Can Wang

5.1k total citations · 1 hit paper
248 papers, 3.8k citations indexed

About

Can Wang is a scholar working on Biomedical Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Can Wang has authored 248 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Biomedical Engineering, 43 papers in Aerospace Engineering and 41 papers in Computer Vision and Pattern Recognition. Recurrent topics in Can Wang's work include Muscle activation and electromyography studies (45 papers), Prosthetics and Rehabilitation Robotics (44 papers) and Stroke Rehabilitation and Recovery (26 papers). Can Wang is often cited by papers focused on Muscle activation and electromyography studies (45 papers), Prosthetics and Rehabilitation Robotics (44 papers) and Stroke Rehabilitation and Recovery (26 papers). Can Wang collaborates with scholars based in China, Hong Kong and United States. Can Wang's co-authors include Xinyu Wu, Dong Sun, Tao Yang, C.T. Liu, Hong Liu, Gang Feng, Yuan Gao, Yue Ma, Yi Liu and Du-Xin Liu and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Can Wang

227 papers receiving 3.7k citations

Hit Papers

Control of nanoscale precipitation and elimination of int... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Wang China 32 1.3k 573 498 489 432 248 3.8k
Jamshed Iqbal Pakistan 37 633 0.5× 520 0.9× 311 0.6× 358 0.7× 266 0.6× 175 3.6k
Zhiqiang Zhang China 35 1.3k 1.1× 339 0.6× 541 1.1× 506 1.0× 641 1.5× 242 3.9k
Weihai Chen China 38 2.0k 1.6× 478 0.8× 556 1.1× 1.4k 2.9× 409 0.9× 434 7.1k
Junyan Hu Hong Kong 36 737 0.6× 375 0.7× 373 0.7× 376 0.8× 235 0.5× 116 3.8k
Liang Chen China 39 675 0.5× 1.1k 1.9× 531 1.1× 247 0.5× 499 1.2× 259 7.4k
Rolf Johansson Sweden 48 1.4k 1.1× 1.2k 2.1× 302 0.6× 269 0.6× 282 0.7× 457 8.3k
Xinyu Wu China 44 4.0k 3.2× 1.5k 2.6× 464 0.9× 1.4k 2.9× 1000 2.3× 608 8.2k
Bin Gao China 42 1.4k 1.1× 1.9k 3.4× 338 0.7× 453 0.9× 265 0.6× 241 5.4k
Bo Tao China 41 1.3k 1.0× 418 0.7× 413 0.8× 1.6k 3.3× 266 0.6× 191 4.9k
Chao Liu China 31 703 0.6× 733 1.3× 233 0.5× 480 1.0× 379 0.9× 190 3.3k

Countries citing papers authored by Can Wang

Since Specialization
Citations

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

Fields of papers citing papers by Can Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Can Wang. A scholar is included among the top collaborators of Can 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 Can Wang. Can 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.
Liang, Guoyuan, et al.. (2025). Trunk-branch contrastive network with multi-view deformable aggregation for multi-view action recognition. Pattern Recognition. 169. 111923–111923.
2.
Wang, Can, et al.. (2025). sEMG-Based Joint Angle Estimation via Hierarchical Spiking Attentional Feature Decomposition Network. IEEE Robotics and Automation Letters. 10(3). 2176–2183. 1 indexed citations
4.
Wang, Can, et al.. (2025). SLOT-MPC: A Hierarchical Whole-Body Model Predictive Controller to Enhance Simultaneous Localization and Object Tracking for UAVs. IEEE Robotics and Automation Letters. 10(10). 9870–9877.
5.
Wang, Yijin, Jian‐Jun Zhang, Shiyu Zhang, et al.. (2024). Application of a novel nested ensemble algorithm in predicting motor function recovery in patients with traumatic cervical spinal cord injury. Scientific Reports. 14(1). 17403–17403.
7.
Zhang, Ruiyong, et al.. (2024). Extraction of Copper from Copper Concentrate by Indigenous Association of Iron-Oxidizing Bacteria. Separations. 11(4). 124–124. 1 indexed citations
8.
Wang, Can, et al.. (2024). Generating 6-D Trajectories for Omnidirectional Multirotor Aerial Vehicles in Cluttered Environments. IEEE Robotics and Automation Letters. 9(10). 8818–8825.
9.
Wang, Can, et al.. (2024). A Pruning and Distillation Based Compression Method for Sonar Image Detection Models. Journal of Marine Science and Engineering. 12(6). 1033–1033. 4 indexed citations
10.
Wang, Can, et al.. (2024). Explainable Basic-Fighter-Maneuver Decision Support Scheme for Piloting Within-Visual-Range Air Combat. Journal of Aerospace Information Systems. 21(6). 500–514. 3 indexed citations
11.
Shi, Yanyan, et al.. (2023). Classification of Hemorrhage Using Priori Information of Electrode Arrangement With Electrical Impedance Tomography. IEEE Access. 11. 31355–31364. 1 indexed citations
12.
Liu, Jianli, Jiabao Zhang, Yujie Niu, et al.. (2023). An Improved UAV-Based ATI Method Incorporating Solar Radiation for Farm-Scale Bare Soil Moisture Measurement. Remote Sensing. 15(15). 3769–3769. 3 indexed citations
13.
Wang, Can, et al.. (2022). A sharp error estimate of Euler‐Maruyama method for stochastic Volterra integral equations. Mathematical Methods in the Applied Sciences. 45(10). 6005–6029. 1 indexed citations
14.
Liang, Guoyuan, et al.. (2021). A Manufacturing-Oriented Intelligent Vision System Based on Deep Neural Network for Object Recognition and 6D Pose Estimation. Frontiers in Neurorobotics. 14. 15 indexed citations
15.
Deng, Xiaoqin, Ling Zhao, Changyi Guo, et al.. (2020). Higher Serum Asprosin Level is Associated with Urinary Albumin Excretion and Renal Function in Type 2 Diabetes. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Yang, Tao, Yilu Zhao, Lei Fan, et al.. (2020). Control of nanoscale precipitation and elimination of intermediate-temperature embrittlement in multicomponent high-entropy alloys. Acta Materialia. 189. 47–59. 206 indexed citations breakdown →
17.
Kong, Haojie, Tao Yang, Tianlong Zhang, et al.. (2020). Breaking the strength-ductility paradox in advanced nanostructured Fe-based alloys through combined Cu and Mn additions. Scripta Materialia. 186. 213–218. 26 indexed citations
18.
Ma, Yue, Xinyu Wu, Jingang Yi, Can Wang, & Chunjie Chen. (2019). A REVIEW ON HUMAN–EXOSKELETON COORDINATION TOWARDS LOWER LIMB ROBOTIC EXOSKELETON SYSTEMS. International Journal of Robotics and Automation. 34(4). 23 indexed citations
19.
Miao, Weining, Dianyu Wang, Zemin Liu, et al.. (2019). Bioinspired Self-Healing Liquid Films for Ultradurable Electronics. ACS Nano. 13(3). 3225–3231. 41 indexed citations
20.
Wang, Can, et al.. (2018). A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification. Complexity. 2018(1). 32 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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