Jing Ye

1.5k citations
95 papers · 1.1k indexed · h-index 19

Impact in

Papers in

Jing Ye

86 papers receiving 1.0k citations

Peers

Jing Ye
Comparison fields: 5 of 129
  • Hardware and Architecture 454
  • Electrical and Electronic Engineering 466
  • Computer Vision and Pattern Recognition 161
  • Artificial Intelligence 228
  • Cellular and Molecular Neuroscience 130
Replace Ahmad O. Aseeri with:
Ahmad O. Aseeri Saudi Arabia
B. Naresh Kumar Reddy India
Ruifeng Guo China
Deji Chen United States
Tobias Blickle Switzerland
Xiaofeng Zou China
Michael Andersen United States
Shuguo Li China
Xingjian Li China
Jing Ye relative to Ahmad O. Aseeri Saudi Arabia Ahmad O. Aseeri's profile →
Citations per field
00.5×10×20×30×42×
Ahmad O. Aseeri · 1×
Citations per year

Countries citing papers authored by Jing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jing Ye, 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 Jing Ye Line = papers co-authored together Jing Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20244
5 20242
6 20231
7 202232
8 20228
9 20213
10 20206
11
Two-factor ( biometric and password) authentication key exchange on lattice based on key consensus
20201
12 20208
13 202025
14 201920
15 201828
16 20183
17 2018132
18 201822
19 201012
20
Development of Power Fault Waveform Recurrence and Analysis System
20061

About Jing Ye

Jing Ye is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience and Software, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (36 papers), Physical Unclonable Functions (PUFs) and Hardware Security (34 papers), VLSI and Analog Circuit Testing (21 papers), Neuroscience and Neural Engineering (14 papers), Adversarial Robustness in Machine Learning (11 papers), Radiation Effects in Electronics (10 papers), Cryptography and Data Security (7 papers) and Low-power high-performance VLSI design (7 papers). The work is most often cited by research in Hardware and Architecture (454 citations), Electrical and Electronic Engineering (466 citations), Computer Vision and Pattern Recognition (161 citations), Artificial Intelligence (228 citations) and Cellular and Molecular Neuroscience (130 citations). Jing Ye has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaowei Li, Yu Hu, Huawei Li, Shice Liu, Qiang Hu, Xuezhi Zhang, Ninghui Sun, Xing Hu, Jun Sha and Yongsheng Chen. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Algal Research, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Access and IEEE Transactions on Circuits and Systems I Regular Papers.

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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