Pei Quan

580 total citations
32 papers, 356 citations indexed

About

Pei Quan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Pei Quan has authored 32 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Pei Quan's work include Advanced Graph Neural Networks (10 papers), Topic Modeling (7 papers) and Advanced Neural Network Applications (5 papers). Pei Quan is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Topic Modeling (7 papers) and Advanced Neural Network Applications (5 papers). Pei Quan collaborates with scholars based in China, United States and Canada. Pei Quan's co-authors include Yong Shi, Minglong Lei, Tianlin Zhang, Lingfeng Niu, Jiaxu Leng, Yi Qu, Yang Xiao, Ying Liu, Dawei Du and Wei Zhao and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Geoscience and Remote Sensing and Information Sciences.

In The Last Decade

Pei Quan

29 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pei Quan China	11	167	108	48	33	30	32	356
Chenxi Li China	12	280 1.7×	99 0.9×	23 0.5×	19 0.6×	10 0.3×	46	467
Yajiao Tang China	11	246 1.5×	43 0.4×	16 0.3×	7 0.2×	7 0.2×	16	417
Stamatis Karlos Greece	10	265 1.6×	46 0.4×	14 0.3×	13 0.4×	23 0.8×	32	461
Mohammad Shahid India	12	105 0.6×	142 1.3×	4 0.1×	39 1.2×	14 0.5×	38	468
Xinxin Zhou China	9	163 1.0×	100 0.9×	16 0.3×	14 0.4×	3 0.1×	29	383
Shakil Ahmed Bangladesh	8	137 0.8×	31 0.3×	12 0.3×	7 0.2×	12 0.4×	14	238
Xiaojing Li China	11	45 0.3×	160 1.5×	24 0.5×	24 0.7×	12 0.4×	36	353
Minakhi Rout India	13	187 1.1×	67 0.6×	3 0.1×	22 0.7×	17 0.6×	43	488
Yongan Zhang United States	8	198 1.2×	129 1.2×	5 0.1×	16 0.5×	3 0.1×	26	502

Countries citing papers authored by Pei Quan

Since Specialization

Citations

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

Fields of papers citing papers by Pei Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Quan. A scholar is included among the top collaborators of Pei Quan 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 Pei Quan. Pei Quan 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

Xie, Rui, et al.. (2025). Product return prediction in live streaming e-commerce with cross-modal contrastive transformer. Decision Support Systems. 194. 114470–114470. 1 indexed citations

Zhang, Wen, et al.. (2025). Interpretable incubation period prediction with gradient boosting acceleration and disjoint region optimization based on generalized additive model. International Journal of General Systems. 1–32. 1 indexed citations

Shi, Yong, et al.. (2024). A universal network strategy for lightspeed computation of entropy-regularized optimal transport. Neural Networks. 184. 107038–107038.

Quan, Pei, et al.. (2024). A Brief Survey of Distribution Robust Graph Neural Networks. Procedia Computer Science. 242. 1281–1286.

Quan, Pei, et al.. (2024). A Study on Fake Review Detection Based on RoBERTa and Behavioral Features. Procedia Computer Science. 242. 1323–1330.

Zhang, Wen, et al.. (2024). Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder. IEEE Internet of Things Journal. 11(23). 38312–38326. 1 indexed citations

Li, Jian, et al.. (2024). Advance Selling Strategy with Return Service: The Impacts of Information Disclosure and Disclosure Methods. Asia Pacific Journal of Operational Research. 41(4). 1 indexed citations

Mi, Yunlong, Zongrun Wang, Pei Quan, & Yong Shi. (2024). A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information. European Journal of Operational Research. 315(3). 1123–1138. 2 indexed citations

Shi, Yong, et al.. (2024). Wasserstein distance regularized graph neural networks. Information Sciences. 670. 120608–120608. 5 indexed citations

10.

Quan, Pei, et al.. (2024). ExGAT: Context extended graph attention neural network. Neural Networks. 181. 106784–106784. 3 indexed citations

11.

Zhang, Wen, et al.. (2023). Prediction of influent wastewater quality based on wavelet transform and residual LSTM. Applied Soft Computing. 148. 110858–110858. 21 indexed citations

12.

Quan, Pei, et al.. (2023). Optimization Ways in Neural Network Compression. Procedia Computer Science. 221. 1351–1357. 2 indexed citations

13.

Xiao, Yang, Pei Quan, Minglong Lei, & Lingfeng Niu. (2022). Latent neighborhood-based heterogeneous graph representation. Neural Networks. 154. 413–424. 7 indexed citations

14.

Shi, Yong, Pei Quan, Tianlin Zhang, & Lingfeng Niu. (2022). DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism. Methods. 203. 152–159. 16 indexed citations

15.

Quan, Pei, et al.. (2022). Optimal Transport Guided Node Classification in Cross Networks. Procedia Computer Science. 214. 1160–1167. 1 indexed citations

16.

Quan, Pei, et al.. (2022). A Survey for Sparse Regularization Based Compression Methods. Annals of Data Science. 9(4). 695–722. 5 indexed citations

17.

Shi, Yong, Yang Xiao, Pei Quan, Minglong Lei, & Lingfeng Niu. (2021). Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognition Letters. 149. 150–156. 15 indexed citations

18.

Leng, Jiaxu, et al.. (2021). SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 59(10). 8826–8840. 42 indexed citations

19.

Shi, Yong, Yang Xiao, Pei Quan, Minglong Lei, & Lingfeng Niu. (2020). Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks. 134. 42–53. 28 indexed citations

20.

Quan, Pei, Yong Shi, Minglong Lei, et al.. (2019). A Brief Review of Receptive Fields in Graph Convolutional Networks. 106–110. 9 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.

Explore authors with similar magnitude of impact