Runpeng Cui

1.2k total citations · 1 hit paper
9 papers, 730 citations indexed

About

Runpeng Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Runpeng Cui has authored 9 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Runpeng Cui's work include Human Pose and Action Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Runpeng Cui is often cited by papers focused on Human Pose and Action Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Runpeng Cui collaborates with scholars based in China and United States. Runpeng Cui's co-authors include Changshui Zhang, Hu Liu, Hu Liu, Kun Fu, Junqi Jin, Fei Sha, Guorui Zhou, Weijie Bian, Ying Fan and Xiaoqiang Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and IEEE Transactions on Multimedia.

In The Last Decade

Runpeng Cui

9 papers receiving 691 citations

Hit Papers

A Deep Neural Framework for Continuous Sign Language Reco... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runpeng Cui China 5 498 469 321 214 117 9 730
E. Kiran Kumar India 14 309 0.6× 303 0.6× 145 0.5× 192 0.9× 65 0.6× 30 511
Hamzah Luqman Saudi Arabia 14 375 0.8× 201 0.4× 270 0.8× 156 0.7× 121 1.0× 42 553
Razieh Rastgoo Iran 10 683 1.4× 370 0.8× 366 1.1× 306 1.4× 66 0.6× 33 792
Gaolin Fang China 12 476 1.0× 213 0.5× 282 0.9× 197 0.9× 53 0.5× 17 528
Ankita Wadhawan India 8 338 0.7× 144 0.3× 230 0.7× 160 0.7× 43 0.4× 16 483
M. Teja Kiran Kumar India 10 212 0.4× 226 0.5× 98 0.3× 137 0.6× 50 0.4× 18 362
Lionel Pigou Belgium 3 226 0.5× 256 0.5× 67 0.2× 133 0.6× 73 0.6× 3 379
Philippe Dreuw Germany 17 370 0.7× 475 1.0× 247 0.8× 78 0.4× 216 1.8× 26 739
Sylvie C. W. Ong Singapore 5 385 0.8× 238 0.5× 244 0.8× 103 0.5× 118 1.0× 8 559

Countries citing papers authored by Runpeng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Runpeng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runpeng Cui

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

All Works

9 of 9 papers shown
1.
Cui, Runpeng, et al.. (2021). Multiplicative Attention Mechanism for Multi-horizon Time Series Forecasting. 1–6. 4 indexed citations
2.
Cui, Runpeng, et al.. (2019). Deep Gesture Video Generation With Learning on Regions of Interest. IEEE Transactions on Multimedia. 22(10). 2551–2563. 22 indexed citations
3.
Cui, Runpeng, Hu Liu, & Changshui Zhang. (2019). A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training. IEEE Transactions on Multimedia. 21(7). 1880–1891. 271 indexed citations breakdown →
4.
Zhou, Guorui, Ying Fan, Runpeng Cui, et al.. (2018). Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 74 indexed citations
5.
Zhou, Guorui, Ying Fan, Runpeng Cui, et al.. (2017). Rocket Launching: A unified and effecient framework for training well-behaved light net. arXiv (Cornell University). 2 indexed citations
6.
Cui, Runpeng, Hu Liu, & Changshui Zhang. (2017). Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization. 1610–1618. 228 indexed citations
7.
Fu, Kun, Junqi Jin, Runpeng Cui, Fei Sha, & Changshui Zhang. (2016). Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(12). 2321–2334. 125 indexed citations
8.
Cui, Runpeng, et al.. (2015). A Real-Time Hand Pose Estimation System with Retrieval. 1738–1744. 3 indexed citations
9.
Cui, Runpeng, et al.. (2015). Tree-based compact hashing for approximate nearest neighbor search. Neurocomputing. 166. 271–281. 1 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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