Peipei Yuan

462 total citations
20 papers, 354 citations indexed

About

Peipei Yuan is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Peipei Yuan has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Software. Recurrent topics in Peipei Yuan's work include Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers) and Machine Learning and ELM (4 papers). Peipei Yuan is often cited by papers focused on Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers) and Machine Learning and ELM (4 papers). Peipei Yuan collaborates with scholars based in China, Hong Kong and United States. Peipei Yuan's co-authors include Yutian Tang, Zhou Xu, Tao Zhang, Xiapu Luo, Zijiang Yang, Yifeng Zhang, Jin Liu, Xiangwei Zhu, Xi Chen and Zhike Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Food Research International.

In The Last Decade

Peipei Yuan

18 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peipei Yuan China	9	176	152	71	68	63	20	354
Ankur Choudhary India	10	59 0.3×	62 0.4×	31 0.4×	39 0.6×	36 0.6×	72	411
Teng Long China	9	60 0.3×	48 0.3×	47 0.7×	87 1.3×	9 0.1×	32	257
Yifei Xu China	11	47 0.3×	17 0.1×	21 0.3×	27 0.4×	23 0.4×	31	384
Jiawei Liu China	10	57 0.3×	72 0.5×	57 0.8×	112 1.6×	5 0.1×	28	369
Andy A. Hwang Canada	7	132 0.8×	10 0.1×	300 4.2×	43 0.6×	15 0.2×	10	484
Long Nguyen United States	11	76 0.4×	47 0.3×	26 0.4×	146 2.1×	3 0.0×	27	285
Alberto Ferrante Switzerland	10	44 0.3×	29 0.2×	168 2.4×	61 0.9×	4 0.1×	46	317
Markus Becker Germany	9	19 0.1×	31 0.2×	116 1.6×	17 0.3×	23 0.4×	28	246
Xiaoting He China	7	190 1.1×	130 0.9×	513 7.2×	350 5.1×	2 0.0×	10	636
Zhaoyang Yu China	10	72 0.4×	17 0.1×	140 2.0×	93 1.4×	3 0.0×	28	248

Countries citing papers authored by Peipei Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Peipei Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Yuan

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

All Works

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20 of 20 papers shown

Yuan, Peipei, et al.. (2024). Generalized Sparse Additive Model with Unknown Link Function. 923–928.

Liu, Xuehua, et al.. (2024). A novel technique for rapid determination of pressure injury stages using intelligent machine vision. Geriatric Nursing. 61. 98–105. 1 indexed citations

Chen, Tao, et al.. (2023). A Novel Vehicle Localization Method Based on Adaptive Singular Spectrum Analysis Using Low-Cost INS/GNSS. IEEE Access. 11. 88670–88685.

Yuan, Peipei, Xinge You, Hong Chen, et al.. (2023). Sparse Additive Machine With the Correntropy-Induced Loss. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 1989–2003. 1 indexed citations

Liu, Hong, Peipei Yuan, Bing Yang, Yang Ge, & Yang Chen. (2021). Head‐related transfer function–reserved time‐frequency masking for robust binaural sound source localization. CAAI Transactions on Intelligence Technology. 7(1). 26–33. 9 indexed citations

Zhu, Xiangwei, Peipei Yuan, Ting Zhang, et al.. (2021). Effect of carboxymethyl chitosan on the storage stability of frozen dough: State of water, protein structures and quality attributes. Food Research International. 151. 110863–110863. 85 indexed citations

Zhao, Yue, Yiu‐ming Cheung, Xinge You, et al.. (2020). Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning. IEEE Transactions on Geoscience and Remote Sensing. 59(3). 2294–2306. 8 indexed citations

Jiang, Shilong, et al.. (2020). Deep and CNN fusion method for binaural sound source localisation. The Journal of Engineering. 2020(13). 511–516. 11 indexed citations

Yuan, Peipei, Xinge You, Hong Chen, et al.. (2020). Group sparse additive machine with average top-k loss. Neurocomputing. 395. 1–14. 2 indexed citations

10.

Zhou, Xu, Meng Yan, Peipei Yuan, et al.. (2020). Imbalanced metric learning for crashing fault residence prediction. Journal of Systems and Software. 170. 110763–110763. 7 indexed citations

11.

Xu, Zhou, Shuai Li, Xiapu Luo, et al.. (2019). TSTSS: A two-stage training subset selection framework for cross version defect prediction. Journal of Systems and Software. 154. 59–78. 27 indexed citations

12.

Liu, Hong, et al.. (2019). Robust Interaural Time Difference Estimation Based on Convolutional Neural Network. 352–357. 5 indexed citations

13.

Zhang, Xianggang, et al.. (2019). A Control Strategy for Maintaining Gait Stability and Reducing Body-Exoskeleton Interference Force in Load-Carrying Exoskeleton. Journal of Intelligent & Robotic Systems. 97(2). 287–298. 11 indexed citations

14.

Yuan, Peipei, et al.. (2018). Nylon 66/nano CaCO3 composites. 1(1). 2 indexed citations

15.

Xu, Zhou, et al.. (2018). HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning. IEEE Access. 6. 57597–57613. 26 indexed citations

16.

Xu, Zhou, Jin Liu, Xiapu Luo, et al.. (2018). Software defect prediction based on kernel PCA and weighted extreme learning machine. Information and Software Technology. 106. 182–200. 142 indexed citations

17.

Deng, Xiaoyan, et al.. (2018). Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals. International Journal of Pattern Recognition and Artificial Intelligence. 33(8). 1951002–1951002. 12 indexed citations

18.

Yuan, Peipei, et al.. (2017). Error analysis of regularized least-square regression with Fredholm kernel. Neurocomputing. 249. 237–244. 1 indexed citations

19.

Zhou, Xu, et al.. (2017). An Empirical Study on the Equivalence and Stability of Feature Selection for Noisy Software Defect Data. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2017. 191–196. 2 indexed citations

20.

Yuan, Peipei, Hong Chen, Yicong Zhou, Xiaoyan Deng, & Bin Zou. (2015). Generalization ability of extreme learning machine with uniformly ergodic Markov chains. Neurocomputing. 167. 528–534. 2 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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