakdown →

19.

Cui, Tingting, Yanfeng Ouyang, & Zuo‐Jun Max Shen. (2009). Reliable Facility Location Under Risk of Disruptions. Transportation Research Board 88th Annual MeetingTransportation Research Board. 1 indexed citations

20.

Cui, Tingting & Dorit S. Hochbaum. (2009). Complexity of some inverse shortest path lengths problems. Networks. 56(1). 20–29. 8 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.

Explore authors with similar magnitude of impact