Jiafeng Xie

1.0k citations
69 papers · 683 indexed · h-index 16

Jiafeng Xie

63 papers receiving 661 citations

Peers

Jiafeng Xie
Comparison fields: 5 of 72
  • Artificial Intelligence 476
  • Information Systems 306
  • Hardware and Architecture 61
  • Computational Theory and Mathematics 87
  • Signal Processing 55
Replace Claudia Feregrino-Uribe with:
Claudia Feregrino-Uribe Mexico
Wenbin Chen China
René Cumplido Mexico
Paulo S. L. M. Barreto Brazil
Peter Schwabe Netherlands
Attila A. Yavuz United States
Chaowen Guan China
Medien Zeghid Tunisia
Honggang Hu China
Sujoy Sinha Roy Belgium
Jiafeng Xie relative to Claudia Feregrino-Uribe Mexico Claudia Feregrino-Uribe's profile →
Citations per field
00.5×2.6×
Claudia Feregrino-Uribe · 1×
Citations per year

Countries citing papers authored by Jiafeng Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jiafeng Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202416
4 20241
5 20240
6 20241
7 20232
8 20231
9 20234
10 202219
11 202012
12 201914
13 20196
14 20195
15 20191
16 20188
17
Improving Fast Segmentation With Teacher-student Learning
20184
18 20173
19 20177
20 201224

About Jiafeng Xie

Jiafeng Xie is a scholar working on Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 69 papers that have together received 683 indexed citations. Recurring topics across this work include Coding theory and cryptography (49 papers), Cryptography and Residue Arithmetic (39 papers), Cryptography and Data Security (35 papers), Cryptographic Implementations and Security (20 papers), Quantum Computing Algorithms and Architecture (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Low-power high-performance VLSI design (3 papers) and Numerical Methods and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (476 citations), Information Systems (306 citations) and Hardware and Architecture (61 citations). Jiafeng Xie has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Chiou‐Yng Lee, Pramod Kumar Meher, Anissa Sghaier, Medien Zeghid, Jeng‐Shyang Pan, Zhi‐Hong Mao, Ujjwal Guin, Mehran Mozaffari Kermani, Reza Azarderakhsh and Guanzheng Tan. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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