Pei Wang

915 total citations
62 papers, 575 citations indexed

About

Pei Wang is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pei Wang has authored 62 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 13 papers in Electrical and Electronic Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pei Wang's work include Remote Sensing and LiDAR Applications (17 papers), Forest ecology and management (10 papers) and Remote Sensing in Agriculture (9 papers). Pei Wang is often cited by papers focused on Remote Sensing and LiDAR Applications (17 papers), Forest ecology and management (10 papers) and Remote Sensing in Agriculture (9 papers). Pei Wang collaborates with scholars based in China, United States and Canada. Pei Wang's co-authors include Yijun Li, Nuno Vasconcelos, Ronghao Li, Li Zhang, Tianyi Tan, Huiwen Wang, Jiawei Zhou, Rui Jiang, Xiwen Luo and Zhiyan Zhou and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Pei Wang

52 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Wang China 13 190 112 106 77 72 62 575
Shyi‐Chyi Cheng Taiwan 19 31 0.2× 428 3.8× 25 0.2× 66 0.9× 45 0.6× 68 883
Shuai Yuan China 15 149 0.8× 186 1.7× 143 1.3× 17 0.2× 74 1.0× 63 636
Bin Pan China 12 191 1.0× 27 0.2× 78 0.7× 6 0.1× 35 0.5× 38 574
Matthew Piekenbrock United States 3 35 0.2× 32 0.3× 40 0.4× 26 0.3× 18 0.3× 4 457
Ville Lehtola Finland 16 392 2.1× 142 1.3× 14 0.1× 53 0.7× 8 0.1× 39 1.0k
Damjan Strnad Slovenia 10 45 0.2× 53 0.5× 13 0.1× 12 0.2× 39 0.5× 34 301
Philip Bailey United States 13 55 0.3× 21 0.2× 146 1.4× 35 0.5× 15 0.2× 34 535
Haozhou Wang China 12 65 0.3× 35 0.3× 71 0.7× 17 0.2× 56 0.8× 38 501
Yanlong Li China 12 40 0.2× 156 1.4× 26 0.2× 5 0.1× 27 0.4× 40 851

Countries citing papers authored by Pei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Wang. A scholar is included among the top collaborators of Pei Wang 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 Wang. Pei Wang 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.
Wang, Pei, et al.. (2025). Multi-task dual-level adversarial transfer learning boosted RUL estimation of CNC milling tools. Knowledge-Based Systems. 312. 113152–113152. 2 indexed citations
2.
Wang, Pei, et al.. (2025). WLC-Net: A Robust and Fast Deep Learning Wood–Leaf Classification Method. Forests. 16(3). 513–513. 1 indexed citations
3.
Wang, Pei, et al.. (2025). Multivariate quality parallel prediction based on multi-machining feature cross domain integration in CNC machining systems. Advanced Engineering Informatics. 66. 103479–103479.
4.
Huang, Tianye, Lin Chen, Meng Kai Lü, et al.. (2025). Rapid prediction of complex nonlinear dynamics in Kerr resonators using the recurrent neural network. Frontiers of Optoelectronics. 18(1). 19–19.
5.
Wang, Pei, et al.. (2024). Machining quality prediction of complex thin-walled parts using multi-task dual domain adaptive deep transfer learning. Advanced Engineering Informatics. 62. 102640–102640. 12 indexed citations
6.
Wang, Pei, et al.. (2024). Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning. Journal of Manufacturing Systems. 74. 157–179. 12 indexed citations
7.
Li, Wei, et al.. (2024). Identification of dynamic networks community by fusing deep learning and evolutionary clustering. Scientific Reports. 14(1). 23741–23741. 2 indexed citations
8.
Liu, Sanyang, et al.. (2024). Strategies for mitigating detrimental effects in cyber-physical multiplex networks. Science China Information Sciences. 67(6).
9.
Wang, Pei, et al.. (2024). Machining parameter optimization for a batch milling system using multi-task deep reinforcement learning. Journal of Manufacturing Systems. 78. 124–152. 4 indexed citations
10.
Zhang, Li, et al.. (2024). Satellite Remote Sensing Images of Crown Segmentation and Forest Inventory Based on BlendMask. Forests. 15(8). 1320–1320. 4 indexed citations
11.
Wang, Pei, et al.. (2024). Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning. Robotics and Computer-Integrated Manufacturing. 90. 102815–102815. 6 indexed citations
12.
Zhang, Zhipeng, Bing Li, Pei Wang, et al.. (2021). Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm. IEEE Transactions on Image Processing. 30. 8439–8453. 16 indexed citations
13.
Chen, Zhen, et al.. (2021). A Novel Motion Compensation Scheme for Airborne Very High Resolution SAR. Remote Sensing. 13(14). 2729–2729. 11 indexed citations
14.
Wang, Pei, et al.. (2019). 和谐医患关系的心理机制及其促进技术. Advances in Psychological Science. 27(6). 951–964. 6 indexed citations
15.
Zhang, Qin, et al.. (2017). The interactions between multiple social subcategories in facial recognition. Advances in Psychological Science. 25(11). 1955–1955. 2 indexed citations
16.
Wang, Pei, et al.. (2016). The characteristics of social categorization based on the unidimensional variation of gender versus age. Cognitive Processing. 18(1). 31–37. 1 indexed citations
17.
Wang, Pei. (2012). An Empirical Study on the Meaning Negotiation under Three Kinds of Task Characteristics. 1 indexed citations
18.
Chen, Sheng, Li Li, & Pei Wang. (2009). Automatic detection of supporting device positioning in intensive care unit radiography. International Journal of Medical Robotics and Computer Assisted Surgery. 5(3). 332–340. 18 indexed citations
19.
Wang, Pei. (2003). Pattern recognition based on the fusion technique for counting of bundled bar steel. Journal of Hefei University of Technology. 1 indexed citations
20.
Wang, Pei. (2002). Image segmentation based on multi-level technique.

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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