Ting Cao

1.1k total citations
41 papers, 547 citations indexed

About

Ting Cao is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting Cao has authored 41 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 13 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting Cao's work include Cloud Computing and Resource Management (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Advanced Data Storage Technologies (7 papers). Ting Cao is often cited by papers focused on Cloud Computing and Resource Management (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Advanced Data Storage Technologies (7 papers). Ting Cao collaborates with scholars based in China, United States and Australia. Ting Cao's co-authors include Stephen M. Blackburn, Kathryn S. McKinley, Huaijun Wang, Junhuai Li, Yunxin Liu, Ningxin Zheng, Yuqing Yang, Kan Wang, Xiao Qin and Ling Tian and has published in prestigious journals such as Communications of the ACM, IEEE Access and Measurement.

In The Last Decade

Ting Cao

34 papers receiving 527 citations

Peers

Ting Cao
Yang Hu China
Hokeun Kim United States
Fathi Amsaad United States
Kerstin Eder United Kingdom
Farzad Samie Germany
Dong Yin China
Ting Cao
Citations per year, relative to Ting Cao Ting Cao (= 1×) peers Nikolaos Voros

Countries citing papers authored by Ting Cao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Cao. A scholar is included among the top collaborators of Ting Cao 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 Ting Cao. Ting Cao 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.
Cao, Ting, et al.. (2025). Automatic detection on wear features of aero-engine honeycomb sealing ring. Measurement. 250. 117138–117138.
3.
Cao, Ting, et al.. (2024). VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. 8181–8196. 1 indexed citations
4.
Liu, Sheng, et al.. (2024). Research on Turnout Fault Diagnosis Model Based on GADF-CNN-MAML. 1057–1062.
5.
Liu, Sheng, et al.. (2024). A BiFPN-SECA detection network for foreign objects on top of railway freight vehicles. Signal Image and Video Processing. 18(12). 9027–9035. 1 indexed citations
6.
Tang, Chen, Huiqiang Jiang, Jiahang Xu, et al.. (2023). ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. 5806–5817. 10 indexed citations
7.
Jiang, Huiqiang, Li Zhang, Yu Wu, et al.. (2023). Accurate and Structured Pruning for Efficient Automatic Speech Recognition. 4104–4108. 4 indexed citations
8.
Wang, Ye, et al.. (2022). Performance modeling for I/O‐intensive applications on virtual machines. Concurrency and Computation Practice and Experience. 34(10). 6 indexed citations
9.
Cao, Ting, et al.. (2021). To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. 3. 21–37. 8 indexed citations
10.
Cao, Ting, et al.. (2021). Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers. Big Data Research. 27. 100306–100306. 34 indexed citations
11.
Li, Junhuai, et al.. (2021). The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm. IEEE Access. 9. 31213–31224. 8 indexed citations
12.
Cao, Ting, et al.. (2020). Security-Aware Energy Management in Clouds. 4. 284–293. 3 indexed citations
13.
Cao, Ting, et al.. (2020). A popularity-aware reconstruction technique in erasure-coded storage systems. Journal of Parallel and Distributed Computing. 146. 122–138. 5 indexed citations
14.
Li, Junhuai, et al.. (2020). Dance Emotion Recognition Based on Laban Motion Analysis Using Convolutional Neural Network and Long Short-Term Memory. IEEE Access. 8. 124928–124938. 25 indexed citations
15.
Wang, Chenxi, Huimin Cui, Ting Cao, et al.. (2019). Panthera: holistic memory management for big data processing over hybrid memories. 347–362. 34 indexed citations
16.
Li, Junhuai, et al.. (2019). Optimal Feature Selection for Activity Recognition based on Ant Colony Algorithm. 53. 2356–2362. 6 indexed citations
17.
Wang, Chenxi, et al.. (2018). Heterogeneous Memory Programming Framework Based on Spark for Big Data Processing. 55(2). 246. 2 indexed citations
18.
Cao, Ting, et al.. (2016). Portable performance on asymmetric multicore processors. ANU Open Research (Australian National University). 24–35. 16 indexed citations
19.
Cao, Ting, et al.. (2012). The yin and yang of power and performance for asymmetric hardware and managed software. ACM SIGARCH Computer Architecture News. 40(3). 225–236. 62 indexed citations
20.
Esmaeilzadeh, Hadi, Ting Cao, Xi Yang, Stephen M. Blackburn, & Kathryn S. McKinley. (2012). Looking back and looking forward. Communications of the ACM. 55(7). 105–114. 24 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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