Shifeng Wang

516 total citations
64 papers, 346 citations indexed

About

Shifeng Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Shifeng Wang has authored 64 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 23 papers in Aerospace Engineering and 16 papers in Environmental Engineering. Recurrent topics in Shifeng Wang's work include Robotics and Sensor-Based Localization (18 papers), Remote Sensing and LiDAR Applications (14 papers) and Advanced Neural Network Applications (12 papers). Shifeng Wang is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Remote Sensing and LiDAR Applications (14 papers) and Advanced Neural Network Applications (12 papers). Shifeng Wang collaborates with scholars based in China, Australia and Saudi Arabia. Shifeng Wang's co-authors include Yixiang Yue, Lu Tong, Leishan Zhou, M. Rapik Saat, Sarath Kodagoda, Lei Shi, Hualin Wang, Jin Meng, Xiang Dai and Hazrat Bilal and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Shifeng Wang

52 papers receiving 334 citations

Peers

Shifeng Wang
Zhengyu Xie China
Namkug Ku South Korea
Xiaoli Hao China
Fuwen Deng China
Danyang Li China
Ebru Karaköse Türkiye
Rastislav Pirník Slovakia
Ahmed Gomaa Egypt
Tao Tang China
Zhengyu Xie China
Shifeng Wang
Citations per year, relative to Shifeng Wang Shifeng Wang (= 1×) peers Zhengyu Xie

Countries citing papers authored by Shifeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shifeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shifeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shifeng Wang. A scholar is included among the top collaborators of Shifeng 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 Shifeng Wang. Shifeng 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.
Kumar, Aakash, et al.. (2025). DSQN: Robust path planning of mobile robot based on deep spiking Q-network. Neurocomputing. 634. 129916–129916. 4 indexed citations
2.
Wang, Shifeng, et al.. (2025). Deep reinforcement learning for robust robot navigation in complex and crowded environments. Journal of King Saud University - Computer and Information Sciences. 37(10).
3.
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Yang, Hang, et al.. (2025). NDF-SLAM: LiDAR SLAM based on neural distance field for registration and loop closure detection. Measurement. 255. 117904–117904.
5.
Lü, Bo, et al.. (2025). Three-Dimensional Environment Mapping with a Rotary-Driven Lidar in Real Time. Sensors. 25(15). 4870–4870.
6.
Meng, Xin, et al.. (2024). TS-LCD: Two-Stage Loop-Closure Detection Based on Heterogeneous Data Fusion. Sensors. 24(12). 3702–3702. 2 indexed citations
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Kumar, Aakash, et al.. (2024). Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs. International Journal of Machine Learning and Cybernetics. 15(9). 4175–4191. 20 indexed citations
10.
Meng, Jin, et al.. (2024). Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm. PLoS ONE. 19(12). e0312358–e0312358. 1 indexed citations
11.
Meng, Xin, et al.. (2024). STFNET: Sparse Temporal Fusion for 3D Object Detection in LiDAR Point Cloud. IEEE Sensors Journal. 25(3). 5866–5877. 2 indexed citations
12.
Meng, Xin, Shifeng Wang, Peng Zhang, et al.. (2023). A phase error compensation method for three-dimensional shape measurement using improved iteration algorithm. Journal of Modern Optics. 70(8). 457–469.
13.
Qian, Feng, et al.. (2023). Path Planning Algorithm of Mobile Robot Based on Improved Q-learning Algorithm. 133–136. 1 indexed citations
14.
Meng, Jin, et al.. (2023). A Model for Urban Environment Instance Segmentation with Data Fusion. Sensors. 23(13). 6141–6141. 2 indexed citations
15.
Ji, Xuan, Shifeng Wang, Zhaonan Wang, et al.. (2023). An Integrated Multi-Channel Deep Neural Network for Mesial Temporal Lobe Epilepsy Identification Using Multi-Modal Medical Data. Bioengineering. 10(10). 1234–1234. 2 indexed citations
16.
Wang, Shifeng, et al.. (2023). PVONet: point-voxel-based semi-supervision monocular three-dimensional object detection using LiDAR camera systems. Journal of Electronic Imaging. 32(5). 2 indexed citations
17.
Chen, Tiankai, et al.. (2023). Lidar Point Semantic Segmentation Using Dual Attention Mechanism. Journal of Russian Laser Research. 44(2). 224–234. 1 indexed citations
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Chen, Tiankai, et al.. (2022). Semantic Segmentation Algorithms for Ground AGV and UAV Medical Transport Scenes. 252–255. 1 indexed citations
20.
Wang, Shifeng. (2007). Design and Implementation of PDA-based Public Transportation System. Jisuanji yingyong yanjiu. 1 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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