Da-Cheng Juan

47 papers receiving 812 citations

Peers

Da-Cheng Juan
Comparison fields: 5 of 76
  • Artificial Intelligence 349
  • Electrical and Electronic Engineering 326
  • Hardware and Architecture 234
  • Computer Networks and Communications 175
  • Computer Vision and Pattern Recognition 169
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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
#WorkIndexed citations
1 50
2
HyperGrid Transformers: Towards A Single Model for Multiple Tasks
7
3
Synthesizer: Rethinking Self-Attention for Transformer Models
5
4 8
5
Sparse Sinkhorn Attention
14
6 28
7
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
12
8 62
9 65
10 89
11
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures.
16
12
COCO-GAN: Conditional Coordinate Generative Adversarial Network
2
13
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
17
14 1
15 1
16 33
17 9
18 36
19 23
20 17

About Da-Cheng Juan

Da-Cheng Juan is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 844 indexed citations. Recurring topics across this 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). The work is most often cited by research in Hardware and Architecture (234 citations), Artificial Intelligence (349 citations) and Computer Vision and Pattern Recognition (169 citations). Da-Cheng Juan has collaborated with scholars based in United States, Taiwan and Canada. Frequent 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. Their work appears in 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.

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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