Peipei Li

4.5k total citations
177 papers, 3.1k citations indexed

About

Peipei Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peipei Li has authored 177 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Artificial Intelligence, 40 papers in Information Systems and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peipei Li's work include Text and Document Classification Technologies (37 papers), Data Stream Mining Techniques (25 papers) and Topic Modeling (16 papers). Peipei Li is often cited by papers focused on Text and Document Classification Technologies (37 papers), Data Stream Mining Techniques (25 papers) and Topic Modeling (16 papers). Peipei Li collaborates with scholars based in China, United States and Singapore. Peipei Li's co-authors include Xuegang Hu, Xindong Wu, Peng Zhou, Yuhong Zhang, Kui Yu, Youyu Zhang, Shuicheng Yan, Meng Wang, Canyi Lu and Huiting Liu and has published in prestigious journals such as Analytical Chemistry, Journal of The Electrochemical Society and Journal of Materials Chemistry A.

In The Last Decade

Peipei Li

157 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipei Li China 30 1.5k 647 488 351 240 177 3.1k
Jin Liu China 33 1.1k 0.7× 689 1.1× 878 1.8× 247 0.7× 816 3.4× 487 5.0k
Ambuj Tewari United States 29 1.5k 1.0× 378 0.6× 126 0.3× 367 1.0× 150 0.6× 92 4.1k
Teresa B. Ludermir Brazil 34 1.8k 1.2× 353 0.5× 262 0.5× 443 1.3× 486 2.0× 270 4.6k
Mi Young Lee South Korea 36 862 0.6× 523 0.8× 196 0.4× 227 0.6× 1.0k 4.4× 130 4.0k
Christopher J. Whitaker United Kingdom 25 1.2k 0.8× 592 0.9× 224 0.5× 182 0.5× 90 0.4× 39 3.0k
Hongfei Lin China 36 3.5k 2.3× 368 0.6× 695 1.4× 156 0.4× 143 0.6× 408 5.5k
Christophe Giraud-Carrier United States 24 1.5k 1.0× 216 0.3× 451 0.9× 251 0.7× 117 0.5× 101 3.3k
Can Wang China 31 1.6k 1.1× 877 1.4× 1.0k 2.1× 47 0.1× 72 0.3× 228 3.7k
Zhenyu Chen China 33 1.1k 0.7× 778 1.2× 262 0.5× 102 0.3× 1.3k 5.5× 219 4.8k
Shaoxiong Ji Finland 14 1.7k 1.1× 213 0.3× 347 0.7× 154 0.4× 61 0.3× 26 2.6k

Countries citing papers authored by Peipei Li

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Li

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

All Works

20 of 20 papers shown
1.
Pan, Kun, et al.. (2025). Comparison of the Cyclic Liquefaction Susceptibility of Calcareous and Siliceous Sand: An Energy-Based Perspective. Journal of Geotechnical and Geoenvironmental Engineering. 151(10).
2.
Ouyang, Yihang, et al.. (2025). Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization. Journal of Imaging Informatics in Medicine. 38(5). 3221–3234. 1 indexed citations
3.
Zhang, Yuejun, Min Tao, Ruiling Wang, et al.. (2024). Collateral sensitivity to gamithromycin in ciprofloxacin-resistant Streptococcus suis is driven by increasing intracellular antibiotic accumulation. Journal of Integrative Agriculture. 1 indexed citations
4.
Zhong, Yaoyao, et al.. (2024). AdvCloak: Customized adversarial cloak for privacy protection. Pattern Recognition. 158. 111050–111050. 4 indexed citations
5.
Xu, Yuting, et al.. (2024). Deep learning technology for face forgery detection: A survey. Neurocomputing. 618. 129055–129055. 4 indexed citations
6.
Zhao, Lili, Jiawei Zhou, Peipei Li, et al.. (2024). Target-induced photoelectrochemistry and colorimetric dual-mode platform for HIgG based on Ag2S/SnO2 composites and CoOOH nanoflakes. Sensors and Actuators B Chemical. 409. 135638–135638. 7 indexed citations
7.
Yang, Wenwei, et al.. (2023). Optimized strength modelling of foamed concrete using principal component analysis featurized regressors. Structures. 48. 1730–1745. 10 indexed citations
8.
Yu, Kui, et al.. (2023). Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Transactions on Knowledge Discovery from Data. 18(2). 1–27. 5 indexed citations
9.
Hu, Jun, et al.. (2023). Second-order Confidence Network for Early Classification of Time Series. ACM Transactions on Intelligent Systems and Technology. 15(1). 1–28.
10.
Liu, Huiting, et al.. (2023). DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. ACM Transactions on Knowledge Discovery from Data. 18(1). 1–22. 1 indexed citations
11.
Yu, Kui, et al.. (2023). Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10526–10539. 13 indexed citations
12.
Li, Peipei, et al.. (2022). High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Transactions on Knowledge and Data Engineering. 1–15. 11 indexed citations
13.
Li, Yang, Xuegang Hu, Lei Wang, Peipei Li, & Zhu‐Hong You. (2022). MNMDCDA: prediction of circRNA–disease associations by learning mixed neighborhood information from multiple distances. Briefings in Bioinformatics. 23(6). 15 indexed citations
14.
Li, Peipei, et al.. (2022). Data Stream Classification Based on Extreme Learning Machine: A Review. Big Data Research. 30. 100356–100356. 7 indexed citations
15.
Li, Peipei, et al.. (2022). A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Transactions on Big Data. 9(1). 341–357. 10 indexed citations
16.
Li, Peipei, et al.. (2021). Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Generation Computing. 39(2). 341–376. 5 indexed citations
17.
Li, Peipei, et al.. (2019). A Survey on Multi-Label Data Stream Classification. IEEE Access. 8. 1249–1275. 55 indexed citations
18.
Li, Peipei, Haiyan Wang, Xuegang Hu, et al.. (2017). Learning From Short Text Streams With Topic Drifts. IEEE Transactions on Cybernetics. 48(9). 2697–2711. 25 indexed citations
19.
Li, Peipei, Xindong Wu, Xuegang Hu, & Hao Wang. (2015). An Incremental Decision Tree for Mining Multilabel Data. Applied Artificial Intelligence. 29(10). 992–1014. 3 indexed citations
20.
Li, Peipei. (2011). Production and emission of nitrous oxide from the estuarine tidal flat around Jiaozhou Bay and their influencing factors. Acta Scientiae Circumstantiae. 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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