Zhibo Wan

877 total citations
17 papers, 581 citations indexed

About

Zhibo Wan is a scholar working on Industrial and Manufacturing Engineering, Environmental Engineering and Geology. According to data from OpenAlex, Zhibo Wan has authored 17 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 4 papers in Environmental Engineering and 4 papers in Geology. Recurrent topics in Zhibo Wan's work include Industrial Vision Systems and Defect Detection (5 papers), Remote Sensing and LiDAR Applications (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Zhibo Wan is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Remote Sensing and LiDAR Applications (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Zhibo Wan collaborates with scholars based in China, Sweden and United States. Zhibo Wan's co-authors include Hao Wang, Zhihan Lv, Zengchen Yu, Hao Wang, Mengjiao Li, Haibin Lv, Youqiang Dong, Shuxuan Xie, Mengjiao Li and Ke Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Internet of Things Journal and Frontiers in Neuroscience.

In The Last Decade

Zhibo Wan

14 papers receiving 560 citations

Peers

Zhibo Wan
Jianxu Mao China
Xinghui Dong China
Yilin Wu China
Ansi Zhang China
Yuzhu He China
Yu Yao China
Guodong Sun China
Long Yu China
Zhengming Chen China
Jianxu Mao China
Zhibo Wan
Citations per year, relative to Zhibo Wan Zhibo Wan (= 1×) peers Jianxu Mao

Countries citing papers authored by Zhibo Wan

Since Specialization
Citations

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

Fields of papers citing papers by Zhibo Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhibo Wan

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

All Works

17 of 17 papers shown
1.
Lyu, Zhihan, et al.. (2025). Integrated Digital Twins System for Oil Temperature Prediction of Power Transformer Based on Internet of Things. IEEE Internet of Things Journal. 12(10). 13746–13756. 5 indexed citations
2.
Liu, Dejun, et al.. (2024). An efficient ground segmentation approach for LiDAR point cloud utilizing adjacent grids. Machine Vision and Applications. 35(5). 2 indexed citations
3.
4.
Li, Feiyu, et al.. (2023). Improving the accuracy of multi-step prediction of building energy consumption based on EEMD-PSO-Informer and long-time series. Computers & Electrical Engineering. 110. 108845–108845. 32 indexed citations
5.
Guo, Jinkang, Zhibo Wan, & Zhihan Lv. (2023). Digital Twins Fuzzy System Based on Time Series Forecasting Model LFTformer. 7094–7100. 2 indexed citations
6.
Wan, Zhibo, et al.. (2022). CONTAINER SHIP CELL GUIDE ACCURACY CHECK TECHNOLOGY BASED ON IMPROVED 3D POINT CLOUD INSTANCE SEGMENTATION. Brodogradnja. 73(1). 23–35. 46 indexed citations
7.
Wan, Zhibo, et al.. (2022). An improved 3D point cloud instance segmentation method for overhead catenary height detection. Computers & Electrical Engineering. 98. 107685–107685. 45 indexed citations
8.
Yu, Zengchen, Ke Wang, Zhibo Wan, Shuxuan Xie, & Zhihan Lv. (2022). Popular deep learning algorithms for disease prediction: a review. Cluster Computing. 26(2). 1231–1251. 64 indexed citations
9.
Wang, Hao, Mengjiao Li, & Zhibo Wan. (2022). Rail surface defect detection based on improved Mask R-CNN. Computers & Electrical Engineering. 102. 108269–108269. 53 indexed citations
10.
Wang, Chengyuan, Junli Zhao, Zengchen Yu, et al.. (2022). Real-Time Foreign Object and Production Status Detection of Tobacco Cabinets Based on Deep Learning. Applied Sciences. 12(20). 10347–10347. 7 indexed citations
11.
12.
Yu, Zengchen, Ke Wang, Zhibo Wan, Shuxuan Xie, & Zhihan Lv. (2022). FMCPNN in Digital Twins Smart Healthcare. IEEE Consumer Electronics Magazine. 12(4). 66–73. 11 indexed citations
13.
Li, Yuxi, Shuxuan Xie, Zhibo Wan, et al.. (2022). Graph-powered learning methods in the Internet of Things: A survey. SHILAP Revista de lepidopterología. 11. 100441–100441. 23 indexed citations
14.
Wang, Hao, et al.. (2022). Ore Image Classification Based on Improved CNN. Computers & Electrical Engineering. 99. 107819–107819. 91 indexed citations
15.
Li, Mengjiao, Hao Wang, & Zhibo Wan. (2022). Surface defect detection of steel strips based on improved YOLOv4. Computers & Electrical Engineering. 102. 108208–108208. 89 indexed citations
16.
Wan, Zhibo, Youqiang Dong, Zengchen Yu, Haibin Lv, & Zhihan Lv. (2021). Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion. Frontiers in Neuroscience. 15. 705323–705323. 110 indexed citations
17.

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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