Tingyuan Nie

713 total citations
39 papers, 532 citations indexed

About

Tingyuan Nie is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Tingyuan Nie has authored 39 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Electrical and Electronic Engineering and 11 papers in Hardware and Architecture. Recurrent topics in Tingyuan Nie's work include Physical Unclonable Functions (PUFs) and Hardware Security (9 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers) and VLSI and Analog Circuit Testing (8 papers). Tingyuan Nie is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (9 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers) and VLSI and Analog Circuit Testing (8 papers). Tingyuan Nie collaborates with scholars based in China, Japan and United States. Tingyuan Nie's 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 and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Tingyuan Nie

33 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tingyuan Nie China	10	209	143	111	107	76	39	532
Weiqing Huang China	11	79 0.4×	244 1.7×	19 0.2×	67 0.6×	223 2.9×	99	530
Erxue Min China	5	147 0.7×	362 2.5×	49 0.4×	30 0.3×	140 1.8×	12	604
Weitong Zhang China	15	150 0.7×	246 1.7×	232 2.1×	70 0.7×	57 0.8×	48	527
Wen-Yen Chen United States	5	287 1.4×	350 2.4×	144 1.3×	86 0.8×	63 0.8×	8	626
Wenhong Wang China	10	230 1.1×	146 1.0×	23 0.2×	130 1.2×	47 0.6×	34	623
Jianjing Cui China	3	128 0.6×	282 2.0×	29 0.3×	28 0.3×	129 1.7×	3	465
J.C.A. van der Lubbe Netherlands	13	190 0.9×	149 1.0×	42 0.4×	165 1.5×	164 2.2×	35	602

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 of co-authors of Tingyuan Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Tingyuan Nie. A scholar is included among the top collaborators of Tingyuan Nie 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 Tingyuan Nie. Tingyuan Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nie, Tingyuan, et al.. (2025). Complex network knowledge-based field programmable gate arrays routing congestion prediction. Future Generation Computer Systems. 168. 107776–107776.

Nie, Tingyuan, Yanwei Wang, Pengfei Liu, Kun Zhao, & Zhenhao Wang. (2024). Predicting routability of FPGA design by learning complex network images. Expert Systems with Applications. 261. 125486–125486.

Nie, Tingyuan, et al.. (2023). Estimating feature importance in circuit network using machine learning. Multimedia Tools and Applications. 83(11). 31233–31249. 1 indexed citations

Xu, Rui, et al.. (2023). Semi-supervised active learning hypothesis verification for improved geometric expression in three-dimensional object recognition. Engineering Applications of Artificial Intelligence. 120. 105956–105956. 2 indexed citations

Zhao, Kun, et al.. (2022). FAWNet: two-phase attention based street view image classification for urban land use analysis. Remote Sensing Letters. 13(9). 958–968. 1 indexed citations

Nie, Tingyuan, Bo Fan, & Zhenhao Wang. (2022). Complexity and robustness of weighted circuit network of placement. Physica A Statistical Mechanics and its Applications. 598. 127346–127346. 7 indexed citations

Nie, Tingyuan, et al.. (2020). Performance and Correlations of Weighted Circuit Networks. IEEE Access. 8. 72683–72693. 3 indexed citations

Nie, Tingyuan, et al.. (2019). Constraint propagation in physical design of circuits. IET Circuits Devices & Systems. 14(1). 66–71.

Ye, Hong, et al.. (2018). Interest Point Detection Using a Composite Index of Complex Networks.. J. Inf. Hiding Multim. Signal Process.. 9. 265–273. 1 indexed citations

10.

Nie, Tingyuan, et al.. (2018). Evaluation of invulnerability of scale-free networks using total information of local sub-graph. International Journal of Modern Physics C. 29(8). 1850075–1850075. 2 indexed citations

11.

Hao, Siyuan, Wei Wang, Yuanxin Ye, Tingyuan Nie, & Lorenzo Bruzzone. (2017). Two-Stream Deep Architecture for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 56(4). 2349–2361. 112 indexed citations

12.

Zhang, Chen, et al.. (2017). Palmprint Feature Extraction based on Multi-wavelet and Complex network.. J. Inf. Hiding Multim. Signal Process.. 8. 589–598. 4 indexed citations

13.

Zhao, Kun, et al.. (2016). SCALE-INVARIANT INTEREST POINT DETECTION IN IMAGES BASED ON COMPLEX NETWORK ANALYSIS. ICIC express letters. Part B, Applications. 7(3). 525–530. 1 indexed citations

14.

Wang, Hui, et al.. (2016). Face Recognition Based on LDA and Improved Pairwise-Constrained Multiple Metric Learning Method.. J. Inf. Hiding Multim. Signal Process.. 7. 4 indexed citations

15.

Nie, Tingyuan, Zheng Guo, Kun Zhao, & Zhe‐Ming Lu. (2016). Using mapping entropy to identify node centrality in complex networks. Physica A Statistical Mechanics and its Applications. 453. 290–297. 69 indexed citations

16.

Lu, Zhe‐Ming, et al.. (2015). A Robust Blind Image Watermarking Scheme Based on Classified Vector Quantization.. J. Inf. Hiding Multim. Signal Process.. 6. 74–80. 4 indexed citations

17.

Liu, Feifei, et al.. (2015). Palmprint Feature Extraction Based on Curvelet Transform.. J. Inf. Hiding Multim. Signal Process.. 6. 131–139. 11 indexed citations

18.

Lu, Zhe‐Ming, et al.. (2014). Face Recognition Based on Multi-Wavelet and Sparse Representation. J. Inf. Hiding Multim. Signal Process.. 5. 399–407. 7 indexed citations

19.

Nie, Tingyuan & Teng Zhang. (2009). A study of DES and Blowfish encryption algorithm. 1–4. 94 indexed citations

20.

Nie, Tingyuan, et al.. (2005). A watermarking system for IP protection by a post layout incremental router. 218–218. 11 indexed citations

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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