Da-Cheng Juan

3.4k total citations
48 papers, 844 citations indexed

About

Da-Cheng Juan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Da-Cheng Juan has authored 48 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 22 papers in Electrical and Electronic Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Da-Cheng Juan's work include Low-power high-performance VLSI design (15 papers), VLSI and FPGA Design Techniques (11 papers) and Parallel Computing and Optimization Techniques (10 papers). Da-Cheng Juan is often cited by papers focused on Low-power high-performance VLSI design (15 papers), VLSI and FPGA Design Techniques (11 papers) and Parallel Computing and Optimization Techniques (10 papers). Da-Cheng Juan collaborates with scholars based in United States, Taiwan and Canada. Da-Cheng Juan's co-authors include Diana Marculescu, Siddharth Garg, Andrew McCallum, Trapit Bansal, Sujith Ravi, Yu-Ting Chen, Wei Wei, Wei Wei, Chieh Hubert Lin and Paul Bogdan and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Microelectronics Reliability.

In The Last Decade

Da-Cheng Juan

47 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da-Cheng Juan United States 18 349 326 234 175 169 48 844
Bill Lin United States 15 327 0.9× 242 0.7× 163 0.7× 130 0.7× 46 0.3× 72 700
Jason Clemons United States 12 166 0.5× 422 1.3× 267 1.1× 172 1.0× 301 1.8× 21 758
Pascal Benoit France 17 153 0.4× 353 1.1× 446 1.9× 346 2.0× 84 0.5× 104 781
Ebrahim M. Songhori United States 11 465 1.3× 302 0.9× 141 0.6× 111 0.6× 83 0.5× 23 851
Bor-Yiing Su United States 9 473 1.4× 171 0.5× 300 1.3× 394 2.3× 310 1.8× 18 973
Michel A. Kinsy United States 17 151 0.4× 319 1.0× 426 1.8× 434 2.5× 56 0.3× 76 765
J.G. Delgado-Frias United States 17 200 0.6× 623 1.9× 332 1.4× 323 1.8× 69 0.4× 143 1.0k
Sudarshan Srinivasan United States 11 243 0.7× 297 0.9× 356 1.5× 489 2.8× 164 1.0× 35 911
Hadi Shahriar Shahhoseini Iran 16 156 0.4× 151 0.5× 166 0.7× 292 1.7× 66 0.4× 92 579

Countries citing papers authored by Da-Cheng Juan

Since Specialization
Citations

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

Fields of papers citing papers by Da-Cheng Juan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da-Cheng Juan. 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 Da-Cheng Juan. The network helps show where Da-Cheng Juan may publish in the future.

Co-authorship network of co-authors of Da-Cheng Juan

This figure shows the co-authorship network connecting the top 25 collaborators of Da-Cheng Juan. A scholar is included among the top collaborators of Da-Cheng Juan 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 Da-Cheng Juan. Da-Cheng Juan 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.
Gao, Luyu, Zhuyun Dai, Panupong Pasupat, et al.. (2023). RARR: Researching and Revising What Language Models Say, Using Language Models. 16477–16508. 50 indexed citations
2.
Tay, Yi, Zhe Zhao, Dara Bahri, Donald Metzler, & Da-Cheng Juan. (2021). HyperGrid Transformers: Towards A Single Model for Multiple Tasks. International Conference on Learning Representations. 7 indexed citations
3.
Tay, Yi, et al.. (2021). Synthesizer: Rethinking Self-Attention for Transformer Models. International Conference on Machine Learning. 10183–10192. 5 indexed citations
4.
Juan, Da-Cheng, Chun-Sung Ferng, Allan Heydon, et al.. (2021). Neural Structured Learning: Training Neural Networks with Structured Signals. 1150–1153. 8 indexed citations
5.
Tay, Yi, Dara Bahri, Yang Liu, Donald Metzler, & Da-Cheng Juan. (2020). Sparse Sinkhorn Attention. International Conference on Machine Learning. 1. 9438–9447. 14 indexed citations
6.
Zhu, Ming, et al.. (2020). Question Answering with Long Multiple-Span Answers. 3840–3849. 28 indexed citations
7.
Chen, Hung‐Jen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, & Min Sun. (2020). Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization. Neural Information Processing Systems. 33. 17466–17477. 12 indexed citations
8.
Cheng, Minhao, et al.. (2019). On the Robustness of Self-Attentive Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1520–1529. 62 indexed citations
9.
Lin, Chieh Hubert, et al.. (2019). COCO-GAN: Generation by Parts via Conditional Coordinating. 4511–4520. 65 indexed citations
10.
Bansal, Trapit, Da-Cheng Juan, Sujith Ravi, & Andrew McCallum. (2019). A2N: Attending to Neighbors for Knowledge Graph Inference. 4387–4392. 89 indexed citations
11.
Dong, Jin‐Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, & Min Sun. (2018). PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures.. International Conference on Learning Representations. 16 indexed citations
12.
Lin, Chieh Hubert, et al.. (2018). COCO-GAN: Conditional Coordinate Generative Adversarial Network. 2 indexed citations
13.
Juan, Da-Cheng, et al.. (2017). NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. Asian Conference on Machine Learning. 622–637. 17 indexed citations
14.
Juan, Da-Cheng, et al.. (2017). M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. 341–350. 1 indexed citations
15.
Liu, Jinglan, Da-Cheng Juan, & Yiyu Shi. (2015). Effective CAD Research in the Sea of Papers. International Conference on Computer Aided Design. 781–785. 1 indexed citations
16.
17.
Juan, Da-Cheng, et al.. (2012). Statistical thermal modeling and optimization considering leakage power variations. Design, Automation, and Test in Europe. 605–610. 9 indexed citations
18.
Juan, Da-Cheng, et al.. (2012). A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors. 597–602. 36 indexed citations
19.
Juan, Da-Cheng, Sanjay Garg, & Diana Marculescu. (2011). Statistical thermal evaluation and mitigation techniques for 3D Chip-Multiprocessors in the presence of process variations. 1–6. 23 indexed citations
20.
Chen, Yu-Ting, et al.. (2007). An efficient wake-up schedule during power mode transition considering spurious glitches phenomenon. International Conference on Computer Aided Design. 779–782. 17 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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Breakdown of academic impact, for papers by Bill Lin Breakdown of academic impact, for papers by Jason Clemons Breakdown of academic impact, for papers by Pascal Benoit Breakdown of academic impact, for papers by Ebrahim M. Songhori Breakdown of academic impact, for papers by Bor-Yiing Su Breakdown of academic impact, for papers by Michel A. Kinsy Breakdown of academic impact, for papers by J.G. Delgado-Frias Breakdown of academic impact, for papers by Sudarshan Srinivasan Breakdown of academic impact, for papers by Hadi Shahriar Shahhoseini
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