Peng Pan

617 total citations
23 papers, 392 citations indexed

About

Peng Pan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Pan has authored 23 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Pan's work include Recommender Systems and Techniques (7 papers), Manufacturing Process and Optimization (4 papers) and Advanced Graph Neural Networks (4 papers). Peng Pan is often cited by papers focused on Recommender Systems and Techniques (7 papers), Manufacturing Process and Optimization (4 papers) and Advanced Graph Neural Networks (4 papers). Peng Pan collaborates with scholars based in China, United Kingdom and Macao. Peng Pan's co-authors include David K. Harrison, Guohui Li, Jianjun Li, Kai Cheng, Meng Liu, Chaoyang Wang, Ke Liu, Jianjun Li, Qing Sun and Yongyong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Peng Pan

20 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng Pan China	11	143	142	98	75	73	23	392
Julita Bermejo–Alonso Spain	11	60 0.4×	141 1.0×	84 0.9×	77 1.0×	39 0.5×	27	374
Ahsan Qamar United States	14	78 0.5×	113 0.8×	195 2.0×	111 1.5×	48 0.7×	34	446
Nenad Ivezic United States	13	172 1.2×	163 1.1×	163 1.7×	66 0.9×	32 0.4×	60	453
Will Serrano United Kingdom	12	124 0.9×	77 0.5×	29 0.3×	14 0.2×	37 0.5×	28	370
K. Suzanne Barber United States	10	82 0.6×	220 1.5×	122 1.2×	34 0.5×	61 0.8×	70	443
Ioan Ştefan Sacală Romania	12	104 0.7×	52 0.4×	100 1.0×	71 0.9×	19 0.3×	58	367
Jon Holt United Kingdom	10	88 0.6×	100 0.7×	60 0.6×	61 0.8×	58 0.8×	24	416
Mohamed Hedi Karray France	11	68 0.5×	151 1.1×	83 0.8×	17 0.2×	56 0.8×	36	326
İbrahim Çil Türkiye	10	37 0.3×	50 0.4×	103 1.1×	36 0.5×	59 0.8×	38	377
Jana-Rebecca Rehse Germany	7	106 0.7×	116 0.8×	68 0.7×	11 0.1×	85 1.2×	26	366

Countries citing papers authored by Peng Pan

Since Specialization

Citations

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

Fields of papers citing papers by Peng Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Pan

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

Pan, Peng, et al.. (2025). The Impact of Information Layout and Auxiliary Instruction Display Mode on the Usability of Virtual Fitting Interaction Interfaces. Information. 16(10). 862–862.

Yuan, Ling, et al.. (2024). Research of Chinese Entity Recognition Model Based on Multi-Feature Semantic Enhancement. Electronics. 13(24). 4895–4895.

Yuan, Ling, et al.. (2023). CTSARF: A Chinese Text Similarity Analysis Model based on Residual Fusion. Neurocomputing. 559. 126801–126801. 3 indexed citations

Liu, Meng, Jianjun Li, Guohui Li, et al.. (2023). Cross Domain Deep Collaborative Filtering without Overlapping Data. 1–8.

Li, Jianjun, et al.. (2022). GPM: A graph convolutional network based reinforcement learning framework for portfolio management. Neurocomputing. 498. 14–27. 21 indexed citations

Li, Jianjun, et al.. (2022). SDNN: Symmetric deep neural networks with lateral connections for recommender systems. Information Sciences. 595. 217–230. 14 indexed citations

Liu, Meng, Jianjun Li, Ke Liu, et al.. (2022). Graph-ICF: Item-based collaborative filtering based on graph neural network. Knowledge-Based Systems. 251. 109208–109208. 17 indexed citations

Wang, Chaoyang, et al.. (2021). A light heterogeneous graph collaborative filtering model using textual information. Knowledge-Based Systems. 234. 107602–107602. 6 indexed citations

Li, Jianjun, et al.. (2021). XPM. 1661–1670. 11 indexed citations

10.

Liu, Meng, Jianjun Li, Guohui Li, & Peng Pan. (2020). Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks. 885–894. 114 indexed citations

11.

Li, Jianjun, et al.. (2019). A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management. 1613–1622. 15 indexed citations

12.

Ma, Changsheng, et al.. (2019). BDMF: A Biased Deep Matrix Factorization Model for Recommendation. 1039–1045. 3 indexed citations

13.

Wang, Shuqin, et al.. (2018). Robust PCA Using Matrix Factorization for Background/Foreground Separation. IEEE Access. 6. 18945–18953. 20 indexed citations

14.

Pan, Peng. (2018). Background recovery via motion-based robust principal component analysis with matrix factorization. Journal of Electronic Imaging. 27(2). 1–1. 3 indexed citations

15.

Zhou, Mingzhe, et al.. (2018). Bulletin of the Polish Academy of Sciences: Technical Sciences. SHILAP Revista de lepidopterología. 3 indexed citations

16.

Pan, Peng, Kai Cheng, & David K. Harrison. (2003). A Web‐based agile system for rolling bearing design. Integrated Manufacturing Systems. 14(6). 518–529. 11 indexed citations

17.

Pan, Peng, et al.. (2002). Development of an Internet-based intelligent design support system for rolling element bearings. International Journal of Systems Science. 33(6). 403–419. 6 indexed citations

18.

Cheng, Kai, Peng Pan, & David K. Harrison. (2001). Web-based design and manufacturing support systems: Implementation perspectives. International Journal of Computer Integrated Manufacturing. 14(1). 14–27. 52 indexed citations

19.

Cheng, Kai, Peng Pan, & David K. Harrison. (2000). The Internet as a tool with application to agile manufacturing: A web-based engineering approach and its implementation issues. International Journal of Production Research. 38(12). 2743–2759. 32 indexed citations

20.

Harrison, David K., et al.. (1998). Implementation of agile manufacturing—an AI and Internet based approach. Journal of Materials Processing Technology. 76(1-3). 96–101. 46 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