Tingyuan Nie

713 citations
39 papers · 532 indexed · h-index 10

Tingyuan Nie

33 papers receiving 483 citations

Peers

Tingyuan Nie
Comparison fields: 5 of 73
  • Media Technology 107
  • Computer Vision and Pattern Recognition 209
  • Statistical and Nonlinear Physics 111
  • Hardware and Architecture 38
  • Signal Processing 54
Replace Weiqing Huang with:
Weiqing Huang China
Erxue Min China
Wen-Yen Chen United States
Barry Drake United States
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Citations per year

Countries citing papers authored by Tingyuan Nie

Since Specialization
Citations

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

Fields of papers citing papers by Tingyuan Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20231
5 20232
6 20221
7 20227
8 20220
9 20203
10 20190
11
Interest Point Detection Using a Composite Index of Complex Networks.
20181
12 20182
13 2017112
14
Palmprint Feature Extraction based on Multi-wavelet and Complex network.
20174
15
Face Recognition Based on LDA and Improved Pairwise-Constrained Multiple Metric Learning Method.
20164
16
SCALE-INVARIANT INTEREST POINT DETECTION IN IMAGES BASED ON COMPLEX NETWORK ANALYSIS
20161
17
Palmprint Feature Extraction Based on Curvelet Transform.
201511
18
A Robust Blind Image Watermarking Scheme Based on Classified Vector Quantization.
20154
19
Face Recognition Based on Multi-Wavelet and Sparse Representation
20147
20 20131

About Tingyuan Nie

Tingyuan Nie is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 39 papers that have together received 532 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (9 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers), VLSI and Analog Circuit Testing (8 papers), Face and Expression Recognition (7 papers), Complex Network Analysis Techniques (6 papers), Cryptographic Implementations and Security (5 papers), VLSI and FPGA Design Techniques (4 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Media Technology (107 citations), Computer Vision and Pattern Recognition (209 citations) and Statistical and Nonlinear Physics (111 citations). Tingyuan Nie has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhe‐Ming Lu, Teng Zhang, Kun Zhao, Zheng Guo, Siyuan Hao, Lorenzo Bruzzone, Yuanxin Ye, Wei Wang, Yansheng Li and Wanquan Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

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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