Peiyan Dong

24 papers receiving 231 citations

Peers

Peiyan Dong
Comparison fields: 5 of 48
  • Hardware and Architecture 26
  • Computer Vision and Pattern Recognition 73
  • Artificial Intelligence 78
  • Media Technology 19
  • Signal Processing 19
Replace Sehoon Kim with:
Sehoon Kim United States
Linnan Wang United States
Coleman Hooper United States
Zheng Zhan United States
Yaohui Cai United States
Bin Cao Singapore
Marco Donato United States
Yury Nahshan Israel
Michael Figurnov Russia
Elad Hoffer Israel
Peiyan Dong relative to Sehoon Kim United States Sehoon Kim's profile →
Citations per field
00.5×3.8×
Sehoon Kim · 1×
Citations per year

Countries citing papers authored by Peiyan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Peiyan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peiyan Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peiyan Dong Line = papers co-authored together Peiyan Dong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202356
2 202035
3 202124
4 202415
5 202415
6 202311
7 202211
8 202010
9 202210
10 202110
11 20246
12 20226
13 20245
14 20224
15 20233
16 20233
17 20252
18 20222
19 20252
20 20241

About Peiyan Dong

Peiyan Dong is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology and Dermatology, having authored 25 papers that have together received 235 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (9 papers), Advanced Memory and Neural Computing (5 papers), Visual Attention and Saliency Detection (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Hardware and Architecture (26 citations), Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (78 citations), Media Technology (19 citations) and Signal Processing (19 citations). Peiyan Dong has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Yanzhi Wang, Zhengang Li, Zhenglun Kong, Mengshu Sun, Zhenman Fang, Alec Lu, Xin Meng, Xue Lin, Sheng Lin and Wei Niu. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems I Regular Papers and International Journal of Computer Vision.

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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