Dongqi Cai

662 total citations
21 papers, 359 citations indexed

About

Dongqi Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Dongqi Cai has authored 21 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Dongqi Cai's work include Privacy-Preserving Technologies in Data (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Dongqi Cai is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Dongqi Cai collaborates with scholars based in China, United States and Hong Kong. Dongqi Cai's co-authors include Yurong Chen, Shandong Wang, Anbang Yao, Ping Hu, Mengwei Xu, Shangguang Wang, Ping Hu, Felix Xiaozhu Lin, Su Zhou and Chen Zhu and has published in prestigious journals such as Nature Communications, ACS Applied Materials & Interfaces and ACM Computing Surveys.

In The Last Decade

Dongqi Cai

20 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongqi Cai China 9 216 150 114 34 32 21 359
Jianming Wu Japan 11 160 0.7× 99 0.7× 70 0.6× 44 1.3× 19 0.6× 29 249
Wenting Zhao China 9 112 0.5× 35 0.2× 105 0.9× 9 0.3× 6 0.2× 32 283
Syaheerah Lebai Lutfi Malaysia 10 171 0.8× 75 0.5× 106 0.9× 76 2.2× 14 0.4× 42 342
Shuhang Wu China 4 190 0.9× 168 1.1× 63 0.6× 42 1.2× 18 0.6× 12 293
Chaabane Djéraba France 9 205 0.9× 39 0.3× 91 0.8× 40 1.2× 19 0.6× 19 274
Amanjot Kaur India 9 122 0.6× 113 0.8× 87 0.8× 19 0.6× 47 1.5× 40 307
Gengming Zhu China 7 164 0.8× 33 0.2× 63 0.6× 50 1.5× 63 2.0× 19 280
Xingyu Cai United States 10 40 0.2× 62 0.4× 184 1.6× 91 2.7× 12 0.4× 35 371
Yifei Zhang China 10 123 0.6× 33 0.2× 235 2.1× 20 0.6× 7 0.2× 32 420

Countries citing papers authored by Dongqi Cai

Since Specialization
Citations

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

Fields of papers citing papers by Dongqi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongqi Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Dongqi Cai. A scholar is included among the top collaborators of Dongqi Cai 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 Dongqi Cai. Dongqi Cai 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.
Cai, Dongqi, et al.. (2025). Ubiquitous memory augmentation via mobile multimodal embedding system. Nature Communications. 16(1). 5339–5339. 2 indexed citations
2.
Li, Xiang, Dongqi Cai, Fangming Liu, et al.. (2025). Demystifying Small Language Models for Edge Deployment. 14747–14764. 1 indexed citations
3.
Cai, Dongqi, et al.. (2024). Mobile Foundation Model as Firmware. 279–295. 17 indexed citations
4.
5.
Xu, Mengwei, et al.. (2024). Resource-efficient Algorithms and Systems of Foundation Models: A Survey. ACM Computing Surveys. 57(5). 1–39. 10 indexed citations
6.
Cai, Dongqi, et al.. (2024). Large Language Models on Mobile Devices: Measurements, Analysis, and Insights. 1–6. 7 indexed citations
7.
Cai, Dongqi, et al.. (2024). FedRDMA. 126–133. 6 indexed citations
8.
Cai, Dongqi, et al.. (2023). Federated Few-Shot Learning for Mobile NLP. arXiv (Cornell University). 1–17. 12 indexed citations
9.
Cai, Dongqi, et al.. (2023). FedAdapter: Efficient Federated Learning for Mobile NLP. 27–28. 3 indexed citations
10.
Cai, Dongqi, et al.. (2023). Efficient Federated Learning for Modern NLP. 1–16. 30 indexed citations
11.
Cai, Dongqi, Tao Fan, Yan Kang, et al.. (2022). Accelerating Vertical Federated Learning. IEEE Transactions on Big Data. 10(6). 752–760. 4 indexed citations
12.
Cai, Dongqi, et al.. (2022). An Electrochromic Ag-Decorated WO3−x Film with Adjustable Defect States for Electrochemical Surface-Enhanced Raman Spectroscopy. Nanomaterials. 12(10). 1637–1637. 3 indexed citations
13.
Cai, Dongqi, et al.. (2021). Towards Ubiquitous Learning. 31–36. 8 indexed citations
14.
Cai, Dongqi, et al.. (2020). Implementation of an E-Payment Security Evaluation System Based on Quantum Blind Computing. International Journal of Theoretical Physics. 59(9). 2757–2772. 8 indexed citations
15.
You, Chenghang, Xiaohong Gao, Qingqing Wang, et al.. (2019). Rechargeable Zinc–Air Battery with Ultrahigh Power Density Based on Uniform N, Co Codoped Carbon Nanospheres. ACS Applied Materials & Interfaces. 11(47). 44153–44160. 22 indexed citations
16.
Zhou, Su, Chen Zhu, Yinpeng Dong, et al.. (2018). Learning Visual Knowledge Memory Networks for Visual Question Answering. 7736–7745. 42 indexed citations
17.
Hu, Ping, Dongqi Cai, Shandong Wang, Anbang Yao, & Yurong Chen. (2017). Learning supervised scoring ensemble for emotion recognition in the wild. 553–560. 104 indexed citations
18.
Yao, Anbang, et al.. (2016). HoloNet: towards robust emotion recognition in the wild. 472–478. 67 indexed citations
19.
Cai, Dongqi, Kai Liu, & Fei Su. (2015). Local metric learning for EEG-based personal identification. 842–846. 5 indexed citations
20.
Cai, Dongqi, Pengyu Li, Fei Su, & Zhicheng Zhao. (2014). An adaptive symmetry detection algorithm based on local features. 478–481. 7 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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